Event Location:
Microsoft
1125 Sanctuary Parkway
Alpharetta, Georgia
Abstract:
Ever feel like you are just doing busy work while creating new SSIS packages? Feel like you are doing the same thing over and over while changing the names to protect the innocent? Ever wonder if there is a better way? Well wonder no more. Come learn about the magical world of BIML and how it can help transform your environment by increasing your productivity while reducing the possibility of errors. Come with intrigue and leave with a fundamental understanding of BIML!
Speaker(s): Jonathan Stewart,
Abstract:
SQL Server Reporting Services received many upgrades with the 2016 release. One of the most notible is the new Mobile Report Publisher. This tool allows you to easily create dashboards displayable on multiple platforms including web pages, tablets, and phones. In this sesson you'll see how to generate datasets, create and configure reports, then see them run in a web browser as well as on an iPad and iPhone.
Speaker(s): Robert Cain,
Abstract:
We have more information available to us today than ever before. So much so that we run the risk of not being able to tell concise stories. There's a lot more to creating that story than just getting the correct information. Come learn not just the do's and don'ts, but the whys…
Speaker(s): Jonathan Stewart,
Abstract:
For those of us coming from a SQL background It's easy to get intimidated by DAX. It's a weird language meant to appeal to Excel people while also mimicking much of the functionality of MDX. This session will cover the topics that will make you productive immediately with DAX. Those topics are 1) Calculated Columns v. Measures, 2) Implicit vs. Explicit Measures, 3) the CALCULATE function, 4) Time Intelligence, 5) CUBEVALUE. This is truly the 20% of DAX that will make you productive in 80% of situations. We're going to start with a working data model and start building calculations right away - bring your laptop.
Speaker(s): Austin Senseman,
Abstract:
Business Intelligence Markup Language (Biml) automates your BI patterns and eliminates the manual repetition that consumes most of your SSIS development time. During this hour long presentation, Scott Currie from Varigence will use the free BIDSHelper add-in for BIDS and SSDT to introduce Biml and use to automatically generate large quantities of custom SSIS packages. The session will be largely demonstration driven, and reusable sample code will be distributed for you to use in your own projects. Using a live-typing approach, Scott will start from scratch and by the end of the session create a full-blown staging environment. This will include the creation of *hundreds* of target table creation scripts, data load packages, data scrubbing rules, logging, and more. The best part is that you can freely reuse the code in your own environment just by changing the connection strings - or make small changes to implement your own data load patterns.
Speaker(s): Scott Currie,
Abstract:
In today's world, data is omnipresent and most organizations are presented with billions of data points every morning. Good analysis parses these numerical outputs into an understanding of the organization or process. In short, it “humanizes” the data by turning raw numbers into a story about the performance. The challenge is to interpret these stories correctly and for that, we need the help of data visualization tools like Microsoft Power BI. Join me as I take you through on how to utilize Power BI effectively to tell data stories and engage your audience. Watch and learn some of the top techniques and hacks on making aesthetic as well as relevant Power BI reports for effective storytelling. Also, watch out for some engaging examples of storytelling using Power BI (which also includes the winning report of the Microsoft Power BI Best Report contest!)
Speaker(s): Jason Thomas,
Abstract:
Many organizations are interested in the cost savings, ease of maintenance, and other benefits of hosting data solutions on Microsoft Azure. For most, moving to the cloud is easier said than done, especially when they have a large existing solution that is being actively used by stakeholders. In this session, we will examine various strategies for incrementally moving your solution to the cloud. This will include strategies that incorporate the use of: 1) New value-added features and services, such as machine learning and big data 2) Hybrid approaches where portions of your existing solutions can be moved to the cloud without requiring everything to be moved 3) Failover and surge approaches that enable the cloud to supplement on premises resources 4) and much more Business Intelligence Markup Language (Biml) will be central to our approach, enabling the rapid movement of assets back and forth between on premises and cloud hosting. All code will be shared with attendees.
Speaker(s): Scott Currie,
Abstract:
R is a very powerful statistical programming language that has been gaining a lot of traction in recent years. In early 2015 Microsoft acquired Revolution Analytics, a major provider of software and services for R. Microsoft have since incorporated R in Azure ML, SQL Server 2016, and Power BI. In this session I will focus on the benefits of using R in Power BI. I will show how to leverage R for data munging and I will also show how to leverage R to create custom visualizations. I will focus on the quot;Wickham stackquot; which is a group of very popular R packages developed by Hadley Wickham. I will discuss logical use cases for using R within Power BI as well as some of the pitfalls that you may encounter.
Speaker(s): Ryan Wade,
Abstract:
Perhaps you’ve heard the buzz about Business Intelligence Markup Language (Biml) and wondered, “Why is everyone so excited about Biml?” Occasionally, a new technology emerges that changes everything. For SSIS developers, Biml is one such technology. Biml is a powerful solution for rapidly creating SSIS packages and solutions. SSIS Design Patterns support various load profiles. Combined, Biml and SSIS Design Patterns offer a compelling solution for automating enterprise data integration. In this session, you will learn: - How to rapidly build multiple SSIS packages using Biml - How to apply different SSIS Design Patterns using Biml - How to automate SSIS Design Patterns using Biml
Speaker(s): Andy Leonard,
Abstract:
One of the most exciting new features of SQL Server 2016 is the integration of the R statistical programming language into the platform with the brand-new SQL Server R Services. In this introductory session we'll briefly introduce the R language and then look at how to install and administer SQL Server R Services. We'll start to demonstrate the power of R by showing you how to create and run simple R 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 R to integrate data analytical methods in real-world situations, and wow your customers with the power of statistics!
Speaker(s): Chris Hyde,
Abstract:
Have you been wondering what Azure SQL Database is and what it means for you as a production DBA? Azure SQL Database has become an Enterprise-worthy database platform that provides relational database-as-a-service. In this session you’ll get a grounding in the fundamentals of Azure SQL Database from a DBA perspective. First we’ll cover how to create an Azure SQL Database using the Azure Portal and an approach for sizing a new Azure SQL Database. Then we’ll cover some of the similarities and differences between on premises SQL Server and Azure SQL Database. Finally we will cover how monitoring and performance tuning Azure SQL Database differs from on premises SQL Server. If you’ve been considering Azure SQL Database for your organization, this session is for you!
Speaker(s): Tim Radney,
Abstract:
As companies become more familiar with Power BI, some have begun experimenting with it on production settings. Some, though, are confused as to how to properly deploy this powerful tool: Who should own Power BI as a solution within the organization? Who is responsible for what? Is this tool for the business or for I.T.? Can we look at it as a reporting tool or is it that plus something else? This session will present a practical guide for implementing Power BI at your organization to maximize success and adoption. It will present technical and non-technical details to ensure your Power BI deployment is as successful as possible.
Speaker(s): Javier Guillen,
Abstract:
With the introduction of the SSIS Catalog in SQL Server 2012, we can now manage our SSIS package execution and monitor performance and logs in a much easier manner than executing packages from the file system. In this session, we'll walk through setting permissions for SSIS read-only access, executing packages from T-SQL or stored procedures, viewing the logs generated during a package execution, writing custom messages to the logs, and many other tips to make your use of the catalog easier!
Speaker(s): Jonathan Buller,
Abstract:
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips
Speaker(s): Vishal Pawar,
Abstract:
This session will focus on the brand new SQL Server 2016 feature called PolyBase. PolyBase#160;is a technology that accesses and combines both non-relational and relational data, all from within SQL Server. It allows you to run queries on external data in Hadoop or Azure blob storage. The queries are optimized to push computation to Hadoop. In this session, you will learn how to install and set up PolyBase, and how to use it once you've got it configured.
Speaker(s): Sean Werick,
Abstract:
Most Analysis Services (SSAS) cubes use an MDX script where additional calculations beyond the basic physical calculations are defined. In this session you will learn about adding calculated measures to the cube using the cube's MDX script. Then you will learn about Scope statements, how to use them to implement conditional logic, and how they affect physical and calculated measures differently. Finally you will see some examples of time intelligence functions such as YearToDate and MonthToDate implemented using Scope statements. The session is for those who are familiar with SSAS and have had some exposure to MDX syntax and concepts.
Speaker(s): Shabnam Watson,
Abstract:
When starting on a new data project, the first step is usually to interview stakeholders and subject matter experts who list the many assumptions that they have been making about the data in the organization. Unfortunately, these assumptions are rarely 100% true which can cause a significant amount of troubleshooting and bug fixing later in the development process. In this session, we will build a general purpose solution to this problem. Starting from a list of assumptions encoded in an Excel workbook, a collection of SQL statements to test the assumptions are automatically generated. The results of these statements are visualized using PowerBI to create a completely interactive analysis tool to validate assumptions, and diagnose the assumption violations when they are encountered. Even better, a solution to automate and orchestrate this entire process using SSIS and Biml will also be presented. All code for the solution will be provide to attendees for free use in their projects.
Speaker(s): Scott Currie,
Abstract:
You might have heard about the benefits of using Biml or other automation approaches to build your own metadata-driven reusable data warehouse and BI framework. What if you don't have the time to build your own framework, and would rather customize an existing framework? Enter, BimlFlex. BimlFlex is built with the power of Biml and metadata-driven automation while employing the best and most commonly used modelling philosophies (Kimball, Inmon, DataVault). BimlFlex was created in collaboration with Biml experts and offers full transparency to users at every opportunity. Whether using traditional or modern data warehouse architecture, BimlFlex has you covered. With BimlFlex, requirements are entered into Microsoft Excel enhanced by our BimlFlex Add-in and then stored in a machine-readable metadata database. The BimlFlex code uses this metadata to automate the creation of all your data assets, transformations, and documentation. Learn more about BimlFlex while you enjoy lunch!
Speaker(s): Scott Currie,
Abstract:
R is a very powerful statistical programming language that has been gaining a lot of traction in recent years. In early 2015 Microsoft acquired Revolution Analytics, a major provider of software and services for R. Microsoft have since incorporated R in Azure ML, SQL Server 2016, and Power BI. There are 3 ways you can leverage R in Power BI. You can use it as a data source, you can leverage it in Power Query, or you can use it to create custom visualizations. In this session I present easy to follow examples of those 3 scenarios. I will also provide resources that will enable you to take what you learned to the next level.
Speaker(s): Ryan Wade,
Abstract:
SQL Server Analysis Services can be very intimidating to some people, especially if you have never designed a Semantic model (formally known as a cube). Join me in this demo-only session where I will show you how to quickly build your first Semantic model in less than 60 minutes. In addition, I will provide you with some best practices and show you how to enable your end-users to leverage the model to build their own reports using Power BI.
Speaker(s): Patrick LeBlanc,
Abstract:
Join me to go under the hood with a Power BI deep dive. Where I will discuss two Hybrid Scenarios for Power BI. I will explore the data refresh capabilities, allowing reports published to Power BI to connect to varying data sources for data refresh. I will also discuss exciting new capabilities that allows Power BI to connect directly to SQL Server Analysis Services on-premises and interactively query. Allowing customers to keep and manage data on-premises without the need to move their data to the cloud.
Speaker(s): Patrick LeBlanc,
Abstract:
Microsoft provides several technologies in and around Azure which can be used for casual to serious data science. This presentation provides an overview of the major Microsoft options for both on-premise and cloud-based data science (and hybrid). These technologies have been used by the presenter in various companies and industries, both as a Microsoft consultant and previously independent consultant. As well, the speaker provides insights into data science careers, information which helps imply where the business will likely be for consultants and partners. Bring your beginner to advanced questions!
Speaker(s): Mark Tabladillo,
Abstract:
Data Science, Azure Machine Learning, and Analytics are all becoming core pieces to the success of every business. As data professionals we need to know how these will affect what we do, and how we can use it to help our business and clients. In this session we will take a look at these hot topics and learn how it helps us turn data into intelligence that will lead to actions that drive profits. We will take a look at how Microsoft’s Cortana suite is the central hub for learning and implementing each of these core pieces.
Speaker(s): Melody Zacharias,
Abstract:
Microsoft has recently streamlined the certification process and this session focuses on what you need to know to get Microsoft Certified on SQL Server. The session is led by an expert Microsoft Certified Trainer (MCT) who regularly teaches the SQL Server certification courses. The presenter walks you through the certifications, exams, and resources available to get you ready for success.
Speaker(s): John Deardurff,
Abstract:
PowerShell is always something you heard about and wanted to use but never did! Starting with the resources available for a PowerShell newbie, we will advance to what pro's use to automate their database activities and beyond, for both DBA's and developers. The goal of this session is to get you immersed in PowerShell. Ask questions and learn how PowerShell can enable you and more importantly do your job for you (the way, future is heading). We will also look at free libraries and tools to help you advance your automation abilities. Common automation scenarios is the theme! Anything done with with clicks can be automated.
Speaker(s): Jana Sattainathan,
Abstract:
Take an introductory journey into the world of SSIS through the eyes of a SQL Server DBA as he navigates the Business Intelligence waters. This is an introductory course for beginners or users without any SSIS experience. Come learn how to SSIS with me!
Speaker(s): Ed Watson,
Abstract:
In this session we will review sensible techniques that make a big difference in your data warehousing, business intelligence, and analytics environments. Lessons learned and strategies from prior projects will be shared. Attendee participation is encouraged as we discuss design principles, conventions, and reusability while dealing with infrastructure which grows increasingly complex.
Speaker(s): Melissa Coates,
Abstract:
How much Azure can you Azure? How many cloud can you cloud? Hear the lessons learned from an attempt at an “All Azure” BI Project. We’ll explore Azure SQL Database, Azure Data Factory and Power BI as pieces of the solution and learn where On Prem had to be used to fill in the gaps in the solution.
Speaker(s): Julie Smith,
Abstract:
In this session we will Learn R through an Example. We will Extracting Data from Multiple Excel sheets, transforming the data, Visualizing the data and Loading it into SQL Server Table.
Speaker(s): Kiran Math,
Abstract:
In this session, we will be demonstrating how to leverage the SSISDB to change SSIS Package parameters at runtime using just T-SQL. This strategy makes it easier when deploying packages to both QA and production since things like connection strings, file names, and destination table names can change based on the environment you are in. We will show how to change all these features dynamically at runtime, so that you can deploy the package once, and configure it on the fly with just T-SQL.
Speaker(s): Matt Martin,
Abstract:
Embed Power BI within your Web Application Walk through on Integration of Power BI Pro and Embedded Power BI Service. Pros and Cons of each approach.
Speaker(s): Pritesh Ostwal,
Abstract:
You have the app. You have the data. What if your app could put the power of analytics everywhere decisions are made and allow your customers to gain insights? Modern apps with data visualizations built-in have the power to inform decisions in context—for any user and on any device. Join us to discover how you can embed data analytics in any app and on one device powered by Azure and Power BI Embedded. Learn how to: - Create compelling interactive reports - Embed easily for faster time to value - Deploy quickly and manage with ease
Speaker(s): Teo Lachev,
Abstract:
R -- it's included in SQL Server 2016. What can I do with it? Why do I need to know yet another software language? How can I use it to figure out important things -- like who is the best qb in the league right now, statistically? We'll go over the basics of R and how to do things with it, plus items such as: - Installing and managing packages - Accessing data in various formats - Basic data visualization functions
Speaker(s): Kevin Wilkie,
Abstract:
All the things BI people want to know about RAID but are too afraid to ask, or too lazy to google! We will cover basic concepts, commonly used jargon, the evolution over time and how RAID is used today.
Speaker(s): Chadwick Smith,
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/sqllocks/
Contact: https://sqllocks.net/
Jonathan Stewart is a Business Intelligence consultant specializing in data visualization, data warehousing, and data management technologies. An advocate for educating others, he is a public speaker, teacher and blogger, continually teaching people about the Microsoft BI Stack. Since 2000, he has been working in the database field with industry leaders in healthcare, manufacturing, financial, insurance and federal, state and local governments. Jonathan is very active in the community. He has presented on SQL Server, SSIS, Reporting Services, Power BI and Business Intelligence at numerous SQLSaturday events, local user groups, and conferences throughout the United States and around the world. He participates in webcasts, podcasts, and on
LinkedIn: https://www.linkedin.com/in/austinsenseman
Contact: http://www.powerpivotpro.com
Austin spent the last five years using Modern Excel in the field to solve analytical challenges for the financial services industry, first at BBVA and later at Harbert Management Corporation. As a former analyst, Austin is focused on enabling other data professionals to experience the joys of Power Pivot Power BI. Austin is a CFA Charterholder, former CPA, Excel Power User, and SQL Server Professional, whose involvement in data/analytics projects lowers the communication costs between business users and IT professionals and helps organizations get to solutions faster.
Sr. Software Consultant with broader experience on Business Intelligence solutions, Solution Architecture, Architecture Governance, Application Database optimization, Processes Optimization, Technology Selection, Agile Adoption and Niche Technologies Evaluation, Data Modeling, Framework Development, Product Development, Technology Migration and Software Services Program Management, Project Team leadership, Client Services Maintenance, Pre-Sales Business Engagement, Technical Migration Planning, Process Improvement Governance, Global Software development, Critical thinking, Future solutions / Innovation, Comprehensive problem solver, Stakeholder management, Asset Management, Executing Agile Ceremonies
Kiran Math is a Software Engineer on the Construction Predictive Analytical team at Fluor, where he specializes in T-SQL, R, Python, C# etc. A resident of Greenville, South Carolina, he can be found cycling and hiking the trails around Greenville. He is active in his local SQL PASS chapter in Greenville, speaking and volunteering at SQL Saturdays.
LinkedIn: http://linkedin.com/in/tradney
Contact: http://www.timradney.com
Tim is a Data Platform MVP and has a whole collection of Microsoft and other industry certifications. His experience includes HA/DR, virtualization, SSIS, SSRS, and performance tuning, among everything else SQL Server-related. Tim is very active and passionate in the SQL Community. He runs the Columbus GA SQL Users Group, has been a PASS Regional Mentor for a number of years, was named a PASS Outstanding Volunteer in 2012, and is a frequent speaker at user groups, SQL Saturdays and PASS Summits. Tim is one of the top ranked in karma on ask.sqlservercentral.com, answers questions as @tradney on Twitter, and blogs at http://timradney.com and SQLskills blog at http://www.SQLskills.com/blogs/tim.
LinkedIn: https://www.linkedin.com/pub/janakiraman-jana-sattainathan/a/a07/b95
Contact: http://www.sqljana.wordpress.com
Jana works as a Senior Oracle and SQL Server DBA at SCOR, a leading Reinsurance company in the world. He has spent most of his professional life around databases. At work, he has automated most aspects of his job using PowerShell. Most recently, he created PowerPump, a “PowerShell Database Copy Server” for his company to copy 50 billion rows (> 20 TB,) from 4000+ of Oracle/SQL Server tables on a recurring basis to SQL Server targets for migration/testing. He has also fully automated the database deployment which supports all components of SQL Server and Oracle using PowerShell (with about 150 functions) that is tracked extensively.
LinkedIn: https://www.linkedin.com/in/patrickdleblanc
Contact: http://patrickdleblanc.com
Patrick LeBlanc is a currently a Principal Program Manager at Microsoft and a contributing partner to Guy in a Cube. Along with his 15+ years’ experience in IT he holds a Masters of Science degree from Louisiana State University. He is the author and co-author of five SQL Server books. Prior to joining Microsoft he was awarded Microsoft MVP award for his contributions to the community. Patrick is a regular speaker at many SQL Server Conferences and Community events.
LinkedIn: https://www.linkedin.com/in/sqllocks/
Contact: https://sqllocks.net/
Jonathan Stewart is a Business Intelligence consultant specializing in data visualization, data warehousing, and data management technologies. An advocate for educating others, he is a public speaker, teacher and blogger, continually teaching people about the Microsoft BI Stack. Since 2000, he has been working in the database field with industry leaders in healthcare, manufacturing, financial, insurance and federal, state and local governments. Jonathan is very active in the community. He has presented on SQL Server, SSIS, Reporting Services, Power BI and Business Intelligence at numerous SQLSaturday events, local user groups, and conferences throughout the United States and around the world. He participates in webcasts, podcasts, and on
LinkedIn: http://www.linkedin.com/in/arcanecode
Contact: http://arcanecode.com
Robert C. Cain (http://arcanecode.com) is a Microsoft MVP, MCTS Certified in BI, and is the owner of Arcane Training and Consulting, LLC. He is also a course author for Plurasight, author for Red Gate's SImple Talk website, and co-author of 4 books. A popular speaker, Robert has presented at events such as the SQL PASS Summit, TechEd, CodeStock, and numerous SQL Saturdays. Robert has over 25 years experience in the IT industry, working in a variety of fields ranging from manufacturing to telecommunications to nuclear power.
LinkedIn: https://www.linkedin.com/in/kevinwilkie
Contact: http://sherpaofdata.com
Kevin has 15+ years experience with SQL Server and has worked with the product since version 6.5, although he remembers with distaste the early versions of the product. He started working with SQL Server as an "Accidental" DBA, and has moved up through the ranks as a SQL Developer, a BI Associate, and Production DBA at various parts of his career. Currently, he works as a Lead Data Analyst spreading the gospel of how great data can be to anyone and everyone who will listen.
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: http://www.linkedin.com/profile/view?id=31625242
Scott Currie is the founder and CEO of Varigence, Inc. Scott has led the development at Varigence of the Business Intelligence Markup Language (Biml) and Mist IDE. Before founding Varigence, Scott worked at Microsoft for seven years on the .NET Framework, Visual Studio, the C++ compiler, various customer connection initiatives, and internal BI/DW projects.
 Her work focus within the Microsoft BI Stack has been on Analysis Services and Power BI. She is an active member of PASS community and has spoken at PASS Summit, SQL Saturdays, PASS Business Analytics and Women in Technology virtual chapters, and many other local user groups and conferences. She is one of the organizers of SQL Saturday Atlanta BI Edition. She holds a master's degree in computer science, a bachelor’s degree in Computer Engineering, and a Certified Business Intelligence Professional (CBIP) certification by The Data Warehouse Institute (TDWI).
LinkedIn: http://ca.linkedin.com/in/melodyzacharias
Contact: http://sqlmelody.com
Melody is the Sr. Microsoft Solutions Manager at Pure and has been in love with data since 1991. She has been sharing her passion with the community in technical sessions and blogs since 2014. She has been a Microsoft MVP since 2016, including winning Rookie of the year for Canada that year. This last year, she was elected to the board of directors for PASS.org, the professional association for SQL Server and was awarded Regional Director by Microsoft. She has co-authored 3 books, including, SQL Server 2019 Administration inside out by Microsoft Press.
LinkedIn: https://www.linkedin.com/in/jasontomthomas
Contact: http://www.SqlJason.com
Jason Thomas is a Microsoft Certified SQL Server professional with over 10 years of Microsoft BI experience. He is a BI Consultant for BlueGranite, based in Charlotte, NC. When he#39;s not at work, Jason likes sharing his time between the MSDN forums (for which he was recognized with the Microsoft Community Contributor award), blogging about MSBI (www.SqlJason.com), speaking at SQL Server events, and watching movies with his wife (not necessarily in that order).
LinkedIn: http://www.linkedin.com/in/watsoned
Contact: http://sqlgator.com
Ed Watson is a Principal Data Platform Consultant for Improving Enterprises, a full-stack Microsoft consulting firm in Atlanta. Ed is a Microsoft Data Platform MVP since 2014 and like most children, Ed was born at an early age. Today, Ed specializes in the Business Intelligence stack and enjoys specializing in Power BI immensely. He currently lives in Atlanta and is active with the Atlanta MDF and Atlanta BI user groups and is an organizer for SQL Saturday Atlanta, Atlanta BI, and Pensacola.
LinkedIn: https://www.linkedin.com/in/mattmartin14?trk=hp-identity-name
Contact: http://mddatatech.wordpress.com
Matt Martin is a SQL Server professional that loves data integration and data warehousing. He has over 9 years of experience specializing in ETL automation, and working with big data. In 2015, Matt co-founded a new software company called MD Data Technologies, which simplifies SQL Server ETL by using a T-SQL parameterized wrapper to automate the building and execution of SSIS packages.
LinkedIn: http://www.linkedin.com/in/AndyLeonard
Contact: https://andyleonard.blog
Andy Leonard is founder and Chief Data Engineer at Enterprise Data Analytics, Microsoft Data Platform MVP, creator of the DILM (Data Integration Lifecycle Management) Suite, an SSIS trainer, consultant, developer, Business Intelligence Markup Language (Biml) developer and BimlHero, SQL Server database and data warehouse developer, community mentor, engineer, and farmer. He is a co-author of "The Biml Book and SQL Server Integration Services Design Patterns" and author of "Managing Geeks - A Journey of Leading by Doing", "Data Integration Lifecycle Management with SSIS", "Building Custom Tasks for SSIS", and the "Stairway to Integration Services". Andy blogs at andyleonard.blog where you can learn more on the About Andy page.
LinkedIn: http://www.linkedin.com/in/tlachev
Contact: http://prologika.com/cs/blogs
Teo Lachev is an internationally-recognized authority on Data Analytics. Through his Atlanta-based company Prologika, a Microsoft Gold Partner in Data Analytics, he helps organizations make sense of their most valuable asset: their data. His strategy formulation, trusted advisory and mentoring, design and implementation services empower clients to apply effectively data analytics in order to understand, improve, and transform their business processes. Teo has authored and co-authored several bestselling books on organizational and self-service data analytics, and he has been leading the Atlanta Microsoft BI and Power BI group since he founded it in 2010. Teo has been a Microsoft Most Valued Professional (MVP) Data Platform since 2010.
LinkedIn: http://www.linkedin.com/profile/view?id=31625242
Scott Currie is the founder and CEO of Varigence, Inc. Scott has led the development at Varigence of the Business Intelligence Markup Language (Biml) and Mist IDE. Before founding Varigence, Scott worked at Microsoft for seven years on the .NET Framework, Visual Studio, the C++ compiler, various customer connection initiatives, and internal BI/DW projects.
LinkedIn: http://www.linkedin.com/profile/view?id=31625242
Scott Currie is the founder and CEO of Varigence, Inc. Scott has led the development at Varigence of the Business Intelligence Markup Language (Biml) and Mist IDE. Before founding Varigence, Scott worked at Microsoft for seven years on the .NET Framework, Visual Studio, the C++ compiler, various customer connection initiatives, and internal BI/DW projects.
LinkedIn: https://www.linkedin.com/in/pawarvishal
Contact: http://bimentalist.com/
Vishal Pawar is a Microsoft Data Platform MVP, Microsoft Certified Trainer (MCT), founder of the Global Power BI User Group and co-leader of the PASS Business Analytics Virtual Group. He is a Principal BI Architect in Green House Data, with decades of experience in BI solution architecture and best practices. He has published more than 1000 articles since 2011 in SQL and BI. Vishal teaches a free Power BI course through Udemy, which has more than 65K students from the glob. Vishal is an exceptional technology community of leaders worldwide who actively share their high quality, real-world expertise with the technical communities.
LinkedIn: https://www.linkedin.com/in/seanwerick
Contact: http://www.seanwerick.com
I have been in the data industry for 15 years, specializing in Microsoft business intelligence for the last decade. I have architected, developed and integrated end to end solutions for customers in various sectors including finance, government, health care and retail. I am extremely passionate about data and the endless possibilities for companies utilizing it in the best ways. I enjoy data science and business intelligence because the possibilities and magnitudes of impact are immeasurable.
LinkedIn: https://www.linkedin.com/in/ryanwade44
Ryan is an experienced data analytics professional. His education and work experience enables him to understand things from a technical, analytical, and business viewpoint. He has the ability to present complex data in an intuitive way using sound analytical and visualization methods. He has an advanced analytical and technical skill-set which includes Power BI, T-SQL, R, Python, Azure Machine Learning Services, Azure Databricks, SQL Server Machine Learning Services, Advanced Modern Excel, SSIS, SSAS Tabular. He is a data analytics enthusiast that has spoken at a variety of database and data science conferences about various topics dealing with data analytics.
LinkedIn: http://www.linkedin.com/in/JohnDeardurff
Contact: https://www.sqlmct.com
John has been a Microsoft Certified Trainer (MCT) for over 20 years teaching Azure, SQL Server, Exchange Server, and Windows Server networking courses. He is currently a SQL Premier Field Engineer for Microsoft. He is an MCT Regional Lead for the Eastern United States and a former Data Platform MVP.
LinkedIn: http://www.linkedin.com/profile/view?id=31625242
Scott Currie is the founder and CEO of Varigence, Inc. Scott has led the development at Varigence of the Business Intelligence Markup Language (Biml) and Mist IDE. Before founding Varigence, Scott worked at Microsoft for seven years on the .NET Framework, Visual Studio, the C++ compiler, various customer connection initiatives, and internal BI/DW projects.
LinkedIn: http://www.linkedin.com/in/javierguillen/
Contact: http://javierguillen.wordpress.com/
Javier Guillen is a Solutions Architect for BlueGranite. An active blogger, speaker, and Microsoft community contributor, Javier has more than 10 years developing SQL Server solutions and is very interested in SQL Server Analysis Services and the practical application of MDX and DAX patterns. Javier is also a Power BI Workshop instructor, delivering classes in private and public settings, an adjunct BI instructor for Central Piedmont Community College in Charlotte, NC and an adjunct lecturer for the City University of New York (CUNY) School of Professional Studies undergraduate and bridge graduate courses in Business Analytics. He is also the co-founder and co-organizer of the Charlotte Business Intelligence User Group (CBIG).
LinkedIn: https://www.linkedin.com/in/ryanwade44
Ryan is an experienced data analytics professional. His education and work experience enables him to understand things from a technical, analytical, and business viewpoint. He has the ability to present complex data in an intuitive way using sound analytical and visualization methods. He has an advanced analytical and technical skill-set which includes Power BI, T-SQL, R, Python, Azure Machine Learning Services, Azure Databricks, SQL Server Machine Learning Services, Advanced Modern Excel, SSIS, SSAS Tabular. He is a data analytics enthusiast that has spoken at a variety of database and data science conferences about various topics dealing with data analytics.
LinkedIn: https://www.linkedin.com/in/biprosmith
Chadwick is a BI Consultant who got his first IT job right out of high school. He began "in the trenches" doing phone support and later became a Systems Administrator. Everything changed one day when he became an "accidental DBA" and fell in love with the world of data. As an expert in Business Intelligence, he enjoys helping clients solve complex problems. With a variety of experience working for start-ups and Fortune 100 companies, Chadwick understands the challenges and opportunities that different organizations face. He is an Atlanta native who is blessed with a wonderful wife, two wonderful daughters, and two cats—one that doesn't leave him alone and the other he rarely sees!
LinkedIn: https://www.linkedin.com/in/marktab
Contact: http://marktab.net
Mark Tabladillo Ph.D. works for Microsoft as a Cloud Solution Architect for the US CTO Customer Success Team. He has a science doctorate from Georgia Tech. Based in Atlanta, GA, Mark provides cloud enterprise solutions for companies in the US for Microsoft's strategic clients. He is a chapter leader for the PASS Data Science virtual chapter.
LinkedIn: https://www.linkedin.com/in/patrickdleblanc
Contact: http://patrickdleblanc.com
Patrick LeBlanc is a currently a Principal Program Manager at Microsoft and a contributing partner to Guy in a Cube. Along with his 15+ years’ experience in IT he holds a Masters of Science degree from Louisiana State University. He is the author and co-author of five SQL Server books. Prior to joining Microsoft he was awarded Microsoft MVP award for his contributions to the community. Patrick is a regular speaker at many SQL Server Conferences and Community events.
LinkedIn: http://www.linkedin.com/in/melissacoatesprofile
Contact: https://www.CoatesDataStrategies/blog
Melissa Coates is a data architect with a background in data warehousing and business intelligence. Her current professional focus is enterprise-level Power BI governance, deployment, security, and administration. As the owner of Coates Data Strategies, Melissa produces training and consults to help companies strengthen and sustain their data-driven initiatives. Melissa is big supporter of the technical community, and has been a Microsoft Data Platform MVP since 2013. You can visit Melissa's website at CoatesDataStrategies.com, which includes community resources like diagrams, blogs, and videos.
I got my start with SQL Server almost 15 years ago when I was tasked with converting Access databases to SQL Server based applications. I have been working with SQL Server and SSIS ever since! I am now focused on designing and implementing Data Warehouse solutions with multiple complex data sources. I lead a team of 4 other ETL developers, serving as the architect and Senior ETL developer, and work closely with the business to develop warehouse and analytic solutions.
LinkedIn: http://www.linkedin.com/in/juliesmith0503/
Contact: http://datachix.com
Julie Smith is a Microsoft Data Platform MVP and a BI consultant for Innovative Architects in Atlanta, GA. She#39;s implemented increasingly complex Business Intelligence solutions for over a decade at various organizations. She#39;s also worn many other database “hats” in her career – production DBA and database developer--but data integration and BI are her true passions. Julie holds a BA from the University of South Carolina. She and Audrey Hammonds co-created The Datachix.com blog.
The following is a list of sponsors that helped fund the event.


Otumfuo visits Bawumia at Jubilee House
The Asantehene, Otumfuo Osei Tutu II, has paid a courtesy call on Vice President Dr Mahamudu Bawumia.
The visit took place on Friday evening, November 22, 2019, at the seat of Government, Jubilee House.
That was after the Asantehene delivered a lecture at the University of Professional Studies, Accra.
“It was such an honour to receive Otumfuo at the Jubilee House,” Dr Bawumia said.
“We discussed issues of national interest geared towards national development and growth,” he noted.


#include <ybwc.h>
Public Attributes | |
| volatile int | bestmove |
| volatile int | bestscore |
| volatile int | alpha |
| int | beta |
| bool | pv_node |
| volatile bool | has_slave |
| volatile bool | stop_point |
| volatile bool | is_waiting |
| int | depth |
| int | height |
| struct Search * | search |
| struct Search * | slave |
| struct Node * | parent |
| struct Move * | move |
| volatile int | n_moves_done |
| volatile int | n_moves_todo |
| volatile bool | is_helping |
| Task | help [1] |
| Lock | lock |
| Condition | cond |
A Node is a position in the search tree, containing information shared with parallel threads.
| volatile int Node::alpha |
alpha lower bound
| volatile int Node::bestmove |
bestmove
| volatile int Node::bestscore |
bestscore
| int Node::beta |
beta upper bound (is constant after initialisation)
| Condition Node::cond |
condition variable
| int Node::depth |
depth
| volatile bool Node::has_slave |
slave flag
| int Node::height |
height
| Task Node::help[1] |
helper task
| volatile bool Node::is_helping |
waiting flag
| volatile bool Node::is_waiting |
waiting flag
| Lock Node::lock |
mutex
| struct Move* Node::move |
move to search
| volatile int Node::n_moves_done |
search done
| volatile int Node::n_moves_todo |
search todo
| struct Node* Node::parent |
master node
| bool Node::pv_node |
pv_node
| struct Search* Node::search |
master search structure
| struct Search* Node::slave |
slave search structure
| volatile bool Node::stop_point |
stop point flag


Creative, harmonious living
MUJI products are all made to standart sizes so that you can mix and match them freely
Comfortable & elegant bicycles
MUJI products are all made to standart sizes so that you can mix and match them freely
MUJI products are all made to standart sizes so that you can mix and match them freely
MUJI products are all made to standart sizes so that you can mix and match them freely


{% if parties %}
|
{{ party.officer.lastName }},
{{ party.officer.firstName }}
{% if party.officer.middleName %}
{{ party.officer.middleName }}
{% endif %}
|
{% if party.mailingAddress is defined %}
Mailing Address
{{ party.mailingAddress.streetAddress }}
{{ party.mailingAddress.streetAddressAdditional }}
{{ party.mailingAddress.addressCity }}
{{ party.mailingAddress.addressRegion }}
{{ party.mailingAddress.postalCode }}
{{ party.mailingAddress.addressCountry }}
{{ party.mailingAddress.deliveryInstructions }}
|
{% endif %}
|
| Relationship to the Company: | {{relationshipsDesc}}. |


Tea With Mussolini **1/2
rated PG MGM/G2 Films starring Cher, Judi Dench, Joan Plowright, Maggie Smith, Lily Tomlin, Baird Wallace, Charlie Lucas based on the autobiography of Franco Zeffirelli screenplay by John Mortimer and Franco Zeffirelli directed by Franco Zeffirelli
In the past year or two, there has been no shortage of World War II based films. Viewers have now seen the war from many unique perspectives, and can form their own account of what happened. This time around, acclaimed director Franco Zeffirelli, who is best known for his 1968 black-and-white version of "Romeo And Juliet", shares with us his true story of being raised in Italy during World War II.
In the film, Zeffirelli goes by the alias Luca (Charlie Lucas as a child, Baird Wallace as a teen). Luca's Italian father has remarried to a woman who for some reason despises the child, and Luca is sent off to live with his English caretaker, Mary (Joan Plowright). Mary is part of the Scorpioni, a group of mostly arrogant, wealthy, conceited English women who happen to be living in Florence for the time being. Hester (Maggie Smith), the leader of the clan, has recently had tea with Mussolini, the leader of Italy, and he has assured her that the women will be kept safe in case of any war.
When Elsa (Cher), an elegant, audacious American Jewish woman arrives into the city, the threat of war seems to come with her. But the women keep their poise and the oncoming war seems to do nothing to stop their rich lifestyle. Luca is then sent to Austria by his father so that he can learn the Nazi ways, and the Englishwomen are told that they are no longer welcome in Italy. The orders work to no avail.
"Tea With Mussolini" starts off nicely, but the pace soon slows and the film becomes less interesting as it succumbs to World War II cliches instead of telling Luca's own story. The livelier moments are dragged down by the dry patches.
The film does feature a first-rate cast, including Cher (in her first film role since 1996's "Faithful"), Academy Award Winner Judi Dench, and Lily Tomlin. All the actresses bring life to their characters, and despite a clunker of a script, "Tea With Mussolini" at least has its heart in the right place.
a review by Akiva Gottlieb, The Teenage Movie Critic<EMAIL_ADDRESS>http://www.angelfire.com/mo/film
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


“But what could strangers see of it? The foreshore to them is the unending monotony of grey streets, sometimes grim, often decayed, and always reticent and sullen, that might never have seen the stars nor heard of good luck; and the light would be, when closely looked at, merely a high gas bracket on a dank wall in solitude, its glass broken, and the flame within it fluttering to extinction like an imprisoned and crippled moth trying to evade the squeeze of giant darkness and the wind.” — H M Tomlinson, London River


(123) 456-7890<EMAIL_ADDRESS>Add your skills.
Month 20xx - Present
Month 20xx - Month 20xx, Location
One, two, three.
One, Two Three.


Joha Park
Senior Computational Scientist at Intellia Therapeutics
E-mail:
[firstname][lastname] AT gmail.com
I’m a computational biologist specializing in sequencing and imaging data analysis. I majored in biology for my undergraduate at Seoul National University and joined the Narry Kim lab to study RNA biology. During my Ph.D., I carried out diverse next-generation sequencing (NGS) data analysis to study various coding and noncoding RNAs. Besides the standard NGS technologies such as bulk or single-cell RNA-seq, I have extensive experience in preparing and analyzing custom RNA-seq libraries. For example, I used fCLIP-seq to reveal the endogenously-expressed dsRNA binding repertoire of PKR, and TAIL-seq to profile global poly(A)-tail length to study mRNA poly(A) tail regulations.
After I joined the Chung lab as a postdoc, I focused on hydrogel-based tissue engineering (review) and microscopy imaging data analysis. I developed eMAP which maximally preserves epitopes by purely physical tissue-gel hybridization. It enables superresolution imaging on a cleared and expanded tissue-gel that maintains exceptional antigenicity. Typical datasets I analyzed were large-scale confocal/light-sheet microscopy images of those tissue-gel hybrids, which require dedicated machine learning techniques and efficient parallelization of computation.
As a scientist, my long-term research interest lies in single-cell and spatial genomics in the RNA biology and therapeutics contexts. I’m particularly interested in revealing cell-to-cell heterogeneity within the healthy and diseased tissue microenvironment. I believe cross-disciplinary approaches utilizing both high-throughput sequencing and imaging techniques would open an avenue for investigating tissue in greater detail at multiple scales, facilitating research and drug developement.
recent news
| Apr 3, 2023 | I have joined the Computational Sciences team at Intellia Therapeutics! |
|---|---|
| Feb 27, 2023 | LARP1-poly(A) study is published online (finally!) (link) |
| May 24, 2022 | LARP1-poly(A) study is accepted for publication in Nature Structural & Molecular Biology ! |
| Apr 1, 2022 | Appointed as a Picower Postdoctoral Fellow |
| Jan 13, 2022 | eMAP is covered in a news article from Picower (link) |


| scatter-method {pbdMPI} | R Documentation |
This method lets a rank scatter objects to every rank in the same communicator. The default input is a list of length equal to ‘comm size’ and the default return is an element of the list.
scatter(x, x.buffer = NULL, x.count = NULL, displs = NULL, rank.source = .pbd_env$SPMD.CT$rank.source, comm = .pbd_env$SPMD.CT$comm)
x |
an object of length ‘comm size’ to be scattered to all ranks. |
x.buffer |
a buffer to hold the return object which probably has
'size of element of |
x.count |
a vector of length ‘comm size’ containing all object lengths. |
displs |
|
rank.source |
a rank of source where elements of |
comm |
a communicator number. |
All elements of x
are likely presumed to have the same size and type.
x.buffer
, x.count
, and displs
can be NULL
or
unspecified. If specified, the type should be one of integer, double, or
raw specified correctly according to the type of x
.
If x.count
is specified, then the spmd.scatterv.*()
is
called.
An element of x
is returned according to the rank id.
For calling spmd.scatter.*()
:
signature(x = "ANY", x.buffer = "missing", x.count = "missing")
signature(x = "integer", x.buffer = "integer", x.count = "missing")
signature(x = "numeric", x.buffer = "numeric", x.count = "missing")
signature(x = "raw", x.buffer = "raw", x.count = "missing")
For calling spmd.scatterv.*()
:
signature(x = "ANY", x.buffer = "missing", x.count = "integer")
signature(x = "ANY", x.buffer = "ANY", x.count = "integer")
signature(x = "integer", x.buffer = "integer", x.count = "integer")
signature(x = "numeric", x.buffer = "numeric", x.count = "integer")
signature(x = "raw", x.buffer = "raw", x.count = "integer")
Wei-Chen Chen<EMAIL_ADDRESS>George Ostrouchov, Drew Schmidt, Pragneshkumar Patel, and Hao Yu.
Programming with Big Data in R Website: http://r-pbd.org/
bcast()
.
## Not run: ### Save code in a file "demo.r" and run with 2 processors by ### SHELL> mpiexec -np 2 Rscript demo.r ### Initial. suppressMessages(library(pbdMPI, quietly = TRUE)) init() .comm.size <- comm.size() .comm.rank <- comm.rank() ### Examples. N <- 5 x <- split(1:(N * .comm.size), rep(1:.comm.size, N)) y <- scatter(lapply(x, matrix, nrow = 1)) comm.print(y) y <- scatter(x, double(N)) comm.print(y) ### Finish. finalize() ## End(Not run)


--- layout: post title: Episode 056 | Jessica Kerr - Authentic Speaker link: http://traffic.libsyn.com/developeronfire/DeveloperOnFire-56-JessicaKerr.mp3 length: 37748736 speaker: Dave Rael duration: '40:12' subtitle: 'Developer On Fire: Jessica Kerr' guest_name: Jessica Kerr image: /assets/images/JessicaKerr.jpg guest_blog: http://jessitron.com/ guest_twitter: jessitron disqus_url: http://developeronfire.com/Podcast/Episodes/jessica-kerr-authentic-speaker episode_number: 56 book_recommendations: - { url: "http://www.amazon.com/dp/0262521121/?tag=devonfir-20", title: "Vehicles: Experiments in Synthetic Psychology", author: "Valentino Braitenberg"} - { url: "http://www.amazon.com/dp/067973337X/?tag=devonfir-20", title: "The Beak of the Finch: A Story of Evolution in Our Time", author: "Jonathan Weiner"} tags: - { url: "http://www.amazon.com/dp/0262521121/?tag=devonfir-20", title: "Vehicles: Experiments in Synthetic Psychology", author: "Valentino Braitenberg"} - { url: "http://www.amazon.com/dp/067973337X/?tag=devonfir-20", title: "The Beak of the Finch: A Story of Evolution in Our Time", author: "Jonathan Weiner"} redirect_from: - "/56/" - "/056/" - "/0056/" - "/jessica-kerr-authentic-speaker/" - "/Jessica-Kerr/" - "/JessicaKerr/" - "/Podcast/Episodes/56/" - "/Podcast/Episodes/056/" - "/Podcast/Episodes/0056/" - "/Podcast/Episodes/jessica-kerr-authentic-speaker/" - "/Podcast/Episodes/Jessica-Kerr/" - "/Podcast/Episodes/JessicaKerr/" guid: http://developeronfire.com:80/Podcast/Episodes/jessica-kerr-authentic-speaker ---
Jessica Kerr is incredibly excited to be a software developer. She does some blogging and some tweeting, software development at Stripe, which is amazing, and some podcasting as a panelist on Ruby Rogues, and some meetup-ing, and some teaching programming to her sister, and some speaking.
1. Learn out loud and leave a trail
2.  Get involved in mentoring and appreciate how much you really do know


INTERAC Online allows you to make payments directly from your bank account. It is available to cardholders of participating financial institutions.
Try it out by clicking through without entering any information.


MAN BITES DOG A film review by James Berardinelli Copyright 1993 James Berardinelli
Rating: 8.0 out of 10 (B, **1/2 out of ****)
Date Released: varies Running Length: 1:33 Rated: NC-17 (Graphic violence, language, nudity, rape)
Starring: Remy Belvaux, Benoit Poelvoorde, Andre Bonzei Director: Remy Belvaux Producers: Belvaux, Poelvoorde, and Bonzei Screenplay: Belvaux, Poelvoorde, Bonzei, and Vincent Tavier Released by Roxie Releasing French with English subtitles
MAN BITES DOG is a pseudo-documentary that follows the killing sprees of the murderous Benoit (Benoit Poelvoorde). With cameras rolling, he calmly explains his theories about killing people and weighing down the bodies so they won't float to the surface of whatever river or lake he dumps them in. He then proceeds to slaughter person after person, respecting neither age nor sex nor race, and murdering in a wide variety of ways from strangulation to a bullet to the head. All the while, the film crew trails him, heedless of the danger they put themselves in, and uncaring as they are drawn deeper and deeper into the psychotic, criminal world of their subject.
As a short, this could have been a brilliant, blistering satire on society's views of violence and how it relates to movies. However, MAN BITES DOG is a full-length feature and, as such, spends a little too much time with its subject. Thirty minutes, or even forty-five, would have been a perfect length, but by the end of the third half-hour, certain elements of this movie (namely Ben's endless philosophizing) have grown tired. The violence has lost its edge and the movie has begun to meander.
Nevertheless, despite the possibly-excessive length, there is still a lot to praise in this obscure effort by a trio of previously-unknown Belgian film makers. They have taken violence in the cinema to its ultimate limit and created an always-irreverent, often darkly funny look at killers and victims.
Every moment of this film is shot documentary-style in grainy black-and-white. This pseudo-realism, complete with choppy editing and unsteady, hand-held camera shots, gives an eerie air of legitimacy to MAN BITES DOG. Added to that, the three main characters in the film all use their real names. The film makers are Remy and Andre, and the killer is Benoit.
Benoit possesses an especially interesting personae. Heartless as a killer, he's actually a fun guy to be around most of the time. He loves his girlfriend and adores his family. He's smart and thoughtful, often giving lengthy discourses on various aspects of life and death.
An issue addressed by MAN BITES DOG is how intimately the media becomes involved in the stories they cover. Are they simply reporting the facts or, by their mere presence, are they participating in them? The answer given by this film isn't obscure as the movie makers slowly come to assist Ben in his various crimes. At first, it's just little things like shining a light in a certain spot, but it doesn't take long before they're actually joining in.
At one time or another, comparisons have been made between this film and a couple of other recent, gut-wrenching productions--HENRY: PORTRAIT OF A SERIAL KILLER and RESERVOIR DOGS. From my point-of-view, while there are superficial similarities between these pictures and MAN BITES DOG, the basic thrust is radically different. RESERVOIR DOGS and HENRY are both serious movies. MAN BITES DOG approaches itself and its subject with tongue planted firmly in cheek.
One of the most hilarious moments in the film comes when Ben has a shoot-out with another killer. After Ben kills his rival, the film crew catches up with him standing over the body. At that moment, another group of men with cameras show up--they had been doing a documentary about the exploits of the now-dead man. Dark, twisted humor like this characterizes MAN BITES DOG.
The limited budget of the film shows, but in a way that adds to the genuine feel of what we're seeing. The plot has a couple of twists that allow us to see various emotions from all of the principals of MAN BITES DOG. Nevertheless, through the entire movie, the only character to be effectively developed is that of the killer, Ben.
Obviously not a movie for everyone, MAN BITES DOG boasts graphic displays of murder and rape. There's very little of the human body--inside or out--that isn't shown at one time or another during the course of this movie. Nevertheless, if you do venture to see MAN BITES DOG, you would have to be made out of stone to miss the visceral, sardonic impact of a highly-unusual film.
- James Berardinelli<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{% extends "account/base.html" %} {% block title %}Sign Up Closed{% endblock %} {% block body %}
We are sorry, but the sign up is currently closed.


{% extends "commissions/base.html" %}
{% load static sekizai_tags %}
{% block title %}
Commissions - New
{% endblock title %}
{% block subcontent %}
New Commission
{% csrf_token %}
{% if form.errors %}
{% include "_includes/errors.html" %}
{% endif %}
{% include "_includes/model_fields/textfield_date.html" %}
{% include "_includes/model_fields/textfield_modeled.html" %}
{% include "_includes/model_fields/autocomplete.html" %}


THE SIXTH SENSE
Reviewed by Harvey Karten Hollywood Pictures/Spyglass Entertainment Director: M. Night Shyamalan Writer: M. Night Shyamalan Cast: Bruce Willis, Toni Collette, Olivia Williams, Haley Joel Osment
How strange that Halloween occurs each year during the fall season when everyone knows that ghosts much prefer the steamy summer nights for their hauntings. Kids whose parents need a rest are sent to camp in July where they sit around the campfire on Sunday night listening to stories of goblins and ghosts and monkeys' paws and witches. If they don't have their share of such tales, their counselors fill them in on Tuesdays after the canteens are loaded and blankets are drawn in the cool mountain air. Those not fortunate enough to be in the country or to be eight or nine years old settle into the seats at the local megaplex, giving what little imagination they have left in the TV age to the literalness of the movie screen. There the fanciful phantoms and spirited scepters glide across huge Gothic estates or suburban ranch homes, seen only by those of us still young enough to possess inventive intuition. In Jan De Bont's "The Haunting," nothing is left to the resourcefulness of our own minds as a purgatory as literal as a medieval painting passes before our eyes. Apparitions of children drift across bedsheets while a gruesome old man comes to life from a picture to continue tormenting the wage slaves he drove to their deaths. In Myrick and Sanchez's "The Blair Witch Project," the special f/x guy takes a break as three 20-somethings roam across a sylvan expanse followed and presumably devoured by invisible entities that no one ever sees. M. Night Shyamalan takes a middle ground in "The Sixth Sense," a story about an eight-year-old lad with paranormal powers that seems to be have been made not so much to scare the audience but to provide a testing ground for Bruce Willis. Will this actor, already among the highest paid in history for his profession, be able to parlay his against-type role as a passive, shellshocked, reclusive Kentucky uncle in Norman Jewison's "In Country" into yet a broader range of portrayals?
Unfortunately Willis--who enjoys a role as child psychologist that could have been imbued with resonance and even transcendence--confuses enervation with kindness and understanding. A lame, rambling script and weak direction from M. Night Shayamalan--whose "Praying with Anger" deals with a U.S. exchange student who returns to India as a stranger in his own land--sucks the potential vigor out of this film, giving it about the same makeup and density as the sickly looking, watery glass of skim milk that makes its gruesome appearance twice in the 114-minute tale.
The one arresting concept in Shayamalan's screenplay is the role reversal. Recalling the notion, "physician, heal thyself," what ultimately materializes from the long sessions between psychologist Malcolm Crowe (Bruce Willis) and the little guy who seems to be his sole patient, Cole Sear (Haley Joel Osment) is a counter-transference. As disturbed and fearful as the psychic boy may be, the mature adult analyzing him is plagued with guilt for ignoring his lovely wife Anna (Olivia Williams), seemingly driving her into the arms of her co-worker Sean (Glenn Fitzgerald). At one point, he has even forgotten his anniversary date with his wife in a plush Italian restaurant: when he turns up, she has already finished her dinner, signed the check, and leaves without speaking or even looking at the poor man.
Just as Willis's character, Uncle Emmett, has become a passive loner in Norman Jewison's "In Country," in "The Sixth Sense" his life takes a bad turn when he is shot in the stomach by an intruder, Vincent Gray (Donnie Wahlberg), whom he recognizes as a patient he was unable to help. Though he has soon recovered from his wound, he is scarred emotionally and determined to relieve his guilt by helping little Cole.  In one case he uses his psychic sixth sense to discover that a young girl, Kyra (Mischa Barton), has been slowly poisoned by her mother. In another, he is riding in the family car with his perpetually distracted mother, Lynn Sear (Toni Collette), and informs her that a woman two blocks ahead has been killed in an accident. While his apparent powers frighten his mother, who believes the kid simply has a vivid fantasy life, they do not win him friends at school. He drives his civics teacher, Stanley Cunningham (Bruce Norris), off the wall by reminding him openly that when Cunningham was a kid, he was called "stuttering Stanley." Nor can the teacher accept Cole's knowledge of history when the boy insists that centuries ago, the building in which the school is now housed was the scene of a hanging.
The movie springs to sudden life during its final fifteen minutes, too late, of course, to redeem the screenplay which plods along at a torpid pace as if Willis wants to show his public that he can be more arty than he was in the "Die Hard" series. He does not play one of those non-directive therapists who sit and say nothing for entire sessions, but in fact conducts a great deal of amiable conversation with his patient--becoming the only person the kid believes can help him. Despite this verbal activity, he appears to sleepwalk through the role as he tries to reclaim the kid, as though a low-key operation is coincident with serious acting.
Haley Joel Osment, who has been a thesp since the age of five, is unusually perceptive, pursuing his character with a serious face and morbid demeanor throughout.   But the movie, devoid of terror, a palpable sense of torment, and just plain energy, fizzles along, becoming effervescent too little too late.
Rated PG-13. Running Time: 114 minutes. (C) 1999 Harvey Karten
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


| Feature | Construct 2 | Construct 3 |
|---|---|---|
| General | ||
| Facebook Instant Games | :x: | :white_check_mark: |
| OS | Windows only | Any (work in the browser) |
| Data Editor | :x: | :white_check_mark: |
| Build Service | :x: | :white_check_mark: |
| Advanced Project Statistics | :x: | :white_check_mark: |
| Live Previews | :x: | :white_check_mark: |
| Debugger | Regular | Advanced |
| Custom Color (Comments & Groups) | :x: | :white_check_mark: |
| BBCode in Event Sheet | :x: | :white_check_mark: |
| Boolean (Global & Local) | :x: | :white_check_mark: |
| Bundled Addons | :x: | :white_check_mark: |
| Create Object by Name | :x: | :white_check_mark: |
| Build system | Integrated build system | Cloud build system |
| Support | Maintenance mode (some features added) | Active |
| Price | One-Time purchase | Yearly license |
You can extend this table by submitting a pull request.
You can submit one or more lines.
Each line must be formatted ike the following
| Feature name | :white_check_mark: | :x: |
If it’s not a exist / does not exist case, just put what’s relevant inside the cell
| OS | Windows only | Any |
We always compare features of the Constrcut 2 and the c2runtime and Construct 3 and the c3runtime.


Profile
"Slow or Fast, A Mile is A Mile."
- Hiep Nguyen
About me
I consider myself a person with a high sense of responsibility, discipline, rigor, and motivation. i try my best to develop communication, learning, problem-solving and teamwork skills. During my career in higher education, i tried to reconcile my academic training with activities that made me develop soft skills: organizing events, critical thinking, and personal growth.
Details
Name:
Carlos José Seabra Costa Oliveira
Graduation:
MSc in Eletrical and Computer Engineering
Birth date:
20-01-1996
Location:
Aveiro, Portugal
Employment History
"Choose a job you love, and you will never work a day in your life."
- Annabelle Parr
Summer Job, Gres Panaria Portugal, S.A.
Maintenance and cleaning of ceramics prints at Margres production unit.
Summer Job, Recer - Indústria de Revestimentos Cerâmicos, S.A.
Maintenance of ceramic production lines.
Education
"Live as if you were to die tomorrow. Learn as if you were to live forever."
- Mahatma Gandhi
University of Trás-os-Montes and Alto Douro
Master Degree in Eletrical and Computer Engineering;
Master thesis: Optimization of wind power-based self-consumption systems for high-rise buildings, Grade: 19;
IPSB - Instituto de Promoção Social de Bustos
High School in the field of science and technology.
Abilities
"Ability may get you to the top, but it takes character to keep you there."
- John Wooden
Projects
"Those who plan do better than those who do not plan even though they rarely stick to their plan."
- Winston Churchill
SSCt 2021, Qatar
02/2021 - 04/2021
Participation as first author in Sustainable Smart Cities and Territories International Conference (SSCt) in Qatar with the paper titled as: Wind energy assessment for small wind turbines in different roof shapes based on CFD (Computational Fluid Dynamics) simulations.
Keywords:
CFD simulations Factor Matrices Roof shapes
EDP University Challenge 2020
06/2020 - 10/2020
Participation at the EDP University Challenge 2020 local ceremony as a semi-finalist team with the project: Optimization of the power curve using wind flow extrapolation in buildings.
Keywords:
Project Management Business Model Canvas Renewable Energy
IAPE'20
06/2020 - 09/2020
Participation as first author in IAPE’20 with the paper titled as: Wind energy exploitation in urban environment: the effect of roof shape.
Keywords:
Renewable Energy Wind Turbines Roof shapes
Internships
"My advice for young people is, study what you love and intern in what you want to do. And I think it's okay to pivot as many times as you need to."
- Eva Chen
University of Applied Sciences | Technikum Wien
An initial study of the best wind turbines for insertion in skyscrapers;
Wind speed data collection for the master thesis, with the purpose of studying the efficiency and the energy produced by the wind turbine;
Research of new wind technology for small wind power turbines;
Familiarization with standards for small wind turbines, such as IEC 61400-2 and IEC 61400-12-1.


about me
Hi 👋🏼, I'm Nicolas
I'm a lead product designer and mentor for the suite of e-Commerce sites at URBN.
I specialize in personalization, listing, usability & heuristics, and the users journey from inspiration to purchase.
curriculum vitae
work experience
speaking and teaching
education
Why Green?
Studies show that green is associated with feelings of happiness, comfort, hope, excitement, and a general sense of peace. These are the values I hold myself to in both professional and personal life.
Reach out and I'll provide some complimentary links – coia.nac@gmail.com


pyModbusTCP give access to modbus/TCP server through the ModbusClient object. This class is define in the client module.
Since version 0.1.0, a server is available as ModbusServer class. This server is currently in test (API can change at any time).
To deal with frequent need of modbus data mangling (for example convert 32 bits IEEE float to 2x16 bits words) a special module named utils provide some helpful functions.
Package map:
from PyPi:
# for Python 2.7
sudo pip-2.7 install pyModbusTCP
# or for Python 3.2
sudo pip-3.2 install pyModbusTCP
# or upgrade from an older release
sudo pip-3.2 install pyModbusTCP --upgrade
from Github:
git clone https://github.com/sourceperl/pyModbusTCP.git
cd pyModbusTCP
# here change "python" by your python target(s) version(s) (like python3.2)
sudo python setup.py install
init module from constructor (raise ValueError if host/port error):
from pyModbusTCP.client import ModbusClient
try:
c = ModbusClient(host="localhost", port=502)
except ValueError:
print("Error with host or port params")
you can also init module from functions host/port return None if error:
from pyModbusTCP.client import ModbusClient
c = ModbusClient()
if not c.host("localhost"):
print("host error")
if not c.port(502):
print("port error")
Now, it’s possible to use auto mode to let module deal with TCP open/close.
For keep TCP open, add auto_open=True in init:
c = ModbusClient(host="localhost", auto_open=True)
For open/close socket before/after read or write, do this:
c = ModbusClient(host="localhost", auto_open=True, auto_close=True)
You can also open manually the TCP link. After this, you call a modbus request function (see list in next section):
if c.open():
regs_list_1 = c.read_holding_registers(0, 10)
regs_list_2 = c.read_holding_registers(55, 10)
c.close()
With a forever polling loop, TCP always open (auto-reconnect code):
while True:
if c.is_open():
regs_list_1 = c.read_holding_registers(0, 10)
regs_list_2 = c.read_holding_registers(55, 10)
else:
c.open()
time.sleep(1)
See http://en.wikipedia.org/wiki/Modbus for full table.
| Domain | Function name | Function code | ModbusClient function |
|---|---|---|---|
| Bit | Read Discrete Inputs | 2 | read_discrete_inputs() |
| Read Coils | 1 | read_coils() | |
| Write Single Coil | 5 | write_single_coil() | |
| Write Multiple Coils | 15 | write_multiple_coils() | |
| Register | Read Input Registers | 4 | read_input_registers() |
| Read Holding Registers | 3 | read_holding_registers() | |
| Write Single Register | 6 | write_single_register() | |
| Write Multiple Registers | 16 | write_multiple_registers() | |
| Read/Write Multiple Registers | 23 | n/a | |
| Mask Write Register | 22 | n/a | |
| File | Read FIFO Queue | 24 | n/a |
| Read File Record | 20 | n/a | |
| Write File Record | 21 | n/a | |
| Read Exception Status | 7 | n/a | |
| Diagnostic | Diagnostic | 8 | n/a |
| Get Com Event Counter | 11 | n/a | |
| Get Com Event Log | 12 | n/a | |
| Report Slave ID | 17 | n/a | |
| Read Device Identification | 43 | n/a |
If need, you can enable a debug mode for ModbusClient like this:
from pyModbusTCP.client import ModbusClient
c = ModbusClient(host="localhost", port=502, debug=True)
or:
c.debug(True)
when debug is enable all debug message is print on console and you can see modbus frame:
c.read_holding_registers(0, 4)
print:
Tx
[E7 53 00 00 00 06 01] 03 00 00 00 04
Rx
[E7 53 00 00 00 0B 01] 03 08 00 00 00 6F 00 00 00 00
[0, 111, 0, 0]
Sample data mangling, usefull for interface PLC device.
16 bits to 32 bits integers:
from pyModbusTCP import utils
list_16_bits = [0x0123, 0x4567, 0x89ab, 0xcdef]
# big endian sample (default)
list_32_bits = utils.word_list_to_long(list_16_bits)
# display "['0x1234567', '0x89abcdef']"
print([hex(i) for i in list_32_bits])
# little endian sample
list_32_bits = utils.word_list_to_long(list_16_bits, big_endian=False)
# display "['0x45670123', '0xcdef89ab']"
print([hex(i) for i in list_32_bits])
two’s complement (see http://en.wikipedia.org/wiki/Two%27s_complement):
from pyModbusTCP import utils
list_16_bits = [0x0000, 0xFFFF, 0x00FF, 0x8001]
# display "[0, -1, 255, -32767]"
print(utils.get_list_2comp(list_16_bits, 16))
# display "-1"
print(utils.get_2comp(list_16_bits[1], 16))
an integer of val_size bits (default is 16) to an array of boolean:
from pyModbusTCP import utils
# display "[True, False, True, False, False, False, False, False]"
print(utils.get_bits_from_int(0x05, val_size=8))
gateway between IEEE single precision float and python float:
from pyModbusTCP import utils
# convert python float 0.3 to 0x3e99999a (32 bits IEEE representation)
# display "0x3e99999a"
print(hex(utils.encode_ieee(0.3)))
# convert python float 0.3 to 0x3e99999a (32 bits IEEE representation)
# display "0.300000011921" (it's not 0.3, precision leak with float...)
print(utils.decode_ieee(0x3e99999a))


Breaking the Cultural Barriers of Food
Better discover and compare your best memories with Photo Groups.
Using AI to Cultivate Mindfulness in Personal Finance Management
What I learned and what I could have done during my Home Depot internship.
Smart Cooking Assistant that Reduces Food Waste
Collective Breathing Game for Stress Relief
Helping Novice Backpackers Find the Perfect Backpack
VR Dancing/Imitation Experience in Oculus Rift


Market your work, Book new & existing clientele, and increase revenue
SIGN UP NOWNo more walking in with large amounts of cash for change. Clients will pay through app, making the money change hands without literally having to change hands.
Detailed reports include customer data and payment history. These reports will help better understand how your money flows in, and what changes needed to increase income.
Users will be able to check your schedule and find the time that best accommodates them. Set your hours, vacation days, and lunch times and have your day preset.
Will Flare, you will be introduced to new clientelle daily. We make it easy for you to show your work off. As you finish up your appointment, snap a pic through the app. This will automatically be uploaded to the timeline of users on the app whom are in your city.
Thank you! Your submission has been received!
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Xduce currently offers 21 different transducers. The examples in this manual largely revolve around the two most commonly used ones, map
and filter
, but they will all be touched upon here.
Each of these transducers is available on the main xduce object's transducers
property. Assuming that the main object is called xduce
, this would mean that map
is available as xduce.transducers.map
, for instance. Most of the transducer examples below assume you've already taken care of importing the transducer in question, so that code isn't repeated over and over.
For more information on any of these, see the API documentation.
Each of these 21 transducers can be used to provide the transducer argument to the basic transduction functions. This is the normal use of these functions.
const sequence = xduce.sequence;
const map = xduce.transducers.map;
sequence([1, 2, 3, 4, 5], map(x => x + 1));
// -> [2, 3, 4, 5, 6]
However, if provided a collection as the first argument, the transducer will perform the entire operation itself. This is termed a transducer shortcut. Behind the scenes, the transducer will call sequence
to put together an output collection without you having to call it explicitly. Therefore, this code is for all intents and purposes exactly the same as the above example.
const map = xduce.transducers.map;
map([1, 2, 3, 4, 5], x => x + 1);
// -> [2, 3, 4, 5, 6]
The examples all use this shortcut method out of a desire for succinctness, but it's no more or less correct than using sequence
.
Any transducer that takes a function for a parameter also takes an optional context object. If this object is provided, it will become this
inside the function. This context object is never used in the descriptions on this page, though it does appear in the API documentation.
This is not available with ES2015 arrow functions, as there is no way to bind this
in one of these functions (this
is bound lexically, meaning that it will be whatever this
was at the time of the arrow function's definition).
This is meant as a convenience. There's no reason you can't bind your own function and pass the bound function directly to the transducer.
Mapping transducers pass collection values through a function, filling an output collection with the results. There are two mapping transducers, differing only in how they handle elements that are collections themselves.
map
Your basic mapping transducer, map
accepts a function which is applied to each element of the input collection. The return values then become the values in the output collection.
map([1, 2, 3, 4, 5], x => x + 1); // -> [2, 3, 4, 5, 6]
map('hello', x => x + x + x); // -> "hhheeellllllooo"
flatMap
flatMap
works almost the same as map
, except that the output elements are flattened. In other words, if an output element is a collection, its elements are removed from that collection and made top-level members of the output collection instead.
flatMap([1, 2, 3, 4, 5], x => [x, x * x]); // -> [1, 1, 2, 4, 3, 9, 4, 16, 5, 25]
If we use map
with the same arguments, it's easy to see the difference.
map([1, 2, 3, 4, 5], x => [x, x * x]); // -> [[1, 1], [2, 4], [3, 9], [4, 16], [5, 25]]
Only the top-level collections are flattened. If a top-level collection contains collections for elements, those collections will not be flattened.
flatMap
is easy to define as a composition of map
and flatten
. However, it's useful in enough different scenarios that it justifies being a part of the base library.
Filtering transducers take a collection and decide whether to keep or reject each element. Those that are kept appear in the output collection; those that are rejected do not.
filter
The most basic of filtering transducers, filter
takes a function and applies it to each element of the input collection. Those that return true
are kept, while those that return false
will not appear in the output collection.
const even = x => x % 2 === 0;
const vowel = x => 'aeiou'.includes(x);
filter([1, 2, 3, 4, 5], even); // -> [2, 4]
filter('hello world', vowel); // -> "eoo"
reject
reject
is exactly like filter
, except opposite. Again, the function is applied to each element of the input collection, but this time the only ones that appear in the output collection are those for which the function returns false
.
const even = x => x % 2 === 0;
const vowel = x => 'aeiou'.includes(x);
reject([1, 2, 3, 4, 5], even); // -> [1, 3, 5]
reject('hello world', vowel); // -> "hll wrld"
compact
This transducer removes any "falsey" values from the input collection. There are five of these "falsey" values in JavaScript: false
, null
, undefined
, 0
, and ""
.
Unlike the other filtering transducers, this one doesn't take a function. The function is already built in.
compact([0, 1, 2, false, 3, null, 4, undefined, '', 5]); // -> [1, 2, 3, 4, 5]
Taking transducers return a certain set of elements from the input collection, and no more.
take
This is a simple transducer: it takes a number n, and it returns a collection with the first n elements from the input collection in it.
take([1, 2, 3, 4, 5], 3); // -> [1, 2, 3]
take('hello world', 7); // -> "hello w"
take
is a very useful transducer when working with infinite iterators; they can take one as an input and provide a finite iterator as output. That will be discussed later when we talk about iterators.
takeWhile
takeWhile
works like take
in that it returns the first elements of the input collection. But instead of returning a set number, it takes a function and returns input elements until the first element that returns false
when the function is invoked with it.
const even = x => x % 2 === 0;
takeWhile([2, 4, 6, 1, 2, 3, 4, 5], even); // -> [2, 4, 6]
This transducer is very similar to filter
, except that once an element returns false
from its function, it will return no more elements, even ones that would return true
from that function. Compare a call to filter
with the same arguments.
filter([2, 4, 6, 1, 2, 3, 4, 5], even); // -> [2, 4, 6, 2, 4]
Like take
, since there comes a point where the transducer returns no more elements, takeWhile
can take an infinite iterator and return a finite one.
takeNth
This one's a little different — it takes a number n and then returns the first element of the input collection and every nth one after that.
takeNth([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 3); // -> [1, 4, 7, 10]
takeNth('hello world', 2); // -> "hlowrd"
Unlike the other taking transducers, this one will continue to return elements as long as the input collection continues, so it will not return a finite iterator if presented with an infinite one.
Dropping transducers are the inverse of taking transducers: they initially reject elements from the input collection until a condition is met, and then all of the rest are returned.
drop
The inverse of take
, this transducer removes the first n elements from the input collection and return the rest.
drop([1, 2, 3, 4, 5], 3); // -> [4, 5]
drop('hello world', 7); // -> "orld"
dropWhile
The dropping analogue of takeWhile
, this transducer takes a function and rejects all of the input elements until the first one that makes the function return false
when invoked with it.
const even = x => x % 2 === 0;
dropWhile([2, 4, 6, 1, 2, 3, 4, 5], even); // -> [1, 2, 3, 4, 5]
This isn't too different from reject
, except that once a value returns false
from the function, no more elements will be removed even if they would also make the function return false
. Compare a call to reject
with the same arguments.
reject([2, 4, 6, 1, 2, 3, 4, 5], even); // -> [1, 3, 5]
Distinctness transducers remove repeating elements of an input collection.
distinct
This simple transducer doesn't take any arguments. It merely removes consecutive elements of the same value. Equality is determined using SameValueZero, which is the same as ===
except that NaN
is equal to itself.
distinct([1, 5, 2, 2, 4, 5, 3, 3, 2]); // -> [1, 5, 2, 4, 5, 3, 2]
distinct('hello world'); // -> "helo world"
distinctBy
Like distinct
, except that it takes a function of one argument that is passed each element in turn. The return values of this function, rather than the elements themselves, are compared for equality, and consecutive equal elements are removed. Again, equality is determined by SameValueZero.
The example here removes consecutive even elements and consecutive odd elements.
const even = x => x % 2 === 0;
distinctBy([1, 5, 2, 2, 4, 5, 3, 3, 2], even); // -> [1, 2, 5, 2]
distinctWith
distinctWith
takes configurability one step further, accepting a two-argument function. This function directly determines equality by passing consecutive elements to it. If it returns true
then the elements are considered equal and the second one is rejected.
The example code here rejects consecutive elements with the same number of digits (called magnitude).
const magnitude = x => Math.floor(Math.log(x) / Math.LN10 + 0.000000001);
const compare = (a, b) => magnitude(a) === magnitude(b);
distinctWith([17504, 2, 274, 105, 15, 21012, 770, 79239, 2058, 4462], compare);
// -> [17504, 2, 274, 15, 21012, 770, 79239, 2058]
Uniqueness transducers are like distinctness transducers, except that they don't limit themselves to checking consecutive values. A uniqueness transducer will remove duplicate elements even if they are not next to each other.
The examples for these transducers use the same arguments as the distinctness transducers above so you can see the difference.
unique
A simple transducer that takes no elements, this removes any equal elements aside from the very first one. Equality is determined by using SameValueZero.
unique([1, 5, 2, 2, 4, 5, 3, 3, 2]); // -> [1, 5, 2, 4, 3]
unique('hello world'); // -> "helo wrd"
uniqueBy
Like unique
, except that it takes a function of one argument that is passed each element in turn. The return values of this function, rather than the elements themselves, are compared for equality, and duplicate elements are removed. Again, equality is determined by SameValueZero.
const even = x => x % 2 === 0;
uniqueBy([1, 5, 2, 2, 4, 5, 3, 3, 2], even); // -> [1, 2]
uniqueWith
uniqueWith
takes configurability one step further, accepting a two-argument function. This function directly determines equality by passing each pair of elements to it. If it returns true
then the elements are considered equal and the second one is rejected.
The example code here rejects elements with the same number of digits (called magnitude).
const magnitude = x => Math.floor(Math.log(x) / Math.LN10 + 0.000000001);
const compare = (a, b) => magnitude(a) === magnitude(b);
uniqueWith([17504, 2, 274, 105, 15, 21012, 770, 79239, 2058, 4462], compare);
// -> [17504, 2, 274, 15, 2058]
Chunking transducers split their input elements into groups and return those groups. The groups themselves are always arrays, no matter what the type of the output collection around it. This does mean that some output collection types (like strings) don't make a lot of sense to use with these transducers.
chunk
Takes a number n and returns the input collection grouped into arrays of n elements. If there are not enough elements to fill the final grouping, then that array will be shorter than the others.
chunk([1, 2, 3, 4, 5, 6], 3); // -> [[1, 2, 3], [4, 5, 6]]
chunk([1, 2, 3, 4, 5], 2); // -> [[1, 2], [3, 4], [5]]
chunkBy
This transducer takes a function, to which it passes each element of the input collection in turn. If the return value is the same as for the prior element, then that element is put into the same chunk. When the return value changes, a new chunk is started.
This example uses chunkBy
on an array of the first few fibonacci numbers based on whether they're odd or even.
const fib = [0, 1, 1, 2, 3, 5, 8, 13, 21, 34];
const even = x => x % 2 === 0;
chunkBy(fib, even); // -> [[0], [1, 1], [2], [3, 5], [8], [13, 21], [34]]
These are the few transducers that really don't fit into any other category.
identity
The identity
transducer is the simplest of them all: it simply returns all of the elements from the input collection, unchanged. It is typically used in situations where a transducer needs to be specified but you don't actually want to change anything.
identity([1, 2, 3, 4, 5]); // -> [1, 2, 3, 4, 5]
identity('hello world'); // -> "hello world"
flatten
This transducer takes any input elements that are collections themselves and flattens them, making their elements into top-level elements. It's like flatMap
except without the mapping part.
Remember that strings are collections; this explains the flattening behavior of the second example.
flatten([[1, 2], 3, 4, [5]]); // -> [1, 2, 3, 4, 5]
flatten('hello', 'world'); // -> ["h", "e", "l", "l", "o", "w", "o", "r", "l", "d"]
repeat
Does exactly what it says it does: it repeats each element of the collection n times in the output.
repeat([1, 2, 3, 4, 5], 2); // -> [1, 1, 2, 2, 3, 3, 4, 4, 5, 5]
repeat('hello', 3); // -> "hhheeellllllooo"


US: Broad based softness in consumer spending – RBS
by Sandeep KanihamaAnalysts at the Royal Bank of Scotland note that the US retail, excluding volatile items like autos and petrol, rose a modest 0.1% in October after a 0.1% decline the previous month.
Key Quotes
“The softness was broad-based - seven out of thirteen categories fell, hinting at softer activity in Q4. Weakness was most evident in clothing and furniture sales.”
“Throw car sales into the mix, which fell 3.7%, and the picture looks even weaker. Could US demand for big-ticket items be cooling? Still, despite the weaker readings the household sector looks set to remain the main source of growth for the US economy, keeping the Federal Reserve on the sidelines, at least near-term. Retailers will be hoping for a Black Friday blowout.”


New Hampshire’s 2020 election results look a little odd. The state voted for the Democratic nominee, as it has done in the past five presidential elections, and reelected its all-Democratic congressional delegation. But the state government is now deep red: the Republican governor cruised to an easy reelection and the GOP took back control of both chambers in the state legislature.
At the state level, three institutions matter: the governor, state senate, and state house (sometimes called assembly). If a party controls all three, like Republicans in New Hampshire do, it has a "trifecta" and can pass laws without support from the other party.
In the 2020 election, Democrats won the presidency and both chambers of congress, but Republicans won more control at the state level:
Twenty-three states, amounting to 41% of the U.S. population, have a Republican governor and a Republican majority in the house and senate. Democratic trifectas govern only fifteen states, amounting to 37% of the country. In the remaining states, control is split, with neither party controlling all three institutions, although Republicans have an edge in most of these cases.
Nebraska has a single nonpartisan legislature and is counted as split control in this analysis, although it is effectively controlled by Republicans.
If we arrange states from left to right according to their vote in the 2020 presidential election, we can see that New Hampshire is the most extreme case, although there are other states that voted for Joe Biden but where Republicans have full or partial control at the state level.
Part of this is due to Donald Trump's weakness as a candidate: on the whole, state-level Republicans got more votes than the former Preident. But it is also a result of gerrymandering, where the party in control of a state government draws district boundaries in a way that gives their candidates an advantage.
Overall, Democrats control most left-leaning states, and Republicans control most right-leaning states. But it wasn't always this way—this map may not be surprising to us in 2021, but getting to this point was a multi-generational GOP project.
The past half century shows a pattern of Republican gains at the state level, with two key elections taking the GOP from irrelevance to the dominant position it holds today.
After the Watergate scandal in the 1970s, 27 states had a Democratic house, senate, and governor, with 62% of Americans living in these trifecta states. There was not a single state with trifecta Republican control.
Over the next two decades, Republicans made uneven gains, although Democrats still held an edge at the start of 1994. In the midterm election later that year, the GOP pushed its Contract With America, criticizing President Clinton for taxing and spending.
The election was a wave, and was dubbed the Republican Revolution. The GOP won trifecta control in 11 states, and made gains in the south that were part of a long-term realignment of the region. When state governments began their sessions in 1995, Republicans held more power than Democrats for the first time since the 1970s.
By the start of 2010, Democrats had regained some ground and were riding high at the national level, with a supermajority in the senate which had just passed President Obama's signature health care legislation.
Republicans decided to invest heavily at the state level in the 2010 election. The Republican State Leadership Committee, the GOP’s fundraising arm focused on the states, invested $32 million, a 50% increase over their spending in the 2008 cycle. By contrast, the Democrats' committee spent only $11 million, a decrease from 2008.
The result was an electoral massacre reminiscent of 1994. Republicans gained control in states across the country but especially in the midwest and south. After 2010, the GOP controlled trifectas in 20 states, amounting to 44% of the population. Like 1994, their breakthrough came in a midterm election during a Democratic presidency.
In 2020, hoping to avoid the mistakes of 2010, the Democrats' state committee launched a "Flip Everything" campaign and raised over $50 million for state races, far more than in previous cycles. President Trump was polling poorly, and hopes were high for a blue wave.
The result was a bitter disappointment for Democrats, as Joe Biden won the popular vote by 7 million votes but they failed to flip anything at the state level. In fact, the only changes in control in the states were Republicans winning the Montana governor's race and taking the New Hampshire house and senate.
While most attention was focused on the presidential race, the 2020 state elections were of critical importance because of the upcoming redistricting process, which only happens every ten years. Once per decade, states draw new boundaries for legislative districts, a dry-sounding event with enormous implications.
While districts should be drawn impartially, the controlling party can use gerrymandering to draw boundaries so that it wins more seats than it would otherwise. This means state governments can create an uneven playing field that helps one party, both in the state's legislature and in the U.S. Congress.
This is why the state results in 2010 and 2020 were so devastating for Democrats. Republicans' victory in 2010 came just in time for the redistricting process, which they used to set boundaries so that they can win control of the House of Representatives even if Democrats win more votes. In 2020, they maintained their dominant position.
In some cases, the GOP's success was a direct result of past gerrymandering. Republicans' 2020 wins in New Hampshire were due in part to the boundaries they drew after winning in 2010. Democrats will have to wait another decade for their next opportunity.
Party control of state governments comes from Carl Klarner and from the National Conference of State Legislatures. Population data comes from the U.S. Census Bureau. Presidential vote data comes from the MIT Election Data and Science Lab. This Washington Post article provided inspiration.
© Copyright 2021 Will Merrow


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We have educated the activists about our pro-life feminist history.
We have educated the students.
And we have worked with university administrators during FFL Pregnancy Resource
ForumSM.
But no one, not even FFL, has taken on the task of educating the educators about
our rich, feminist history


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Here is a big block of text illustrating the usage of the text-align justify setting. As you can see it stretches the white space between the words so that the left and right edges of the paragraph fit well within a box. This can help your text look cleaner than a simple left alignment. Note that it does not stretch out the final line in the paragraph.


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