SiMBTA
Visualization Tool
Project by Hannah Clark, Andrew Stephens, and Raewyn Duvall
Scroll Through Time:
min
Analyze
Average Travel Time
Origin Station
Destination Station


Class: Hammer
- Inherits:
-
ActiveRecord::Base
- Object
- ActiveRecord::Base
- Hammer
- Defined in:
- rails/app/models/hammer.rb
Overview
Hammers encapsulate the concept of being able to perform actions on a node outside the context of the noderole graph. Exmaples of these actions include:
-
Copying files to and from the system.
-
Executing a command on the system as someone with admin rights.
-
Powering a system up or down.
-
Changing the boot target of a system.
-
Any other node management task that does not belong on the node role graph.
Direct Known Subclasses
Class Method Summary (collapse)
Instance Method Summary (collapse)
Class Method Details
+ (Object) bind(args)
32 33 34 35 36 37 38 39 40 41 42 |
# File 'rails/app/models/hammer.rb', line 32 def self.bind(args) raise "Must pass a manager_name: arg" unless args[:manager_name] Rails.logger.info("Hammer: Binding #{args[:manager_name]} to #{args[:node].name}") anm = AvailableHammer.find_by!(name: args.delete(:manager_name)) Rails.logger.debug("Hammer: #{args.inspect}") args[:available_hammer] = anm args[:name] = anm.name args[:type] = anm.klass args[:priority] ||= anm.priority Hammer.create!(args) end |
+ (Object) gather(node)
56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 |
# File 'rails/app/models/hammer.rb', line 56 def self.gather(node) res = Hash.new node.hammers.order("priority DESC").each do |mgr| mgr.actions.each do |k,v| res[k] ||= Hash.new v.each do |meth| next if res[k][meth] res[k].define_singleton_method(meth) do |*args| mgr.send(meth,*args) end res[k][meth] = res[k].method(meth) end end end res end |
+ (Object) probe(node)
52 53 54 |
# File 'rails/app/models/hammer.rb', line 52 def self.probe(node) false end |
Instance Method Details
- (Object) actions
48 49 50 |
# File 'rails/app/models/hammer.rb', line 48 def actions {} end |
- (Object) as_json
44 45 46 |
# File 'rails/app/models/hammer.rb', line 44 def as_json super(methods: :actions) end |


To view organizations for a specific country, select from the following list.
{{ group.grouper }}
{%- if org.url %} {{ org.name }} {%- else %} {{ org.name }} {%- endif %}


| 787 | (A) | Sythis for the sekkes that ferly were kene |
| 790 | (C) | ¶ Sythes for þe sakkes . þat were bothe fełł & kene |
| 782 | (D) | Sythes for þe sakkis þat sharp were and kene |
| 762 | (E) | sythes þat scharp were . þe ropes for kytte |
| (Ex) | ---- no text ---- | |
| 806 | (L) | siþes for þe sackes þat selly were kene |
| 735 | (P) | Sythes for þe sakkes þat selly war kene |
| 770 | (U) | Sythes for the sakkes / that selly were kene |
| (V) | ---- no text ---- |


Your order arrives on time without any delay
We respond to your order as soon as possible during the same day
We always have special discounts and offers, register to receive all new.
Daliy offer Buy worth 200 JD and get a gift of your choice
Our employee responsible for flower bouquets, birthday and romantic bouquets.
Our employee responsible for decorating cars for weddings and graduation
Our employee responsible for indoor and outdoor plants department.
Our employee responsible for new baby section, bouquets/ ballons / chocolate
The new baby department celebrated their first order and took pictures of it.
We have reached order number 1000, and it's the second most requested section in our shop.
Our new partner Coco shops. A very beautiful assortment of roses and chocolates will be available.
We now have a new section dedicated to balloon decorations only We are now starting to receive your requests.
A new partnership between us and the Macron store to provide orders, flowers and macarons at special prices and amazing designs.
Our new branch has opened in Zarqa, we are ready to receive your requests. right Now Special offers until a week from the opening date.


BMW shows off i4 electric car
by Staff WriterBMW has revealed photos of its i4 electric vehicle, a new sedan which is set to arrive in 2021.
The pictures were revealed at the 2019 Los Angeles Auto Show and feature the camouflaged i4 during testing in snowy winter conditions in Sweden, with a design similar to the current BMW 3-series.
The German automaker claims that the i4 can reach up to 600 kilometres of range from a single charge on its 80kWh battery pack.
By comparison, Tesla recently managed to reach that mileage on a 100kWh battery.
Fifth-generation of eDrive
BMW said the i4’s electric powertrain employs the fifth generation of BMW’s eDrive system, which includes a high-voltage battery configuration like Porsche’s Taycan.
The i4’s 390kW electric motor supposedly puts out 523 brake horsepower, allowing the car to go from 0-100 km/h in four seconds.
This gives the car a performance output that mirrors BMW’s current V8 engines.
More electric BMWs coming
The BMW i4 will be the third car in BMW’s electric line-up.
The i3 hatchback has been the lone electric-only BMW model since 2013, while the electric variant of the X3 SUV is due to launch in 2020.
BMW plans to expand its electric offering with up to five dedicated i-series vehicles by the end of 2021.
By 2025, it endeavours to have 12 electric cars across the entire BMW Group, which also includes Mini and Rolls-Royce.


Jul 7, 2006 10:47 AM
The EdLab Seminar presents: Anna Beard will present market research on the potential of a blog-based publication for consumers of education. Anna's initial findings are a follow-up on a project proposal by Hui Soo Chae and Jeff Frank that calls for two blogs: 1) a blog that highlights the experiences of TC students as the make their way through their first year of student teaching, and 2) a blog that highlights the experiences of a handful of high school seniors as they navigate the process of preparing to go to college. Please RSVP to this event (edlab@tc.columbia.edu). Lunch will be provided. Notes from Anna on the event: Hello Everyone. In preparation for our discussion on high school journalism and blogging at the EdLab Seminar this Wednesday, it would be very helpful if you could take a brief look at the web pages listed at the bottom of this page. While you are browsing, please consider the following questions: 1) What are some common themes present in high school newspapers? 2) Are there any features on the following websites that you admire? Are there any features that could be enhanced? 3) What aspects of schooling do you think teens are particularly apt to speak about, critique and share with their peers and/or with educators? 4) If the EdLab were to embark on a new publication/web site primarily centered on the teen audience, what features would you like to see present? Thanks. I look forward to our discussion this Wednesday. Sincerely, Anna Links: BrookSpeak http://www.pebblebrookpress.com/brookspeak/ The Lasso http://www.fccps.k12.va.us/gm/lasso/lasso.htm *Please Read: http://www.fccps.k12.va.us/gm/lasso/commentary/5-19-06-scott.htm Crusher's Chronicles http://my.highschooljournalism.org/la/opelousas/ohs/article.cfm?eid=5669&aid=84667 Off the Track http://www.offthetrack.org/ Next Steps Magazine http://www.nextstepmagazine.com/NSMPages/blogs.aspx *Please read July 31, 2005, December 15, 2005 and February 22, 2006 http://www.nextstepmagazine.com/blogs/carlac.htm


Welcome to Barcode4J
Introduction
Barcode4J is a flexible generator for barcodes written in Java. It's free, available under the Apache License, version 2.0.
Features
- 1D barcode implementations [examples] [xml-format]:
- Interleaved 2 of 5
- ITF-14
- Code 39
- Code 128
- EAN-128, GS1-128 (based on Code 128)
- Codabar
- UPC-A and UPC-E (with supplementals)
- EAN-13 and EAN-8 (with supplementals)
- POSTNET
- Royal Mail Customer Barcode (Four State)
- USPS Intelligent Mail (4-State Customer Barcode)
- 2D barcode implementations [examples] [xml-format]:
- PDF 417 (ISO/IEC 15438:2001(E))
- DataMatrix (ISO/IEC 16022:2000(E))
- Support for multiple output formats [output-formats]:
- SVG
- EPS (Encapsulated PostScript)
- Bitmap images (such as PNG or JPEG)
- Java2D (AWT)
- Text (for testing and debugging only)
- Servlet with support for SVG, EPS and bitmap output [more info]
- Command-line interface [more info]
- Plug-ins/extensions for third-party products:
Important Krysalis Barcode News
Krysalis Barcode has been renamed to Barcode4J and moved to its own SourceForge project. More...


Explore React Tutorials
Education matters, never stop learning new skills
Learn react and build your own app
Education matters, never stop learning new skills
Learn react and build your own app


Lab 1 - boot loader
Part 2: The Boot Loader
Q/A Section:
Q: At exactly what point does the processor transition from executing 16-bit code to executing 32-bit code?
A: Processor transitions from executing 16-bit code to executing 32-bit code on execution of following instruction:
1
|
|
Q: What is the last instruction of the boot loader executed, and what is the first instruction of the kernel it just loaded?
A: Last instruction of boot loader executed is call of routine in .text section of kernel:
1
|
|
Q: How does the boot loader decide how many sectors it must read in order to fetch the entire kernel from disk? Where does it find this information?
A: Boot loader decides how many sectors to read using information stored in ELF header. The ELF file format is shown in following image:
At the start of main.c, first sector (512 bytes) is loaded from disk. This sector is now in memory starting on location of 0x10000 and contains ELF File Header. First check is whether this is a correct ELF file by checking if magic number (first four bytes) of ELF file are correct:
1 2 3 |
|
ELF Program Header address is loaded to ph
variable:
1
|
|
where e_phoff is the offset of program header from the start of the file. Then we store the address of last program header to eph variable:
1
|
|
where e_phnum is the number of entries in program header. Now we simply iterate through program header table and read segments using function readseg giving it 3 arguments:
1 2 3 |
|
It’s obvious that read size is rounded to sector size boundary which means that we load more than we really need in most cases.
Exercise 6. Reset the machine (exit qemu and start it again). Examine the 8 words of memory at 0x00100000 at the point the BIOS enters the boot loader, and then again at the point the boot loader enters the kernel. Why are they different?
A: Entry point in kernel is 0xf0100000 which we pass as virtual address to readseg
function which does 0xf0100000 & 0xFFFFFF which gives the address at which we load the program text (0x100000). First 8 words contain first 8 words of kernel program text.
Exercise 8. We have omitted a small fragment of code - the code necessary to print octal numbers using patterns of the form “%o”. Find and fill in this code fragment.
Following fragment is added starting with line 209 in printfmt.c
:
1 2 3 4 |
|
Q: Explain the interface between printf.c and console.c. Specifically, what function does console.c export? How is this function used by printf.c?
A: File console.c
exposes cputchar
function which is used in
printf.c
file.
Q: Explain the following from console.c:
1 2 3 4 5 6 7 |
|
A: This code does line scrolling if crt_pos
is at last line of crt +
1
Q: In the following code, what is going to be printed after ‘y=’? (note: the answer is not a specific value.) Why does this happen?
A: Random garbage will be printed since second variable is not specified.
Challenge Enhance the console to allow text to be printed in different colors.
I decided to go with standard ANSI escape sequences to define text foreground and background colors. Full specification can be found here ANSI escape sequence. Defined functions include various screen actions but for text foreground/background coloring I decided to implement just a small subset of whole specification called “Set Graphics Mode”. Following pattern is used to specify color:
Esc[Value;...;Valuem
Following attributes are defined:
Text attributes:
0 All attributes off
1 Bold on
4 Underscore (on monochrome display adapter only)
5 Blink on
7 Reverse video on
8 Concealed on
(in my implementation - text attributes are ignored)
Foreground colors:
30 Black
31 Red
32 Green
33 Yellow
34 Blue
35 Magenta
36 Cyan
37 White
Background colors:
40 Black
41 Red
42 Green
43 Yellow
44 Blue
45 Magenta
46 Cyan
47 White
ANSI defined colors and CGA colors use different codes so translation table was needed. This table is defined in following array:
1 2 3 4 5 6 7 8 9 10 |
|
All changes are done in lib/printfmt.c
file in 6e626f5e1fa1cb8d1daccccbd775c29faf7f836a
commit.
To test this feature I added ANSI coloring to one of of cprintf’s:
1
|
|
And the result is:
Exercise 11. Implement the backtrace function as specified above. Use the same format as in the example, since otherwise the grading script will be confused. When you think you have it working right, run make grade to see if its output conforms to what our grading script expects (you should pass the Count and Args tests), and fix it if it doesn’t. After you have handed in your Lab 1 code, you are welcome to change the output format of the backtrace function any way you like.
Calling stack for C programs has following layout:
I created the following C structure to read parameters from calling stack:
1 2 3 4 5 |
|
I decided to limit it to 5 function arguments since not a single function in current JOS kernel uses more than 4 - so this should be enough. Now the only problem is how to know when to stop recursive traversing of stack and for that answer, following line is from kern\entry.S
:
1
|
|
So this way - when we reach ebp with value 0 - we know that we should stop traversing stack. This is partial code of traverse:
1 2 3 4 5 6 7 |
|
The rest of this exercise is simply printing arguments using:
1
|
|
Exercise 12. Modify your stack backtrace function to display, for each eip, the function name, source file name, and line number corresponding to that eip.
Excellent tutorial on stabs debug format can be found here.
Stabs structure and constants are defined in inc\stab.h
. I decided to do both of those functions in one commit (036672789b00140a951cc216f4ae8066b4c28a00
). Here is the result:
and grade script for this lab is satisfied:
EXTRA point This makes pretty useful backtrace function but I didn’t want to guess how many arguments there are to the function (by default we print 5 of them no matter how many of them function uses) nor arguments names so I decided to use N_PSYM
stab tag to calculate number of arguments and get argument names. Now the same output with this enhancement is a bit more useful:
We can easily spot from this output that monitor
function has one argument named tf
, that i386_init
has no arguments etc, etc. This will make troubleshooting a bit easier.
This enhancement is in commit (74818a8a7afc72da67f4c43a48a7e6bcd2f73960).


Table provides a preview of the interpolation table. Updates must be made directly in the Interpolation file.
To rename the table, select the table name in the configuration tree. The Table Configuration page appears to the right of the configuration tree.


Event Location:
LSU Patrick Taylor Hall - old CEBA
2228 Patrick Taylor Hall
Baton Rouge, Louisiana
Abstract:
The LSU Foundation embarked on its first $1B+ campaign in the university's history. To prepare, the organization saw the need to instill discipline, overhaul its systems, and develop a progressive business intelligence shop from the ground up. In this session you will hear from a world ranked World of Warcraft player on how her experience competing with one of the top guilds in the world provided deep insights that allowed her to build compelling, user friendly dashboards while instilling a culture that embraced transparency and accountability. This is a deep dive into the process that got them there, and the lessons they learned along the way. You will leave this session with concrete, actionable tasks and tools to begin building better dashboards, and a performance driven culture of your own.
Speaker(s): Adrian Owen,
Abstract:
Do you want to be a Data Engineer in the next step on your career path? Maybe you're just getting started in the rapidly-growing Data Science and Analytics space? Or perhaps you're already doing on-premises analytics and want to take things to the cloud? Then come to this introductory session and see what Azure Databricks can do for you! Azure Databricks provides a cloud-based Apache Spark environment that can be scaled up and out to tackle your big data analytics needs. We'll look at how to set up your first Azure Databricks cluster, how to use shared notebooks in a collaborative environment, and how to leverage the integrated Azure Machine Learning capabilities. We'll also discuss where Azure Databricks fits in the modern cloud data warehouse.
Speaker(s): Chris Hyde,
Abstract:
Python is the one of the most popular programming languages used today and one of the most useful tools in the data scientist's tool belt, especially for machine learning. Python is integrated into the Microsoft stack in tools like Azure ML, Databricks, Azure Functions and SQL Server. This session will dive in-depth into proper data modeling and deployment using the Python language including: 1. Data extraction 2. Data cleaning 3. Data transformation 4. Data exploration and visualization 5. Predictive modeling 6. Model validation/testing 7. Deployment of the solution. Attend this session to learn how to use Python to conduct data analysis and modeling. We will use Python and packages like pandas, numpy, matplotlib, scikit-learn and others to explore real-world datasets and build data models using proper techniques like feature engineering, splitting datasets into validation and training datasets, testing data models, interpretability of a machine learning (ML) models a
Speaker(s): Jamey Johnston,
Abstract:
SQL Server 2017 and 2019 have arrived, bringing with them a host of exciting new features. Of particular interest to BI practitioners and data scientists is the integration of the Python programming language into the SQL ecosystem. This integration opens up a number of possibilities for in-database analytics and intelligent database applications, so let's get started! In this introductory session we'll briefly introduce the Python language and then look at how to install and administer Machine Learning Services. We'll start to demonstrate the power of Python by showing you how to create and run simple scripts from within T-SQL. We'll then discuss some of the powerful open source packages that are available to aid your data analyses. Finally, we'll go through some examples of how to use Python to integrate data analytical methods in real-world situations, and wow your customers with the power of analytics!
Speaker(s): Chris Hyde,
Abstract:
Time-Intelligence refers to doing BI calculations across periods of time (usually dates), and is the most common type of analysis in business reporting. Month-to-Date (MTD), Year-to-Date (YTD), Prior-Month (PM), Prior-Year (PY), Month-over-Month (MoM), Year-over-Year (YoY) are all examples of Time-Intelligence calculations. There are many approaches to implementing time-intelligence into your Power BI solutions, including the use of built-in date tables and time-intelligence functions. In this session, we'll explore several of these approaches and the associated tradeoffs. We'll also learn about the importance of a good date table, what attributes it should include, and how it can be leveraged to simplify more complex time-intelligence calculations. We'll also take the first step in mastering DAX by familiarizing ourselves with the CALCULATE function.
Speaker(s): Bill Anton,
Abstract:
The Louisiana Department of Health provides a wide range of services to promote and protect the health of people living in Louisiana. The LDH Office of Public Health – Bureau of Health Informatics uses a variety of tools to perform data exploration, conduct data analysis, construct data tools, and create dashboards to help meet the goal of monitoring and improving health. In this session, you’ll see how we use these tools to study data and present public-facing information on topics such as social determinants of health, the opioid epidemic, and the treatment of Hepatitis C. Along the way, we’ll look at mapping in Tableau and how to build a Tableau dashboard embedded in a web page.
Speaker(s): Lee Mendoza,
Abstract:
Often the most challenging aspect of becoming a data-driven organization is determining where to start. Case in point: Icimo Analytics. As a company that transforms data into meaningful business value, we were neglecting our own data journey. Externally, we were transforming organizations into lean data machines while internally, we were still relying heavily on spreadsheets, multiple platforms and disparate systems. Turning our expertise inward, we designed dynamic dashboards fueled by Tableau and Alteryx to see a one-stop holistic view of our entire business. The end result? Each employee is strategically positioned to see, understand and make data-driven informed decisions driving value and setting the foundation for lasting growth and success.
Speaker(s): Jennifer Gartner,
Abstract:
A panel discuss of BI professionals, intended for job seekers, students, and professionals looking to transition into Business Intelligence fields.
Speaker(s): William Assaf,
Abstract:
Power BI is a great tool for mashing up and visualizing data. If you are not careful though, you end up with visuals that take too long to load and a PBIX that exhausts available memory. This session shows you how to maintain the crisp performance and stunning compression that you want in every data model. To help with the optimization effort, Dan will demonstrate common tools for troubleshooting Power BI performance issues. He will also review some common mistakes that drain the life from models and provide ways to avoid these pitfalls.
Speaker(s): Dan Szepesi,
Abstract:
See how to use Power BI to mine the data you have in SharePoint and Office 365. We’ll pull data from lists, files in libraries, triggered activities using Microsoft Power Automate, and show how to embed reports in SharePoint/Teams. We will provide a short Power BI licensing overview as well. We’ll also show you how this can be automated so that you save time and money by eliminating a manual process.
Speaker(s): Treb Gatte,
Abstract:
There's an old adage in software development: Garbage In, Garbage Out. This adage certainly applies to data science projects: if you simply throw raw data at models, you will end up with garbage results. In this session, we will build an understanding of just what it takes to implement a data science project whose results are not garbage. We will the Microsoft Team Data Science Process as our model for project implementation, learning what each step of the process entails. To motivate this walkthrough, we will see what we can learn from a survey of data professionals' salaries.
Speaker(s): Kevin Feasel,
Abstract:
This session will give you an introduction to Power BI dataflows and how to leverage the data for data science. Power BI dataflows allow for self service data migration into Azure Data Lake Services gen 2 utilizing Power Query. This session will show how to use dataflows, setup Azure Data Lake Services gen 2 and dataflows and how to connect to the resulting data in the Azure Data Lake Services gen 2 to do Data Science with tools like Azure Databricks. This session will use real data and analytics to demonstrate Power BI dataflows, Azure Data Lake Services gen2 and Azure Databricks utilizing DAX, M and Python.
Speaker(s): Jamey Johnston,
Abstract:
Do you know what makes a great data model? What does it mean to be Third Normal Form or a Star Schema? When would you use one over the other and why? How can you identify bad designs? In this presentation you will be exposed to good and bad models and learn what you should do in order to create a perfect ten model of your own!
Speaker(s): Leslie Andrews,
Abstract:
Snowflake is a data warehouse built from the ground up to take advantage of all that the cloud has to offer. We’ll take a walkthrough of the system from setup to usage and see a demonstration of how Snowflake can supercharge your BI platform. This session will show you how to rethink old design patterns to make use of ELT, not ETL, in a scalable cloud environment.
Speaker(s): Michael Treadwell,
Abstract:
In this session, Michelle will share tips and tricks for designing business dashboards that engage, excite, and inform your end users. Using research-based best practices and principles of design, you will learn how to develop dashboards from a people-first perspective, to help you get your message across to your end user. You will leave this session with new skills, techniques, and a ton of resources to get you on your way!
Speaker(s): Michelle Gaudette,
Abstract:
A quick glance at the sessions scheduled shows there are lots of talks about PowerBI. This is your chance to check out the competition. I've been excited about Tableau for over 10 years. I'll show you why I think it's the best choice for building a data driven culture in your organization. We will explore the Tableau Prep tool, Tableau Builder and take a look at Tableau Server.
Speaker(s): Tim Costello,
Abstract:
Suppose you work for a large organization with hundreds or even thousands of potential Power BI users. Is Power BI for you? Can it handle the workload? The answer is YES! Join Bryan Smith and Rusty Friouxs they discuss the deployment and governance of Power BI at scale. Topics will include the benefits of Power BI Pro, proper use of Active Directory for user management, the Power BI API, PowerBI DataFlows, integration with large ERP systems like SAP, among others.
Speaker(s): Rusty Frioux,
Abstract:
Gold Sponsor - Pure Storage
Speaker(s): Thomas LeBlanc,
Abstract:
How do we deliver more business value to data hungry customers who constantly want more and faster? How do we enable automation to deliver complex solutions that provide consistent data to empower a self-service BI environment? I will demonstrate how our analytics team is leveraging Azure and cloud-native technologies to ensure we can meet the demands of our customer base, and in turn, deliver faster and higher volume results. My presentation will walk through an end-to-end solution – from data acquisition using Azure Logic Apps; data transformation via Azure Data Factory; and ending with reporting in PowerBI.
Speaker(s): Ed Pearson,
Abstract:
Gold Sponsor - Safety Alliance Council
Speaker(s): Balaji Nedurumalli,
Abstract:
Are you an aspiring entrepreneur who wants to do more with your data? Have you ever wondered what are some of the key differences between different data visualization tools? In this session I will provide a high level overview of different data visualization tools and discuss pros and cons of each. The goal of this session is to provide you with information that will help you determine which tool is best for you!
Speaker(s): Sekou Tyler,
Abstract:
This session will explore a variety of considerations that modern data scientists and data practictioners must account for when gathering and presenting data, including topics on bias, construct analysis, and machine learning.
Speaker(s): William Assaf,
Abstract:
We are living in a world full of data but what we need is information. What is required to transform data into information? What are the foundational activities your organization needs to do in order to produce analytics that you are confident in sharing? In this session we will discuss what is needed for your organization to convert data into information, the basics of: Data Governance, Data Modeling and how to have an immediate impact using tools like Power BI to deliver value; and, Data Visualizations and telling stories with the data.
Speaker(s): Leslie Andrews,
Abstract:
How They Will Impact Your Organization? - Is your organization ready for the third BI wave? There are five key trends in Business Intelligence that are dramatically changing the way we approach reporting. Join Treb as he takes you through each trend, the challenges resulting from the trend and recommended actions to take.
Speaker(s): Treb Gatte,
Abstract:
Gartner has their perspective on the analytics industry, but what is happening in our own backyard? Join Rusty Frioux from Sparkhound as he leads a discussion about projects and initiatives he's seen in Louisiana this year and what services Sparkhound expects to be in demand through 2021.
Speaker(s): Rusty Frioux,
Abstract:
You're tasked with moving SSIS packages to Azure. How do you tackle these existing ETL processes to work seamlessly in Azure? Join David Nguyen and Anandi Subramanian as they demonstrate the basics, highlight some challenges, and things you need to know about Azure Data Factory Version 2, Microsoft's new data integration and orchestration engine for Azure. The speakers will discuss similarities and differences between ADF and SSIS, and walk through strategies for "lifting and shifting" SSIS workloads directly to ADF and Azure.
Speaker(s): Anandi Subramanian,
Abstract:
Everyone wants a high functioning internal analytics team, but what does it take to make that happen? In this session I share the six key factors I've identified in my 20 years of experience in the field. I will show you what you need and some of the tools that make it easier to succeed in building (or reviving) an analytics team.
Speaker(s): Tim Costello,
Abstract:
Data is everywhere and Data Science is a very popular topic among data analysts and BI professionals. In this session, I will cover the basic data science principles and methodologies using the Python programming language. I will also present some real-world data analysis case studies using the Python libraries, such as NumPy, pandas, Matplotlib, and SciPy. This session will benefit to anyone who is looking to get started in the data science/ Data Analytics field.
Speaker(s): Ganesh Lohani,
Abstract:
Putting together an initial dashboard can have its own challenges. However, what does it take to go from a dashboard that meets requirements to one that shines and dazzles? This talk will look at best practices for which types of visuals to use, as well as which should be averted and why. We will dig into things like colors to avoid, good charts and bad charts, and ways to maximize the visual real estate.
Speaker(s): Ed Witherington,
Abstract:
In this session, I will talk about how Pure Storage technologies can help you save a ton of time, work, and storage space. I will also briefly discuss our new - and totally free - SSMS plugin, which makes working with our storage easier than ever before for DBA's. There will be prizes for random attendees.
Speaker(s): Eric Nail,
Abstract:
The Naïve Bayes series of algorithms are some of the simplest classification algorithms, but they tend to offer reasonably good results very quickly for a number of problems, including Natural Language Processing problems such as spam classification, as well as more classical feature-driven classification. In this talk, we will look at the math behind Naïve Bayes classification, solving problems by hand before looking at a package in R which solves the problem for us. By the end of this talk, you should be able to apply Naïve Bayes to existing problems. No experience with statistics is required, although there will be a small amount of math.
Speaker(s): Kevin Feasel,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: https://www.linkedin.com/in/williamdassaf/
Contact: http://www.sqltact.com
William Assaf, Data Platform MVP, is a principal consultant in Baton Rouge, LA. Initially a .NET developer, and later into database administration and architecture, William currently works with clients on SQL Server and Azure SQL platform optimization, management, disaster recovery and high availability, and leads a crack multi-city team of consulting SQL DBA's. William has written for Microsoft SQL certification exams since 2011 and was the lead author of the 2017 and 2019 editions of "SQL Server Administration Inside Out" by Microsoft Press. William is a member of the Baton Rouge User Groups board, a regional mentor for PASS, and past lead of the annual SQLSaturday Baton Rouge Planning Committee, having run one of the largest SQLSaturdays.
LinkedIn: https://www.linkedin.com/in/balaji-nedurumalli/
Balaji’s role at his company is to drive strategic decisions based on data and intel. He started his career as a systems programmer and gradually wore multiple hats in IT department before taking focus on Business Development, Strategy and Business Intelligence. He has Masters degrees in Business Administration, Engineering, Analytics that allows him to see things in different perspective.
LinkedIn: https://www.linkedin.com/in/ecpearson5/
Expert in data driven analytics to effect operational change in enterprises of all sizes utilizing a variety of data architectures and working with companies of all size to achieve data driven culture. Long career in IT and data with last 12+ years focused on analytics and reporting on data warehouses and big data stores. Worked with multi-terrabyte architectures engineering highly performant, real time ETL/ELT workflows. Built largely in cloud enviroments, primarily Azure, and using SQL Server. Experienced with BI for reporting, including PowerBI and Tableau.
LinkedIn: http://www.linkedin.com/pub/tim-costello/8/b38/a02/
Contact: http://www.timcost.com
Tim Costello is an MCITP, MCTS specializing in etl and data analytics for Interworks Inc. Tim is an international speaker that is always looking for opportunities to share his passion for SQL Server, Tableau and data visualization. Tim is active in the SQL community and leads a data visualization focused user group in the Dallas area.
LinkedIn: https://www.linkedin.com/in/rustyfrioux/
Rusty is a hands-on technical architect and business consultant with over 20 years’ experience in the consulting industry. He specializes in the design and creation of data analysis projects infrastructure to support good business and government decision making. Rusty’s deep knowledge of data science, infrastructure, applications, and metrics from multiple industries help him manage programs for a wide array of clients. Rusty holds a Master’s of Analytics from LSU. He currently serves as an Analytics Practice Director for Sparkhound. He has worked with Microsoft data technologies since 1999, including Power BI, Excel, SharePoint, SQL Server, and the current suite of Azure data technologies.
LinkedIn: http://www.linkedin.com/in/jameyj
Contact: http://STATCowboy.com
Jamey Johnston is a Senior Data Scientist/Engineer for a large independent OG company. For over 25 years, he has worked for Fortune 500 companies architecting successful platforms in the cloud, on the edge, and on-premises for BI reporting, statistical analysis, ML, and AI. Lately, he spends his time in Azure, Python, R, Power BI, MS SQL, and SAS JMP. He holds a BS in Spatial Analysis from LSU and a Masters of Science in Analytics from Texas AM. He is a professor at the Mays Business School at Texas AM in the MS Analytics program. He is active in his PASS Local Group in Houston, co-leader of the local Power BI users group and data analytics group. He regularly speaks and volunteers at PASS events. He is also a Microsoft Data Platform MVP.
LinkedIn: https://www.linkedin.com/in/andyparkerson/
Andy works at the leading eCommerce site for luxury outdoor kitchens. He is currently involved in data warehousing and BI development using data to make business decisions. He is active in the community with the Baton Rouge Analytics and Intelligence Network ( gobrain.org ). He enjoys grilling and smoking, and currently owns more grills than his wife approves of.
LinkedIn: http://www.linkedin.com/in/tgatte/
Contact: https://marqueeinsights.com/blog
Treb is a business intelligence expert with 24 years of experience. Prior to becoming CEO he worked in leadership positions at Microsoft, Starbucks, Wachovia (now Wells Fargo). He has been recognized as Data Platform MVP from Microsoft. Treb lives in the Seattle area with his wife, children and corgi and holds an MBA from Wake Forest University and a B.S. from LSU.
LinkedIn: http://www.linkedin.com/in/tgatte/
Contact: https://marqueeinsights.com/blog
Treb is a business intelligence expert with 24 years of experience. Prior to becoming CEO he worked in leadership positions at Microsoft, Starbucks, Wachovia (now Wells Fargo). He has been recognized as Data Platform MVP from Microsoft. Treb lives in the Seattle area with his wife, children and corgi and holds an MBA from Wake Forest University and a B.S. from LSU.
LinkedIn: https://www.linkedin.com/in/ganesh-lohani-6275a716
Ganesh Lohani has 10 years of experience working with Business Intelligence platform and Data Analytics, with over 8 years of experience with MS BI tools and Business Intelligence processes. He is currently working for Stericycle as a senior Business Intelligence Developer. He also enjoy his evening and weekend time in providing online training, coaching and mentoring individuals who want to learn MSBI (T – SQL, SSIS, SSRS, SSAS, and Power BI ) products. He holds MSIS degree from University of Texas at Arlington.
LinkedIn: https://linkedin.com/in/adrianannette
Adrian leads the 38-person Advancement Services team at the LSU Foundation which includes the departments of Analytics, Donor Relations, Information Services, Records Data Management, and Research Prospect Management. She began her career as a working artist in visual media. This creative background shaped her approach to data and systems. Adrian is an active volunteer in her profession and the community. Her current leadership roles include serving as the incoming editor for Connections Magazine and on Executive Management for the Junior League of Baton Rouge. She is a former world ranked World Ranked World of Warcraft player and remains an active gamer.
LinkedIn: http://www.linkedin.com/profile/view?id=29648544amp;trk=hb_tab_pro_top
Contact: http://Thomas-LeBlanc.com
Thomas LeBlanc (Microsoft Data Platform MVP) is a Data Warehouse Architect in Baton Rouge, and uses his 30+ years in IT to develop OLTP systems with normalized databases for high-performing T-SQL and dimensional data marts. Development is done in SSIS, SSAS, SSRS, Power BI, and Excel. As a PASS volunteer, he is past chair of Excel BI and Data Arch VCs and is active in the Baton Rouge Analytics and SQL Server User groups, as well as SQLSaturday in Baton Rouge. You can find his blog at TheSmilingDBA.BlogSpot.com and website at Thomas-LeBlanc.com
LinkedIn: https://www.linkedin.com/in/rustyfrioux/
Rusty is a hands-on technical architect and business consultant with over 20 years’ experience in the consulting industry. He specializes in the design and creation of data analysis projects infrastructure to support good business and government decision making. Rusty’s deep knowledge of data science, infrastructure, applications, and metrics from multiple industries help him manage programs for a wide array of clients. Rusty holds a Master’s of Analytics from LSU. He currently serves as an Analytics Practice Director for Sparkhound. He has worked with Microsoft data technologies since 1999, including Power BI, Excel, SharePoint, SQL Server, and the current suite of Azure data technologies.
LinkedIn: https://www.linkedin.com/in/mendozalee/
Lee Mendoza, Ph.D. is a healthcare and technology professional with 30 years experience. As an educator and a researcher, he has taught a wide array of allied health courses. He is also a professional software developer, and has developed software for healthcare practice management, electronic billing, and educational experience tracking. He is currently the director of Health Informatics in the Office of Public Health. His bureau prepares the State's Health Report Card, created and maintains the State's Health Data Portal, performs surveillance of the opioid and drug crisis in Louisiana, and produces a wide range of health data products and health data tools for the Department and the public.
LinkedIn: https://www.linkedin.com/in/xgeneric/
Eric Nail has worked in Information Technology for over twenty years and, like most of us, worn many different hats during this time. He lives in Baton Rouge with his wife and two rescue German Shepherd Dogs.
LinkedIn: https://www.linkedin.com/in/anandi-subramanian-5498141/
I started my IT journey 20+ years ago with native programming in C, C++ and Visual Basic. I found myself gravitating towards back end and databases made me comfortable, knowing what's in store, data being captured. The information that data reveals, modeling data to suit consumption, slicing and dicing to reveal the state of a business and visualization to tell a story is very enjoyable for me. As a consultant, I enjoy the vareity of business domains, business problems to solve and the challenge of devising a solution within constraints of client limitations or technology .
LinkedIn: http://www.linkedin.com/pub/tim-costello/8/b38/a02/
Contact: http://www.timcost.com
Tim Costello is an MCITP, MCTS specializing in etl and data analytics for Interworks Inc. Tim is an international speaker that is always looking for opportunities to share his passion for SQL Server, Tableau and data visualization. Tim is active in the SQL community and leads a data visualization focused user group in the Dallas area.
LinkedIn: http://www.linkedin.com/in/jameyj
Contact: http://STATCowboy.com
Jamey Johnston is a Senior Data Scientist/Engineer for a large independent OG company. For over 25 years, he has worked for Fortune 500 companies architecting successful platforms in the cloud, on the edge, and on-premises for BI reporting, statistical analysis, ML, and AI. Lately, he spends his time in Azure, Python, R, Power BI, MS SQL, and SAS JMP. He holds a BS in Spatial Analysis from LSU and a Masters of Science in Analytics from Texas AM. He is a professor at the Mays Business School at Texas AM in the MS Analytics program. He is active in his PASS Local Group in Houston, co-leader of the local Power BI users group and data analytics group. He regularly speaks and volunteers at PASS events. He is also a Microsoft Data Platform MVP.
LinkedIn: https://www.linkedin.com/in/andyparkerson/
Andy works at the leading eCommerce site for luxury outdoor kitchens. He is currently involved in data warehousing and BI development using data to make business decisions. He is active in the community with the Baton Rouge Analytics and Intelligence Network ( gobrain.org ). He enjoys grilling and smoking, and currently owns more grills than his wife approves of.
LinkedIn: http://www.linkedin.com/pub/bill-anton/12/526/4bb
Contact: http://byobi.com/blog/
Bill Anton is an expert in Analysis Services and an experienced data warehouse practitioner. In 2013, he founded Opifex Solutions, a consulting firm with deep expertise in enterprise-scale architecture, design, and performance optimization of Analysis Services and Power BI solutions. He loves eating and spends most of his free time convincing his beloved wife to adopt more golden retrievers.
LinkedIn: https://www.linkedin.com/in/williamdassaf/
Contact: http://www.sqltact.com
William Assaf, Data Platform MVP, is a principal consultant in Baton Rouge, LA. Initially a .NET developer, and later into database administration and architecture, William currently works with clients on SQL Server and Azure SQL platform optimization, management, disaster recovery and high availability, and leads a crack multi-city team of consulting SQL DBA's. William has written for Microsoft SQL certification exams since 2011 and was the lead author of the 2017 and 2019 editions of "SQL Server Administration Inside Out" by Microsoft Press. William is a member of the Baton Rouge User Groups board, a regional mentor for PASS, and past lead of the annual SQLSaturday Baton Rouge Planning Committee, having run one of the largest SQLSaturdays.
LinkedIn: https://www.linkedin.com/pub/kevin-feasel/7/716/504
Contact: http://www.catallaxyservices.com
Kevin Feasel is a Microsoft Data Platform MVP and CTO at Envizage, where he specializes in data analytics with T-SQL and R, forcing Spark clusters to do his bidding, fighting with Kafka, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL (https://curatedsql.com), president of the Triangle Area SQL Server Users Group (https://www.meetup.com/tripass), and author of PolyBase Revealed (https://www.apress.com/us/book/9781484254608). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.
LinkedIn: http://www.linkedin.com/pub/tim-costello/8/b38/a02/
Contact: http://www.timcost.com
Tim Costello is an MCITP, MCTS specializing in etl and data analytics for Interworks Inc. Tim is an international speaker that is always looking for opportunities to share his passion for SQL Server, Tableau and data visualization. Tim is active in the SQL community and leads a data visualization focused user group in the Dallas area.
LinkedIn: https://www.linkedin.com/in/ed-witherington-3b39743b/
Ed Witherington serves as the associate vice president of business intelligence for Columbia Southern University. He brings more than 18 years of experience in operations management, analytics and programming. He holds a B.S. in Commercial Banking from the University of South Alabama, Mobile, AL. Currently, he is working on his Masters in Business Intelligence and Data Analytics degree from St. Mary's University of Minnesota.
LinkedIn: https://www.linkedin.com/pub/kevin-feasel/7/716/504
Contact: http://www.catallaxyservices.com
Kevin Feasel is a Microsoft Data Platform MVP and CTO at Envizage, where he specializes in data analytics with T-SQL and R, forcing Spark clusters to do his bidding, fighting with Kafka, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL (https://curatedsql.com), president of the Triangle Area SQL Server Users Group (https://www.meetup.com/tripass), and author of PolyBase Revealed (https://www.apress.com/us/book/9781484254608). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.
LinkedIn: https://www.linkedin.com/in/rustyfrioux/
Rusty is a hands-on technical architect and business consultant with over 20 years’ experience in the consulting industry. He specializes in the design and creation of data analysis projects infrastructure to support good business and government decision making. Rusty’s deep knowledge of data science, infrastructure, applications, and metrics from multiple industries help him manage programs for a wide array of clients. Rusty holds a Master’s of Analytics from LSU. He currently serves as an Analytics Practice Director for Sparkhound. He has worked with Microsoft data technologies since 1999, including Power BI, Excel, SharePoint, SQL Server, and the current suite of Azure data technologies.
Michael Treadwell is a data engineering lead and the Alteryx practice lead at InterWorks. He earned a master’s in business analytics at Louisiana State University and now leads a team of data engineers
LinkedIn: https://www.linkedin.com/in/chris-hyde-3803706
Chris Hyde is a Microsoft Data Platform MVP and Microsoft Certified Trainer based in Albuquerque, New Mexico. He works as an independent SQL Server BI and DBA consultant, and is the leader of the Albuquerque PASS local user group. He is also part of the Friends of Redgate program and was a member of the Idera ACE class of 2018. He loves loud music and cricket, but usually not at the same time.
LinkedIn: https://www.linkedin.com/in/jennifer-gartner-30548a8/
Jennifer Gartner is the Director of Client Success at Icimo Analytics by Cherry Bekaert, a Tableau Gold and Alteryx Preferred Partner. As a strategic multidisciplinary executive, Jennifer draws upon her extensive Client Service and Product Development experience to help Icimo Analytics Clients design, execute and achieve their strategic data objectives. Prior to Icimo Analytics, she held leadership positions in both Account and Client Services in the industries of telecommunications, banking, financial and software. Jennifer serves on the Wake Tech Business Analytics Advisory Board, the Committee for Entrepreneurial Certifications and is an active sponsor for the Council for Entrepreneurial Development.
LinkedIn: https://www.linkedin.com/in/dan-szepesi-1294522/
Contact: http://szdata.co
My first few jobs in IT were random IT consulting gigs but I really cut my teeth working in managed hosting with Digex in the late 90's. I spent ten years supporting SharePoint at Microsoft but made the move to BI in 2015 and haven't looked back. I work with Power BI and prefer to spend my time building and optimizing data models from piles of data. When I am not wallowing in data, I spend time with my wife and two kids or pander to my mid life crisis by playing guitar.
LinkedIn: https://www.linkedin.com/in/chris-hyde-3803706
Chris Hyde is a Microsoft Data Platform MVP and Microsoft Certified Trainer based in Albuquerque, New Mexico. He works as an independent SQL Server BI and DBA consultant, and is the leader of the Albuquerque PASS local user group. He is also part of the Friends of Redgate program and was a member of the Idera ACE class of 2018. He loves loud music and cricket, but usually not at the same time.
LinkedIn: https://www.linkedin.com/in/sekoutyler
Contact: https://sqlsekou.com
I am a data geek who is fascinated with business intelligence and data visualization best practices. I started my IT journey on the helpdesk, transitioned into a SQL Developer and now my focus is storytelling with data. I have experience with several data visualization tools (Microsoft Power BI, Tableau, Amazon Quicksight, Qlik, Yellowfin, and Looker) and have worked with data in different industries, but my primary industry has been healthcare. My other interests include speaking, mentoring, reading, spending time with my wife and hanging out with friends and family.
LinkedIn: https://www.linkedin.com/pub/leslie-andrews-csm/9/491/b89
Contact: https://www.lace.technology/blog
Leslie Andrews is an IT professional with almost 20 years of experience working with databases, designing databases, as well as designing and developing applications against those databases. 2018-2019 Idera ACE.
LinkedIn: https://www.linkedin.com/pub/leslie-andrews-csm/9/491/b89
Contact: https://www.lace.technology/blog
Leslie Andrews is an IT professional with almost 20 years of experience working with databases, designing databases, as well as designing and developing applications against those databases. 2018-2019 Idera ACE.
LinkedIn: https://www.linkedin.com/in/michelle-gaudette-edd/
In the second half of 2018, I discovered Tableau Desktop, attended my first Tableau Conference, engaged in the Tableau Community, and took over as the Leader of the Pensacola Tableau User Group. I have 14 years of experience in the design and delivery of online and face-to-face technology- enriched learning environments, which are grounded in instructional design best practice, and I am now an Analytics Consultant and Trainer at Interworks. I am constantly immersing myself in new learning opportunities, and I love using my diverse and eclectic skill set to solve ill-defined problems and communicate in various contexts and domains.
The following is a list of sponsors that helped fund the event.
LSU College of Engineering - Patrick Taylor Hall


|
Geraldo RiveraGeraldo, a media pinhead, In November of 1988, the Geraldo daytime talk show achieved its highest ratings ever in over thirteen million homes. Young Hate Mongers featured John Metzger of the Aryan Youth Movement, and Robert Heick of the National Front (both white), Roy Innis of the Congress of Racial Equality (black), rabbi A. Bruce Goldman (Jewish), and a New Jersey couple who claimed they'd been attacked and terrorized by skinheads. Sitting in the audience was an army of neo-Nazi skinheads representing National Resistance. Metzger complained about "kikes" and called Innis an "uncle Tom." Innis walked over to Metzger, and placed his hands around the boy's neck. Pandemonium broke out in the studio, and within seconds Rivera was suffering from a broken nose - an injury inflicted by a chair was smashed across his face by Metzger's bodyguard. Throughout the program, young white supremacists were taunted and goaded, being called "a bunch of young clowns." Rivera warned them not to push him too hard. Calling his guests "hate mongers," and using cockroach metaphors was Rivera's rhetorical strategy, and it certainly resulted in a brawl. Geraldo stood back and watched the violence ensue, until a chair flew across the room and collided with his face. Geraldo stepped into the ring and fought back well, throwing some terrific punches. Geraldo Rivera is often observed defending his professional reputation and journalistic sensibilities. In 1986 he hosted the nationally-broadcast special, The Mystery of Al Capone's Vault. With dramatic flair, he fired a submachine gun through the wall of the second floor gymnasium at the Lexington Hotel in Chicago, with the potential discovery of dead bodies, jewels, or historical artifacts. Inside the vault was a pile of dirt and one (1) beer bottle, the television equivalent of a pie in the face. Rivera aired a story for Fox News about American soldiers who were killed abroad by friendly fire during a US bombing raid. Rivera intoned the Lord's Prayer and described the site as ''hallowed ground''. The problem was, David Foklenfilk of The Baltimore Sun discovered Rivera had been hundreds of miles away during the incident. The Fox News Channel concluded that Rivera had made a regrettable error. Geraldo defended his reporting as ''an innocent mistake'' in which he mistook ''the carnage in Tora Bora'' for the bloodshed in Kandahar. He also presented evidence that another friendly-fire attack took place in Tora Bora, from where he delivered his disputed report. Later, on Live With Regis and Kelly, Rivera suggested that Folkenfilk was suffering from penis envy. In March of 2003, while on assignment covering the war in Iraq, Geraldo was told by American military officials that he was no longer welcome to accompany U.S. soldiers. It turns out that during an on-air appearance, he'd drawn a map in the sand revealing sensitive information about U.S. troop locations. |


{% extends "account/signup.html" %} {% load i18n account django_bootstrap_breadcrumbs %} {% block extra_title %}{% trans 'Confirmation sent' %}{% endblock extra_title %} {% block breadcrumbs %}{{ block.super }} {% breadcrumb "Confirmation sent" "account_email_verification_sent" %} {% endblock breadcrumbs %} {% block container %}
{% blocktrans %}We have sent an e-mail to {{ email }} for verification. Follow the link provided to finalize the signup process. Please contact us if you do not receive it within a few minutes.{% endblocktrans %}


Hack
Cambridge
4D
Hack Cambridge is back! From the {{ dates.dayWithSuperscript(event.dates.getHackathonStartDate()) }} to the {{ dates.shortDateWithSuperscript(event.dates.getHackathonEndDate()) }}, the University of Cambridge’s annual hackathon will yet again bring together outstanding hackers, programmers, designers and more from universities all over the world to build amazing software.
For 24 hours they will build, break and innovate to produce projects that push the boundaries of technology.
Thank you for joining us.
We’ll be publishing an event page very soon! In it, you'll find a schedule, maps and directions, listings of APIs, hardware, prizes, and more.
Sign up to stay in the loop!
Sponsors
Thank you to everyone who sponsored Hack Cambridge Ternary last year! We couldn't have done it without you.
Interested in sponsoring Hack Cambridge this year?
Send us an email


Koffee Omolideh
Home
Art gallery
Shop
Commissions
Contacts
PENCIL ART
WATER ART
OIL ART
PENCIL ART
WATER PAINTS ART
OIL PAINTS ART


Hearing Aids India respects the privacy of all its users and is committed to guard it in all respects. To find out how user information collected at the website is protected, please read the following private policy document.
Please make a note that Hearing Aids India can make changes to this private policy from time to time. Keep checking this page to know more about the updated private policies.
We may collect the following information from our users:
The information collected at the website is to present our valuable customers with better services and in particular for the following reasons:
To make the process of collecting information secure, suitable physical and electronic procedures have been integrated with the website.
Our website may contain links to other websites of interest. However, once you have used these links to leave our site, you should note that we do not have any control over that other website. We are not responsible for the protection and privacy of any information which you provide whilst visiting such sites and such sites are not governed by this privacy statement. You should exercise caution and look at the privacy statement applicable to the website in question.
We will not sell, distribute or lease your personal information to third parties unless we have your permission or are required by law to do so.


4.8 Input Validation Testing
The most common web application security weakness is the failure to properly validate input coming from the client or from the environment before using it. This weakness leads to almost all of the major vulnerabilities in web applications, such as cross site scripting, SQL injection, interpreter injection, locale/Unicode attacks, file system attacks, and buffer overflows.
Data from an external entity or client should never be trusted, since it can be arbitrarily tampered with by an attacker. "All Input is Evil", says Michael Howard in his famous book "Writing Secure Code". That is rule number one. Unfortunately, complex applications often have a large number of entry points, which makes it difficult for a developer to enforce this rule. This chapter describes Data Validation testing. This is the task of testing all the possible forms of input to understand if the application sufficiently validates input data before using it.
(OTG-INPVAL-001) Reflected Cross Site Scripting
(OTG-INPVAL-002) Stored Cross Site Scripting
(OTG-INPVAL-003) HTTP Verb Tampering
(OTG-INPVAL-004) HTTP Parameter Pollution
(OTG-INPVAL-005) SQL Injection
(OTG-INPVAL-005-1) Oracle
(OTG-INPVAL-005-2) MySQL
(OTG-INPVAL-005-3) MSSQL
(OTG-INPVAL-005-4) PostgreSQL
(OTG-INPVAL-005-5) MSAccess
(OTG-INPVAL-005-6) NoSQL
(OTG-INPVAL-006) LDAP Injection
(OTG-INPVAL-007) ORM Injection
(OTG-INPVAL-008) XML Injection
(OTG-INPVAL-009) SSI Injection
(OTG-INPVAL-0010) XPath Injection
(OTG-INPVAL-0011) IMAP/SMTP Injection
(OTG-INPVAL-0012) Code Injection
(OTG-INPVAL-0012-1) Local File Inclusion
(OTG-INPVAL-0012-2) Remote File Inclusion
(OTG-INPVAL-0013) Command Injection
(OTG-INPVAL-0014) Buffer Overflow
(OTG-INPVAL-0014-1) Heap Overflow
(OTG-INPVAL-0014-2) Stack Overflow
(OTG-INPVAL-0014-3) Format String
(OTG-INPVAL-0015) Incubated Vulnerabilities
(OTG-INPVAL-0016) HTTP Splitting/Smuggling
(OTG-INPVAL-0017) HTTP Incoming Requests


interface ConnectorProvider
(source)
To provide a new Connector from a ConnectorConfiguration. The implementation is loaded at runtime to list all available connectors, using the java java.util.ServiceLoader
connectorType |
The connector type provided abstract val connectorType: ConnectorType |
supportedResponseConnectorMessageTypes |
The supported connector messages - used to check the authorized messages. open val supportedResponseConnectorMessageTypes: Set<KClass<out ConnectorMessage>> |
check |
Checks the connector configuration. open fun check(connectorConfiguration: ConnectorConfiguration): List<String> |
configuration |
Describes the configuration parameters of the connectorType. open fun configuration(): ConnectorTypeConfiguration |
connector |
Provides a new Connector instance from the specified ConnectorConfiguration. abstract fun connector(connectorConfiguration: ConnectorConfiguration): Connector |
createRequestFilter |
Creates a RequestFilter from the current configuration. open fun createRequestFilter(connectorConfiguration: ConnectorConfiguration): RequestFilter |


Immobiliare.it is Italy's No. 1 in real estate listings. It has been launched in 2007, preceded by eureKasa.it in 2005, with the aim of offering the best platform for publishing and searching for real estate listings. Since its launch, most resources have been invested in the development of the technology able to improve the real estate search experience, now used by millions of Italians every month.
I coordinate the activities of Developer Experience (DX) Team, a team of super specialized collaborators with different technological skills. Our mission is based on research and the creation of tools and standards in order to improve the developer experience, spread technological culture and raise awareness of topics such as: security, quality, innovation and automation. The DX team interprets and facilitates the methods through where developers live and perceive their work every day. The goal of our team is in fact to optimize performance and make the management of activities more agile, with a view to continuously improving the quality of work of fellow developers: they are our end customers. We love Open Source and everything we make follows its principles whether it is released in our GitHub organization or in our internal instance of GitLab.
Technologies/Platforms: php, javascript, node, typescript, sass, react, symfony, next.js, fastify, docker, kubernetes, mysql, memcache, redis, nginx, gitlab, ci/cd, backstage, ansible and terraform.
Tech team site: labs.immobiliare.it
Immobiliare.it is the No. 1 in Italy as the search engine for the real estate, with over 1,2 million real estate ads and more than 40 million visits per month on websites and apps.
I coordinate the activities of a team of super specialized collaborators with different technological skills. Together we make decisions and create software, tools and guidelines that other colleagues then use and apply on all the products of the group. We are mainly oriented towards automation, server side services and quality assurance.
Technologies/Platforms: php, mysql, nginx, symfony, twig, javascript, node, docker, kubernetes, webpack, sass, solr, memcache, redis, gitlab, phpunit, behat, ansible.
Tech team site: labs.immobiliare.it
LuxuryEstate.com is a search engine for the luxury real estate with over 300.000 luxury homes in over 120 countries.
As Lead Developer, I oversee the development of the product, with great attention on how to write maintainable code, high quality and performant. Experiment and find new solutions to boost the business and interact with other departments. I take care of the frontend integration and production releases, I also review the code that gets included into our codebase: thanks to Gitlab and the merge request mechanism, that help developers communicate with each other efficiently assuring personal and team growth.
Technologies/Platforms: php7, mysql, nginx, symfony3, twig, javascript commonjs e amd, node, npm, bower, grunt, webpack, sass, jquery, bootstrap, solr, memcache, git, capistrano, bash.
Tech team site: labs.immobiliare.it
Immobiliare.it is the number 1 in italy as the search engine for the real estate, with over 1.200.000 real estate ads in Italy and Europe.
As web developer, I worked at the front-end team immobiliare.it on many features. I also took care the refactoring of backoffice for the real estate agencies (getrix.it).
Technologies/Platforms: php5.*, javascript commonjs e amd, node, npm, bower, grunt, webpack, sass, jquery, bootstrap, html5, twig, symfony2, git, linting, karma, phantomjs, mochajs and jasmine.
Tech team site: labs.immobiliare.it
Software engineer, analyst, design of relational databases and developer on business management: PHP, MySql, ZendFramework1, Doctrine1, PhpUnit, XHTML, Javascript and CSS.
Web developer on business management with PHP, MySql, HTML, Javascript and CSS.


--- layout: default title: React Redux GraphQL bootcamp in London description: React Redux GraphQL bootcamp in London. Small groups and project-based learning. menu: next-courses url: /react-redux-graphql-bootcamp-london img: https://reactjs.academy/assets/img/london-city-lg.jpeg ---
Discount ticket
Discount ticket finishes on August 5th. Regular ticket costs £1800.
The ticket covers the cost of the training, it does not include the cost of flights or accomodation.
Pay by Installments
For those preferring to pay in installments, contact us and we'll arrange for you to pay in 3 installments with the first being 50% of the total cost and the other to follow over 6 months. The ticket does not cover the cost of flights or accomodation.
ReactJS Academy is Europes longest running dedicated React and Redux training. Established in May 2016, we've trained over 1000 developers across the EU in our private bootcamps and public workshops.
You can read reviews of our workshops in the following Meetup groups which we organise:
{% include meetup-list.html %}We are committed to making the tech industry more accessible and diverse, please contact us directly to find out about discounts and scholarships.


South Korea’s Kang says to discuss wartime issues with Japan
NAGOYA, Japan, Nov 23 — South Korea and Japan will put discussions about their contentious wartime past back on the table, Seoul’s foreign minister said on Saturday, warning that a recent thaw in relations had bought them a little, but not much, time.
Kang Kyung-wha made the comments to a small group of reporters on the sidelines of a Group of 20 (G20) ministers’ meeting in the Japanese city of Nagoya. Kang spoke after meeting with her Japanese counterpart, Toshimitsu Motegi.
“We bought time for intense discussions, but there’s not much time left for us,” Kang told reporters.
On Friday South Korea reversed at the last minute a decision to let an intelligence-sharing pact with Japan expire. Kang hailed that as a breakthrough in relations. — Reuters


Home
Writing
My Playlist
@ImTiffanyYu
Hi, my name is Tiffany. Nice to meet Yu!
My Playlist
Some songs I'm listening to on repeat


2013-07-28
Another Camlistore release! Building on the 0.2 release (Portland), we're happy to release 0.3, codename "Glebe". Glebe, NSW is where Andrew Gerrand and I did much of the hacking for this release, working on the read-write FUSE support.
We welcome feedback, feature requests, bug reports, and code contributions!
Feel free to email us on our mailing list, and/or file a bug (or see existing bugs).
While we welcome user bug reports, we also welcome code contributions. See the Contributing page for details. While most the codebase (the server and command-line tools) are written in Go, there's also a lot of JavaScript which needs love, as well as Java (for Android) and Objective C (for iOS). Or anything useful you'd like to contribute.


null
is assigned to Optional
variable or returned from method returning
Optional
. It's recommended to use Optional.empty()
(or Optional.absent()
for Guava) to denote
an empty value.
Use checkbox below to report also comparisons like optional == null. While in rare cases (e.g. lazily initialized optional field) this might be correct, usually optional variable is never null, and probably optional.isPresent() was intended.
This inspection only reports if the language level of the project or module is 8 or higher
New in 2017.2


{% extends 'base.html' %} {% block head %}
{{posts.body|safe}}
To See posts, you should follow someone


iFriend, a simple website for making friend.
Home
Users
{% for user in user_list %}
{{user.email}}
{% else %}
No users
{% endfor %}


We are a first level hospital, with many certifications and we have a great team of not only doctors to give you the best experience and comfort.
We are a family enterprise 100% mexican. It started working back in 2004 in Zapopan, Jalisco. Today, the group is conformed by five hospitals located in Guadalajara, Tepic, Nayarit and Colima.
We are an institution that brings integral health solutions for all the needs of our patients, putting our medical experience, specialized treatment and personalized tracing.
Click here to learn more about our installations, our equipment, our personnel, and everything extra that you would like to see so you can trust our services.
Send an e-mail to<EMAIL_ADDRESS>Or to our offices: Jalisco 1234563 Nayarit 2332323


Analysis and Visualizations of economic, social or geo data
Development of Machine Learning and Deep Learning models
Development of data products on enterprise level, sales and marketing
About switching to data-driven economy and which products to use
daten sensorium transforms your data in connected information to build knowledge. This is a necessary step for a better understanding of your enterprise, your products or users. Connected information improve the ability for more effective communication and enables you to make better decisions in business. daten sensorium helps you in making sense of raw data to build value based on its information.
Competences of daten sensorium are mostly in the fields of data analysis and visualization. Services spread from infographics up to predictive analytics and scales from small to big data. Your raw data can be processed for statistical analysis, designed for marketing purposes or prepared to enable better decisions. Also predictive or recommendation models can be made based on machine learning techniques.
If you are interested in the user experience of your products, daten sensorium helps you with UX research. Services range from building research plans over carrying out surveys to analyzing results. This should help you to improve continuously your products and services.
If you are curious how daten sensorium can help in making sense of your data, please contact me


Ozymandias
is a short filmic adaption of Percy Bysshe Shelley's poem
of the same name, created using the new filmic medium
"Machinima", in the Lithtech Film
Producer package.
It was scripted and directed by Hugh
Hancock, and filmed by Strange Company, both
as a film in its own right and as a demonstration of Lithtech Film
Producer's potential.


Introduction
Welcome All 😅
Last week I decided that my janky, poorly-formatted Squarespace site wasn’t cutting it, so I rebuilt my internet home base from scratch using Jekyll.
The purpose of this space is for me to both index and show off promote the best of many articles, photos, and apps that I pour my heart and soul into as well as to provide a window into my personality. In the top right of each page, you’ll find links to my social media (don’t hesitate to add me if you enjoy what I have to say 😊) as well as a PDF copy of my resume 📄.
I’m hoping that by maintaining a public presence in this manner, I will be more engaged with content production of all types and more laser-focused on perfecting the quality of the things I choose to spend time on. I don’t take myself super seriously, but I do approach my work in all aspects of my life with the utmost commitment to offering comprehensive and exhaustive solutions and results. You (my readers) are helping me hold myself accountable simply by existing 👏 Thank you.
Much more content to come in the near future, but until then…


Phone Verification
Verify your phone number
Country code:
Phone number :
Verification method
SMS:
Call:
Verify


To start off, we're gonna need a recording of your voice to figure out your mood. To do that,
we'll need permission to access your microphone so hit 'Allow' when the browser asks you. We promise
not to do shady stuff with your voice recordings :)
Awesome! We're ready to get started!
Awww, did you deny access to your microphone? Unfortunately this app can't work without using the microphone so if
you want to use it, press Cmd + Shift + R (or Ctrl + Shift + R for you Windows users) to refresh the page and choose
allow this time.
Alright it's the moment of truth! Hit the button below to start recording and get a custom tailored playlist!
The magical hamsters that run the server think these playlists could be good for your state of mind right now


Don't worry, we got you covered! This is most probably because you did not start the django server.
You can launch a ssh session using vagrant ssh
. Then, navigate to the project folder in /vagrant
and run python manage.py runserver
Don't forget to run python manage.py migrate
before your first run!


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/readable.20subquotients.html ---
So, let me return to my original question.
I've got
definition Spa (A : Huber_pair) : set (Spv A) := Spv.lift (λ v, v.is_continuous ∧ ∀ r, r ∈ A⁺ → v.val.val r ≤ 1) (λ v₁ v₂ heq, sorry) -- fake definition Spa' (A : Huber_pair) : set (Spv A) := {v : Spv A | v.is_continuous ∧ ∀ r, r ∈ A⁺ → v.val.val r ≤ 1} which_is_well_defined (λ v₁ v₂ heq, sorry)
Maybe it is really minor to people who have seen Lean for 367 days in the last year, but I think Spa'
is a lot more readable than Spa
.
Of course any mathematician who takes a first look is already brain-blocked by set (Spv A)
, which means "subset" instead of "set". But never mind...
Can't you put the work into the definition of v.is_continuous
?
I'm not sure if that would help. Or do you mean that you want to define Spa
as intersection of two subsets? Namely Cont
and the other condition.
Still feels like moving the problem around...
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


--- layout: post title: Another tankadin video tags: - 5 man - 5-man - class - dungeon - instance - nexus - paladin - tankadin - tanking - video - wow - wrath of the lich king status: publish type: post published: true meta: _aktt_hash_meta: '' _edit_last: '1' aktt_notify_twitter: 'yes' aktt_tweeted: '1' _wp_old_slug: '' --- A few bad pulls, a few good ones. BubbleUc in action.
Nexus - 5 man run from Greg Stewart on Vimeo.
The movie was recorded on my Mac on the 2010-06-21 and features Bubbleuc - my tankadin.


Toggle navigation
LCD Control Page
Home
About
Turn LCD ON
Turn LCD OFF
Clear LCD
Clear Text
Show More Lines
Send Message


Search Here For Help in Your Area
Words words words words. Words words words words. Words words words words. Words words words words. Words words words words. Words words words words.
More InfoWords words words words. Words words words words. Words words words words. Words words words words. Words words words words. Words words words words.
More InfoWords words words words. Words words words words. Words words words words. Words words words words. Words words words words. Words words words words.
More Info


Honours Specialization in Computer Science with a minor in Software Engineering
Github
Resume
Flickr
LinkedIn


I am a second year student who actively studying backend and game development in parallel with my studies at the university. I plan to apply for the position of a junior developer in the field of game development based on the Unity Engine. I am actively developing and improving myself as much as possible in order to be useful and I was not ashamed of the work done.
About Me
Skills
- C# .Net Core 3
- Unity Engine
- Python 3
- HTML, CSS (Sass)
- JavaScript (TypeScript)
- Git, GitHub
- Docker
- PostgreSQL, MongoDB
- NodeJS/Express
- Gulp, Webpack, eslint
- C/C++
- Photoshop, Illustrator
- Microsoft Office
- Soft Skills
Education
Taras Shevchenko National University of Kyiv
Faculty of Information Technologies
Network and Internet Technologies (2019-2024)
Personal projects
SAIF Factory
Semi-artificial bots farm based on genetic algorithms
SnakeIO
Hybrid of classic snake game and popular AgarIO game


About
Vishruth Harithsa is an Entrepreneur and Tech Aficionado. He is the Co-Founder and Chief Technology officer of InspiredMemories LLP, and has been dedicated to growing the company’s products and services.
Additionally He is a Former member of IEEE Computer Society India Council and worked as a Student Developer at Microsoft in his education days. Vishruth earned his graduation in Information Science Engineering from Visheshwaraya Technological University, Belgaum. Being in the field of technology,
he also love to read articles and write them in his blog at free times. Vishruth loves to mentor the people who needs technical skills.
Before being named as a CTO in June 2016, Vishruth held technical roles in both education and creative businesses across places.
Founding InspiredMemories in 2016 with Spoorthi, he became known as a tech leader who could unlock the infinite levels of technology and businesses to transform world’s biggest problems into Innovation.
Fields
Web Technologies
Running around the places to learn about Web Technologies has been fun from him and creating web apps that works is his hobby and turnaround
Android Technology
Mobile Application Development is the key factor where we are working on real time products. He is handling all those things with superior attributes.
Technical Administration
Being in chief level it is necessary to concentrate on managing technical team so he plays an important role in deciding how project goes and how it shapes up using approved documentation. Leading team to complete the projects parallelly without any hassle.
Project Experiences
Building Applications for Clients
Across Globe
Adopted DevOps
Helped the team to build web apps that served to clients across the places. Mastering in HTML5 and working with Android Studio made the work simpler and easier. This took company to next level and helped to plan its product development.
Creating a product business plan
Technology Research
Company Business Development
On the way of building product, It requires lot of technical skills that can pull the development tasks to acompolishment so helped in recruiting technically skilled people so that company can work on their product development better. He worked hard for the development of company's technical stamina and been a leader in building the team that never gives up.


How set the default hosting fee for child sites in this DNN installation. The cost of hosting is set as a fee for Megabyte space, page quota or user quota. For example, if hosting is allocated by Megabytes the available hosting space is checked whenever a file is uploaded to the site's Digital Asset Management module which is located on the Admin > File Management page. If sufficient space is available, the files are successfully loaded. If there is insufficient space, the Administrator receives a message to contact their hosting provider to purchase additional space. Likewise, the same message is displayed when the Administrator attempts to add more pages or user accounts than allocated. Where more than one option is set, hosting is restricted when the first option reached. Note: Host settings can be modified for individual sites via the Host > Site Management page.


Replica Rest API
Replica Rest API¶
Overview
Resource |
Operation |
Description |
|---|---|---|
BadPFNs |
Declare bad replicas. |
|
BadReplicasStates |
List bad replicas. |
|
Declare bad replicas. |
||
BadReplicasSummary |
List bad replicas by incident. |
|
DatasetReplicas |
List replicas for multiple DIDs. |
|
List dataset replicas. |
||
Replicas |
List replicas for multiple DIDs. |
|
List replicas for DID. |
||
create replicas at RSE |
||
Delete replica at RSE. |
||
update replicas state. |
||
ReplicasDIDs |
List DIDs for replicas. |
|
ReplicasRSE |
List dataset replicas per RSE. |
|
SuspiciousReplicas |
Declare suspicious replicas. |
|
Tombstone |
Set a tombstone on a list of replicas. |
Details
-
GET
/replicas/bad/summary
¶ Return a summary of the bad replicas by incident.
- Query Parameters
rse_expression – The RSE expression.
from_date – The start date.
to_date – The end date.
- Response Headers
Content-Type – application/x-json-stream
- Status Codes
200 OK – OK.
401 Unauthorized – Invalid auth token.
406 Not Acceptable – Not Acceptable.
500 Internal Server Error – Internal Error.
- Returns
List of bad replicas by incident.
-
GET
/replicas/bad/states
¶ List the bad or suspicious replicas by states.
- Query Parameters
state – The state of the file (SUSPICIOUS or BAD).
rse – The RSE name.
younger_than – date in format “%Y-%m-%dT%H:%M:%S.%f” to select bad replicas younger than this date.
older_than – date in format “%Y-%m-%dT%H:%M:%S.%f” to select bad replicas older than this date.
limit – The maximum number of replicas returned.
list_pfns – Flag to include pfns.
- Response Headers
Content-Type – application/x-json-stream
- Status Codes
200 OK – OK.
401 Unauthorized – Invalid auth token.
406 Not Acceptable – Not Acceptable.
500 Internal Server Error – Internal Error.
- Returns
List of dicts of bad file replicas.
-
POST
/replicas/bad/pfns
¶ Declare a list of bad PFNs.
- Request JSON Object
pfns (string) – The list of PFNs.
reason (string) – The reason of the loss.
state (string) – The state is eiher BAD, SUSPICIOUS or TEMPORARY_UNAVAILABLE.
expires_at (string) – The expiration date. Only apply to TEMPORARY_UNAVAILABLE.
- Response Headers
Content-Type – application/x-json-string
- Status Codes
201 Created – Created.
400 Bad Request – Cannot decode json parameter list.
401 Unauthorized – Invalid auth token.
404 Not Found – Replica not found.
500 Internal Server Error – Internal Error.
- Returns
A list of not successfully declared files.
-
POST
/replicas/datasets_bulk
¶ List dataset replicas for multiple DIDs.
- Request JSON Object
dids (list) – List of DIDs for querying the datasets.
- Response Headers
Content-Type – application/x-json-stream
- Status Codes
200 OK – OK.
400 Bad Request – Bad Request.
401 Unauthorized – Invalid auth token.
406 Not Acceptable – Not Acceptable.
500 Internal Server Error – Internal Error.
- Returns
A dictionary containing all replicas information.
-
POST
/replicas/suspicious
¶ Declare a list of suspicious replicas.
- Request JSON Object
pfns (string) – The list of PFNs.
reason (string) – The reason of the loss.
- Response Headers
Content-Type – application/json
- Status Codes
201 Created – Created.
400 Bad Request – Cannot decode json parameter list.
401 Unauthorized – Invalid auth token.
404 Not Found – Replica not found.
500 Internal Server Error – Internal Error.
- Returns
A list of not successfully declared files.
-
POST
/replicas/tombstone
¶ Set a tombstone on a list of replicas.
- Request JSON Object
replicas (string) – list fo replicas
- Response Headers
Content-Type – application/x-json-string
- Status Codes
201 Created – Created.
401 Unauthorized – Invalid auth token.
404 Not Found – ReplicaNotFound.
500 Internal Server Error – Internal Error.
-
POST
/replicas/list
¶ List all replicas for data identifiers.
- Request Headers
HTTP_ACCEPT – application/metalink4+xml
- Query Parameters
schemes – A list of schemes to filter the replicas.
sort – Requested sorting of the result, e.g., ‘geoip’, ‘closeness’, ‘dynamic’, ‘ranking’.
- Request JSON Object
dids (list) – list of DIDs.
schemes (list) – A list of schemes to filter the replicas.
unavailable (bool) – Also include unavailable replicas.
all_states (bool) – Return all replicas whatever state they are in. Adds an extra ‘states’ entry in the result dictionary.
rse_expression (string) – The RSE expression to restrict on a list of RSEs.
client_location (dict) – Client location dictionary for PFN modification {‘ip’, ‘fqdn’, ‘site’}.
sort (bool) – Requested sorting of the result, e.g., ‘geoip’, ‘closeness’, ‘dynamic’, ‘ranking’.
domain (string) – The network domain for the call, either None, ‘wan’ or ‘lan’. None is fallback to ‘wan’, ‘all’ is both [‘lan’,’wan’]
- Response Headers
Content-Type – application/x-json-stream
Content-Type – application/metalink4+xml
- Status Codes
200 OK – OK.
400 Bad Request – Cannot decode json parameter list.
401 Unauthorized – Invalid auth token.
404 Not Found – DID not found.
406 Not Acceptable – Not Acceptable.
500 Internal Server Error – Internal Error.
- Returns
A dictionary containing all replicas information.
- Returns
A metalink description of replicas if metalink(4)+xml is specified in Accept:
-
POST
/replicas/dids
¶ List the DIDs associated to a list of replicas.
- Request JSON Object
pfns (string) – The list of PFNs.
rse (string) – The RSE name.
- Response Headers
Content-Type – application/x-json-string
- Status Codes
200 OK – OK.
400 Bad Request – Cannot decode json parameter list.
406 Not Acceptable – Not Acceptable.
500 Internal Server Error – Internal Error.
- Returns
A list of dictionaries containing the mapping PFNs to DIDs.
-
POST
/replicas/bad
¶ Declare a list of bad replicas.
- Request JSON Object
pfns (string) – The list of PFNs.
reason (string) – The reason of the loss.
- Response Headers
Content-Type – application/json
- Status Codes
201 Created – Created.
400 Bad Request – Cannot decode json parameter list.
401 Unauthorized – Invalid auth token.
404 Not Found – RSE not found.
404 Not Found – Replica not found.
500 Internal Server Error – Internal Error.
- Returns
A list of not successfully declared files.
-
GET
/replicas/
(path: scope_name)¶ List all replicas for data identifiers.
- HTTP Success:
200 OK
- HTTP Error:
401 Unauthorized 500 InternalError
- Request Headers
HTTP_ACCEPT – application/metalink4+xml
- Parameters
scope_name – data identifier (scope)/(name).
- Response Headers
Content-Type – application/x-json-stream
Content-Type – application/metalink4+xml
- Status Codes
200 OK – OK.
401 Unauthorized – Invalid auth token.
404 Not Found – DID not found.
406 Not Acceptable – Not Acceptable.
500 Internal Server Error – Internal Error.
- Returns
A dictionary containing all replicas information.
- Returns
A metalink description of replicas if metalink(4)+xml is specified in Accept:
-
POST
/replicas/
¶ Create file replicas at a given RSE.
- Request JSON Object
rse (string) – The RSE name.
files (list) – list of dicts with ‘scope’, ‘name’, ‘bytes’, ‘meta’ and ‘adler32’.
ignore_availability (bool) – Flag to ignore the RSE blacklisting.
- Status Codes
201 Created – Replica Successfully created.
400 Bad Request – Invalid Path.
401 Unauthorized – Invalid auth token.
404 Not Found – RSE not found.
404 Not Found – Scope not found.
409 Conflict – Replica already exists.
409 Conflict – DID already exists.
503 Service Unavailable – Resource Temporary Unavailable.
-
DELETE
/replicas/
¶ Delete file replicas at a given RSE.
- Request JSON Object
rse (string) – The RSE name.
files (list) – list of dicts with ‘scope’, ‘name’.
ignore_availability (bool) – Flag to ignore the RSE blacklisting.
- Status Codes
200 OK – Replica successfully deleted.
400 Bad Request – Cannot decode json parameter list.
401 Unauthorized – Invalid auth token.
404 Not Found – RSE not found.
404 Not Found – Replica not found.
500 Internal Server Error – Internal Error.
-
PUT
/replicas/
¶ Update a file replicas state at a given RSE.
- Request JSON Object
rse (string) – The RSE name.
files (list) – list of dicts with ‘scope’, ‘name’ and ‘state’.
- Status Codes
201 Created – Replica successfully updated.
400 Bad Request – Cannot decode json parameter list.
401 Unauthorized – Invalid auth token.
500 Internal Server Error – Internal Error.
-
GET
/replicas/rse/
(rse)¶ List dataset replicas per RSE.
- Response Headers
Content-Type – application/x-json-stream
- Status Codes
200 OK – OK.
401 Unauthorized – Invalid auth token.
406 Not Acceptable – Not Acceptable.
500 Internal Server Error – Internal Error.
- Returns
A dictionary containing all replicas on the RSE.
-
GET
/replicas/
(path: scope_name)/datasets
¶ List dataset replicas.
- Parameters
scope_name – data identifier (scope)/(name).
- Query Parameters
deep – Flag to ennable lookup at the file level.
- Response Headers
Content-Type – application/x-json-stream
- Status Codes
200 OK – OK.
401 Unauthorized – Invalid auth token.
406 Not Acceptable – Not Acceptable.
500 Internal Server Error – Internal Error.
- Returns
A dictionary containing all replicas information.


Since Attention mechanism was proposed, the seq2seq model with attention has been improved in each task, so the current seq2seq model usually refers to the model combining RNN and Attention. The specific models can refer to previous posts. After then, Google proposed a transformer model to solve the seq2seq problem, replacing the LSTM with a full attention structure and achieved better results in the translation task. This post will focus on Attention is All You Need.
Same as most seq2seq model, transformer also consists of Encoder and Decoder.
Encoder consists of N = 6 identical layers. The layer refers to the unit on the left side of the model figure. There is an Nx on the left, here is *6. Each layer consists of two sub-layers: a multi-head self-attention mechanism and a fully connected feed-forward network. Each sub-layer adds a backup connection and normalization, so the output of the sub-layer can be expressed as:
The major component in the transformer is the unit of multi-head self-attention mechanism. The transformer views the encoded representation of the input as a set of key-value pairs, (K, V), both of dimension n (input sequence length); in the previous output is compressed into a query (Q of dimension m) and the next output is produced by mapping this query and the set of keys and values.
Attention can be expressed as:
Multi-head attention is the project Q, K V through h different linear transformations, and finally splicing different attention results:
In self-attention, Q, K, V are set same.
In the paper, they use scaled dot-product to calculate attention:
The structure of Decoder and Encoder are similar, but there is an additional sub-layer of attention. Here we first define the input, output and decoding process of the Decoder:
In addition to the Encode and Decoder, there are also data preprocessing parts. Transformer discards RNN, while the biggest advantage of RNN is the abstraction of data in time series. Hence, the author proposes two methods of Positional Encoding, which sums the encoded data with the embedding data with relative position information.
They both give the same results, so we list first method as follows:
We can summarize the full architecture as follows:


Use Remote Rush to find your next remote employer!
Employees:
Revenue:
{% if companies.length == 0 %}
No companies so far. Wanna be the first?
{% endif %}
{% if companies.length > 0 %}
{% for company in companies %}
{{ macros.renderCompanyRow(ctx, company, '/') }}
{% endfor %}
{% endif %}


Before Change
// Log the output path, if possible
if verbose:
if isinstance(outfile, basestring):
outfname = outfile
elif hasattr(outfile, "name") and outfile not in (sys.stdout,
sys.stderr):
outfname = outfile.name
else:
// Probably stdout or stderr -- don"t ruin the pipeline
return
logging.info("Wrote %s", outfname)
def get_filename(infile):
After Change
// Log the output path, if possible (but don"t contaminate stdout)
if verbose:
outfname = get_filename(outfile)
if outfname:
logging.info("Wrote %s", outfname)
def get_filename(infile):
if isinstance(infile, basestring):
return infile
if hasattr(infile, "name") and infile not in (sys.stdout, sys.stderr):


the biggest and most influential media organization in China, as well as the largest news agency in the world in terms of correspondents worldwide.
Go to Xinhua News Agencya partially state-owned Chinese manufacturer and supplier of video surveillance equipment for civilian and military purposes, headquartered in Hangzhou, China.
Go to Hikvisiona partially state-owned Chinese information technology company established in 1999.It creates voice recognition software and 10+ voice-based internet/mobile products covering education, communication, music, intelligent toys industries.
Go to iFlyteka stationery company headquartered in the Guangming Economic Zone in Fengxian District, Shanghai.
Go to M&G Stationeryan index (or measure) of the value of the United States dollar relative to a basket of foreign currencies, often referred to as a basket of U.S. trade partners' currencies.
Go to U.S. Dollar Indexthe official currency of the United Kingdom, Jersey, Guernsey, etc. The Pound sterling is the oldest currency in continuous use.
Go to Pound sterlingthe most popular as an investment of all the precious metals. Investors generally buy gold as a way of diversifying risk, especially through the use of futures contracts and derivatives.
Go to Goldhas been regarded as a form of money and store of value for more than 4,000 years, although it lost its role as legal tender in developed countries when the use of the silver standard came to a final end in 1935.
Go to silverare mainly driven by supply and demand fundamentals. However, natural gas prices may also be linked to the price of crude oil and petroleum products, especially in continental Europe.
Go to Natural gasa species of legume native to East Asia, widely grown for its edible bean, which has numerous uses.
Go to Soybean


Get Timetable Data Automatically
Caution: This feature is almost certainly broken in many serious ways. If you are using this to make real
decisions please make sure you check the data that this tool generates before using it.
How to use this tool:
- Go to UON's timetabling search tool
- Select ONE course to view and click View Timetable
- In the timetable grid view (not the visual schedule view) right click and click View Page Source
- Select all (CTRL + a) and copy (CTRL + c)
- Paste into the text field below and submit.
- Be sure to check that the data is correct before using the timetable.


Figure 1: Invariant mass distributions (no data table provided).
Figure 2: pT spectra of eta mesons in Au+Au and p+p collisions.
Figure 3: Nuclear modification factors in Au+Au collisions
Figure 4: Nuclear modification factors of pi0 and eta in minimum bias Au+Au collisions
Figure 5: Parameters of linear fot to nuclear modification factors.
Figure 6: Chi-square contour plot (no data table provided).


| S | stats toolbox needed | I | interactive (user input required) |
| B | bioinformatics toolbox needed | M | matlab needed (will not work in octave) |
| O | optimization toolbox needed | W | windows needed (will not work in linux) |
| X | currently broken | * | slow (two stars indicates very slow) |
| FILE | DESCRIPTION | TAGS |
|---|---|---|
| discreteCreate | Create a discrete distribution | |
| discreteFit | Fit a discrete distribution, or if X is a matrix, a product of discrete distributions | |
| discreteLogprob | Compute the log probability of the data. X must be in 1:K. | |
| discreteSample | Sample from a discrete distribution | |
| sub\discreteLogprobMissingData | Same as discreteLogprob, except X may have NaNs | |
| sub\sampleDiscrete | Like the built in 'rand', except we draw from a non-uniform discrete distrib |


No. 15 Utah State rallies from 19-point deficit to beat LSU
MONTEGO BAY, Jamaica (AP) - Sam Merrill made a go-ahead 3-pointer with 57 seconds left and No. 15 Utah State overcame a 19-point deficit in the second half to beat LSU 80-78 on Friday night at the Jamaica Classic.
Down 54-35 with 16:32 remaining, Utah State (6-0) chipped away by making its first five 3-pointers of the second half. Alphonso Anderson’s 3 cut it to 71-67.
Anderson missed a 3-pointer with 13 seconds left, and LSU grabbed the defensive rebound, but Skylar Mays had it poked away and the Aggies passed it around to run out the clock. LSU had 11 second-half turnovers.
Merrill and Anderson each scored 24 points. Merrill, the Mountain West player of the year last season, was 5 of 9 from 3-point range, made 9 of 10 free throws and had eight assists. Justin Bean had 14 points and 12 rebounds, and Diogo Brito scored 12 points.
Mays scored a career-high 30 points for LSU (3-2). He was 10-of-13 shooting with five 3-pointers. Darius Days and Emmitt Williams each scored 14 points.
LSU shot 47% from the field, snapping Utah State’s run of holding its last four opponents to less than 40%.
LSU made six 3-pionters in the first 8 minutes, using a 14-2 run to build an early 28-13 lead. The Tigers finished the half 9 of 18 from distance and shot 52% overall. Days led the way for LSU with 14 points to help build a 44-30 lead.
Utah State’s starters were held to 14 points in the first half, but Anderson kept them within reach with nine points off the bench, including a tip-in at the buzzer.
BIG PICTURE
Utah State: The Aggies improved to 62-18 as an AP-ranked team after extending their run to six straight games with 80-plus points. USU’s ranking is the highest for the program since the 1970-71 season when it was as high as No. 9.
LSU: The Tigers barely missed out again on an opportunity to pad their resume with a nonconference win against a ranked opponent. They lost 84-82 at then-No. 23 VCU on Nov. 13. Just like against the Aggies, LSU had an opportunity to tie or go ahead in the final seconds, but Mays turned it over to the Rams with one second left.
UP NEXT
Utah State will play North Texas on Sunday.
LSU will play Rhode Island on Sunday.
More AP college basketball: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


DICK Coin is a project initiated with the aim to put a smile on peoples faces.
DICK Coin was publicly launched on May 11, 2021 (No Initial Coin Offering).
Now you can send DICK(s) to that special someone in your life.
Our official website is http://www.dick-coin.com/ and you can join the Telegram chanel here: https://t.me/joinchat/yd5_b0ymTTdjNGQ0.
We'll announce where to buy DICK from here ASAP. We'll try to list it on PancakeSwap and other similar exchanges.


Welcome to Prizza Prizza
Why not order a pizza already? What are you, scared or something?
Choose size
Small
($10.50)
Medium
($14.50)
Large
$19.50
Extra Large
$23.50
Choose toppings ($0.50 each)
Pepperoni
Cheese
Mushrooms
Olives
Green Peppers
Tomatoes
Pineapple
Canadian Bacon
Pepperocinis
Roasted Garlic
Anchovies
Another Pizza
Add Pizza
Your Pizzas:


© 2020 (CC BY) Gerd Wagner, Brandenburg University of Technology, Germany.
A pizza service company takes orders for making pizzas.
You can inspect the model's OESjs code on the OES GitHub repo.
...
Notice how functions representing random variables, like the duration
function of all activity types, are marked with the keyword (or UML
'stereotype') «rv» standing for "random variable". These random variable
functions sample from a probability distribution function (PDF), which is
symbolically indicated with expressions like U(1,2) standing
for the uniform PDF with lower and upper bounds 1 and 2.
A process design model, in the form of a DPMN process diagram as shown below, is derived from a conceptual process model by abstracting away from items that are not design-relevant and possibly adding certain computational details.