'Klopp out' - Liverpool fans fearing the worst ahead of Aston Villa Carabao Cup clash
Villa face, what promises to be, a youthful Liverpool side in the Carabao Cup quarter finals, but their preparations aren't going well
by Ben Husband, https://www.birminghammail.co.uk/authors/ben-husband/Aston Villa fans will be feeling a little more confident after Liverpool's U18s were thrashed by West Bromwich Albion.
Dean Smith's side will face what promises to be an inexperienced Liverpool team in the quarter final of the Carabao Cup in December.
The European Champions will be forced to implement a number of their academy players, with the first team participating in the Club World Championships at the same time.
Jurgen Klopp is set to give U23s boss Neil Critchley touchline duties vs Villa , with his attentions solely placed in Qatar.
The Merseysiders have used a number of youngsters in previous rounds and may be forced to use even more on December 17.
But Liverpool fans on social media are not looking forward to that proposition after the Anfield development squad were beaten 6-3 by Albion on Saturday.
Two of the players that were on the bench for their fourth round win over Arsenal played in the game, where the Baggies scored six goals in less than half an hour.
Aston Villa latest
This is your round up of all things Villa; the one-stop shop that will keep you updated on the latest goings on at the club and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Villains throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- 'Playing in the wrong division' - Pundit hints at Aston Villa transfer mistake
- All change - why Liverpool XI to play Aston Villa in Carabao Cup may not be as young as we first thought
- 'The noise' - Dean Smith's Wesley verdict that Aston Villa fans will love
- ‘Can we ask?’ - Liverpool boss Jurgen Klopp makes this offer to Aston Villa
- 'Out of gas' - Dean Smith issues injury update ahead of Aston Villa's trip to Wolves
For all your latest AVFC news, opinion, analysis and transfer gossip, click here
You can follow our Villa reporter Ashley Preece on Twitter, and his email address is<EMAIL_ADDRESS>Liverpool fans react to Albion's thumping win - weeks ahead of Villa clash
@AbbiHedleyy: we are screwed against villa if we are playing these lads
@AhmedLFC: Our youngsters can't even beat West Brom's youngsters... we're getting slapped by Villa
@McLovrenIt: poor form heading into their carabao cup game with villa
@Amehta_: Klopp out
@AoDTGNB: The Carabao cup squad isn’t looking too promising
@MitkowM: Okay we are out of Carabao
@CurtisJonez_SZN: Carabao cup team looking promising
@Unbearablereds: Congratulations to Aston Villa for advancing to the semi finals of the Carabao Cup


DBC Week 8 Technical Blog Post
How does the Internet Work?
March 28, 2015
The history of the internet begins in the 1950s with the development of the electronic computer. The US Department of Defense awarded contracts as early as 1960s for the development of ARPANET, the first network to use the Internet Protocol. The first message sent over ARPANET was from the computer science laboratory at UCLA to the econd network node at Stanford. However, the internet that we see today is most similar to the World Wide Web invented by Tim Berners-Lee in 1990. The web created a common means of accessing data online in the form of websites and hyperlinks, thus allowing the public to access huge amounts of information on a faily basis. So how does the internet work? The internet is a global collection of networks of varying sizes. These networks connect together in many different ways to form the single entity we know as the Internet. There are many ways to connect to the internet. Most of us use a modem to connect to an ISP (Internet Service Provider), which are connected to each other through NAPs (Network Access Points). You can also form LAN (Local Area Networks), which are just a group of computers that are connected together locally. This can be used for playing games together locally or by business who work on the same network. All of these networks rely on NAPs, backbones and routers to talk to each other. Routers determine where to send information from one computer to another, each machine on the internet has an unique IP address which can be the destination for information to be sent. Backbones are typically fiber optic trunk lines and are strategically interconnected computer networks and core routers on the Internet. When the internet was a smaller collection of computers, there were relatively few links and you could access them with their IP address directly. However, this soon became inconvenient as more and more users joined the World Wide Web. We developed DNS (Domain Name System) to map text names to IP addresses automatically. This way you can type www.google.com instead of typing Google's IP address. The Internet is made possible through the support or servers. Servers are essentially machines that provide services to other machines. All of the machines on the internet are either servers or clients. When you go to google.com you are using a client machine (your computer) and accessing Google's servers. Google's server machines will find the page you want and send it to you allowing you to access it.


Art Title Art Description Category Painting Photography Sculpture Print Drawing Digital Art Upload art: Cancel Add


Leancamp Brussels
By Frederik Vannieuwenhuyse
From 10:00 to 18:00
Focus on Lean Startup, Design Thinking, Lean UX and Agile Development
LeanCamp is an Open Conference where the worlds of Lean Startup, design thinking, lean innovation, agile and customer experience are connected. This format is famous across the world for its unleashing of crossovers, knowledge and creating a vibe in the startup community. And now for the first time in Belgium! Let’s show that we care about a more entrepreneurial spirit in Belgium and join Lean Camp or at least share this event! It is an UNCONFERENCE meaning that you are responsible for what you get out of it. You set the agenda.
Leancamp is organized in cooperation with:
Lean Startup Circle Belgium
Antwerp Business Community
This event ended, stay in touch with us on the next one!
Thanks you for your interest.
We'll be in touch soon,
Leancamp Team
Schedule
10:00 - Walk in with coffee and registration
10:30 - Opening and session planning
11:00 - Leancamp with 45 minute sessions
12:30 - Lunch
13:00 - Additional session planning
13:30 - Sessions continue
16:00 - Joint closing session
17:00 - Drinks and snacks
Venue
Silversquare Europe
Silversquare Europe is located on the very prestigious Square de Meeûs, at the heart of the EU District and 200 meters away from the EU Parliament and the Luxemburg train station.
Open Location in Google MapsAmbassadors
Carl Danneels
Expert in Lean Start-up & Scale-up implementation. He is a coach at Fit4Start and Senior Advisor of Participium. Carl is also an entrepreneur himself, owning a real estate chain of sustainable apartments that have been designed & marketed according to Lean Startup principles.
Robbert van Geldrop
Robbert van Geldrop is an entrepreneur and software developer. Robbert also founded the first Lean Startup Circle meetup group in continental Europe. As such he’s enrolled as a mentor at many Dutch accelerator programs, including YES!Delft, Rockstart, Utrecht Inc, Startup Weekend and more.
Nick Boucart
Curator at Hockey Stick Weekly and coach at Sirris. My background as a developer helps me understand the technical implications of putting a software product in the market.
Senior Business Mentor
A very well respected entrepreneur and Business Mentor – He brings to Leancamp over 18 years of experience in Business and International Business. He is an entrepreneur himself, owning a regulated investment company, a Cybersecurity & AI company, a well-established Coffee supplier in the FMCG Market to name a few.


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%(family_id)s-%(rank)s: %(uniprot_ac)s/%(start)s-%(stop)s - %(description)s
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How to play
1. Your Goal
2. Coin Economy
3. Unit Upkeep
4. Attacking and Defending
5. Merging Units
6. Stranded Units
7. Rebellion
8. Rivals
9. Time Travel
10. Summary
Advanced topics
Walls and Retreat
Multi-Town Provinces
Bandits and Bandit Camps
Advanced Controls
Visual Cues
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Zombies
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IEEE Racing Team
Competing at the forefront of automotive racing.
Join IEEE Racing to get hands on experience, drive the kart, boost your CV, and make your network.
Contact us at<EMAIL_ADDRESS>with questions.
Join us on Discord for information.
Leadership
Meenu Ramakrishnan
Data Science and Linguistics
Racing Chair


Julien Homble
Start Bootstrap can help you build better websites using the Bootstrap CSS framework! Just download your template and start going, no strings attached!


Welcome
Home
MUSIC
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Ali Bahrami
[About me]
Electrical Engineer
System Administrator
Computer Geek
Programmer
Skills
python
c++
Systems Administrator LPIC1 - LPIC2 - Bash scripting
Network+ security
chad lawson
·
Chopin Nocturne in F Minor-Op. 55, No 1 (Variation) Piano, Violin, Cello - Chad Lawson


About Me
Kevin Duong is a Southeast Asian do-gooder raised in San Gabriel Valley, but now reps East Los Angeles.
He writes grant checks for nonprofits by day and codes at night. Kevin's daytime job at a family foundation is to provide support and funding to local nonprofits in Los Angeles County.
His passion for coding and technology ignited when he was introduced to Teen Xploring Technology (TxT).
TxT is a nonprofit organization that offers boys of color in South Los Angeles the skills in developing applications in technology for their urban communities.
Inspired by the youths' abilities to lead, manage, and develop products to change their local communnities; Kevin enrolled into one of the top coding institution in Los Angeles -- UCLA Extension's Intensive Coding Bootcamp.
Kevin is a boba and burger aficionado. He also wants a farm of dogs when he retires one day.


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Chen-Yuan Hsu, Li-Yi Wei, Lihua You, Jian Jun Zhang
SIGGRAPH Asia 2018 Technical Briefs
A user interface for interactively brushing elements over 2D planes, 3D surfaces, and 3D volumes with partially or fully specified orientation fields assisted by automatic synthesis.A new version of the method is described in a CHI 2020 paper.


Track Name
Artist
Album Name
Release Date
Genres
Album Cover
Audio
"BLEACH"
December 15, 2017
- Hip Hop
- R&B
"All I Need"
October 10, 2007
- Alternative Rock
"If You're Too Shy (Let Me Know)"
May 22, 2020
- Pop
- Rock
- Electrnoic Pop
- Dance
"Collar Full"
October 8, 2013
- Alternative
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"Trouble"
July 10, 2000
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"One"
September 8, 1988
- Pop
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"Talking To"
June 29, 2018
- Pop
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"Better Better"
December 6, 2017
- Pop
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"Narcissist"
August 28, 2018
- Alternative
- Indie
"Cautious"
January 28, 2019
- Rock


Command Line¶
jgvt requries JRE8+ to run. The typical usage is just run the jgvt jar in the git repo directory.
In general, the default memory setting is good enough. jgvt can compute and display a 10K-commit repo tree without requiring additional memory.
Command Line Options¶
The options are mostly for debugging purposes.
usage: java -jar jgvt.jar [options] [repo directory]
-b,--branch list branches
-d,--debug print debug messages
-h,--help print this message
-s <arg> specify the last commit of the main branch
-t,--tag list tags
If the repo directory is not specified, the current directory is used.
Shell Script Launcher¶
#!/bin/sh
exec java -jar jgvt-1.0.0.jar $@ &
Windows Batch Command¶
@echo off
start /b javaw -jar jgvt-1.0.0.jar %*


{% extends "base.html" %} {% block title %}
Medieval catalogues > SECULAR INSTITUTIONS: Hospitals, Towns, and the Professions > York, St Leonard > Bequest by John de Stokeslay, 10 August 1400
{% endif %}2 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


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Many seasoned data reporters have spent years mastering tools like Excel, Access or Refine to clean and analyze data. Allow us to explain why Python can replace all of those tools and make your work faster, easier and better.
»
Every new discipline has tools that you need to be familiar with to get
started. Those tools in Python are Anaconda and IPython Notebooks. This
section introduces you to those tools.
»
Pandas, Python's data analysis library, is where you're going to spend
most of your time manipulating and interrogating data. This section
introduces to its core concepts and shows you have to do some of the
things you're probably already familiar with in spreadsheets.
»
Now that you've got your feet wet with Pandas, it's time to dig into some
of the features that you can't do with spreadsheets. This section shows
you how to clean-up, transform, and ask hard questions of data.
»
So far we've dealt with raw data and output it mostly in tabular form.
Visualizations provide an entirely new understanding of the data, one
that might not be obvious from plain tables. This section introduces you
to matplotlib and bokeh, two of the tools that let you turn you data
into plots and charts.


I bought a decent chunk of salvia the other day, and the vendor threw in a sample of 'lion's tail.' Ordinarily, I wouldn't bother trying something of its description, as I've been disappointed by virtually every substance claiming to be a legal alternative to marijuana. But of course, this was free, so once I had a little time to kill, I decided to smoke the entirety of the sample bag.
The bag itself contained dried flowers with a faint scent. I packed the first bowl and was pleasantly surprised by the agreeable flavor of the smoke. After eight minutes, and another bowl and a half, I was in more or less the same state, though I did notice that things started smelling very good to me.
[Erowid Note: Driving while intoxicated or tripping is dangerous and irresponsible because it endangers other people. Don't do it!]
Fifteen minutes later I left to pick up my girlfriend from work. Turn signals from the cars in front of me were noticeably brighter and more annoying than usual, but nothing else seemed different. On the other hand, when I actually reached my destination and started talking to my girlfriend, I noticed my mood had improved vastly, and I was thinking much more clearly than usual (and consequently talking faster, and with more precision). Where I ordinarily would be grumpy (the topic of our conversation was a family problem that seems to never go away), I was now a buddah... detached, but emotionally invested. The rest of the evening went nicely, though the primary mood effects probably waned after a couple hours.
Conclusion: Very enjoyable substance to smoke, with unexpectedly potent mood-enhancing qualities. I will be ordering a large quantity of this in the near future.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


If you have ever cooked using a recipe, then you can understand functions in JavaScript
Functions are one of the key pieces of any programming language. But, if JavaScript is your first language, it can still take a little bit of effort to get used to their syntax and the different possible inputs and outputs.
As you perhaps know already, the CodeAnalogies site is dedicated to teaching web development with analogies. But, there is one common analogy that every uses for functions: recipes from a cookbook!
So, I am going to build off that analogy and use a couple interactive diagrams to make each part as clear as possible.
In order to understand this tutorial, you will need to understand variables in JavaScript first. Check out my guide to variables here if you need to.
Let's think about the general concept of cooking with a recipe first. Using a recipe means that:
A function is also a reusable recipe that performs the same set of actions over and over again on a set of ingredients.
Those ingredients are called parameters . You can see them in the diagram below.
Some functions return a value. That means that they give you a new value that you can then use throughout your script. Other functions do not return a value. Instead, they might change a value that already exists in your script. Think of it like chopping onions. There is no "new" product, just the same product in a new format.
Check out the example below to see the general layout of a function. In this example, we are declaring a makeSandwich function. It does return a value- a full sandwich. In other words, we are documenting the recipe on how to make a sandwich.
Let's get into the first example. Let's say that you are trying to write a function for boiling water. In this example, we are going to start with some pasta, water and a pot. Since we are not really creating anything new, there will be no return value in this one. Here is what the function looks like.
So, in order for the sentence to make sense, the parameters water and pot must be numbers, while the parameter pasta must be a string.
Now we have a recipe for boiling water. Groundbreaking stuff, I know. But we have only declared the function. Now, we need to call it in order to get the water boiling. That has a different notation. It strictly uses the function name.
Here is a full example. We are going to boil spaghetti in 30 ounces of water in a 120 ounce pot. Hover or click on each part of the function to learn more about each part.
Since the last line is where we call the boilWater function, you want to start reading from there to learn what values will be fed into the function. The final result is:
"We are going to boil 30 ounces of water with spaghetti in a 120 ounce pot"
One quick note. Did you notice that we introduced a new term here? We introduced the argument . The argument is the value that is being used when we call the function.
This is the difference- the three parameters are non-negotiable. Water. Pasta. Pot. But the volume of water? The type of pasta? The size of the pot? You can change those. Those are the arguments.
Unlike the boilWater recipe, many functions have a return value. That means that they output a single value, array, object or other function. They don't just change the variables that already exist in your script.
We are going to create a makeSandiwch function that will take three parameters- a meat, a vegetable and bread. It will output a completed sandwich. Each one must be a string. Pretty straightforward. Here is that function.
We are going to do two things differently than the boilWater example when we execute this function. First, we need a new variable to store the final sandwich that we have after the return line. We will call that hamSandwich (there's a hint about the ingredients)
But, when we call the function, we are going to use variables as arguments . In boilWater, we directly inputted values when we called the function. We are going to use variables to better show the flexibility of the makeSandwich function. You can make a sandwich with any variation of these three ingredients. In this case, we are making a ham sandwich with ham, lettuce and wheat bread.
Hover or click on each part of the code to trace the values.
When you start reading the interactive diagram above, you should start by looking at the second to last line, where we call the makeSandwich function and store the result in hamSandwich.
After seeing the three arguments, you should check out the variables at the top to see the actual values we are using.
Finally, you should look at the function declaration to see how those three arguments are modified into the final product- sandwich. Here is another diagram.
Check out the rest of the CodeAnalogies tutorials on HTML, CSS, JavaScript if you enjoy this teaching style.


digraph module
Using a directed graph to represent the steps in a recipe.
The example is from Section 7.17 of Miller and Ranum’s book ‘Problem Solving with Algorithms and Data Structures using Python’ (http://interactivepython.org/runestone/static/pythonds/index.html).
Depth- or breadth-first traversal tells us which steps depend on a given one.
>>> set(recipe.visited_dfs('1 egg')) == set(recipe.visited_bfs('1 egg'))
True
The distance between an ingredient and eating is a lower bound on the number of sequential (i.e. non-parallel) steps needed to execute the recipe. For unweighted graphs, the distance can be computed in two different ways.
>>> recipe.unweighted_distance('1 egg', 'eat')
3
>>> recipe.weight(recipe.shortest_path('1 egg', 'eat'))
3


CSE day is a signature event for both the CSE Department and the Computer Science and Engineering Society. It is a day dedicated to both fueling the passion and education of students interested in Computer Science and Engineering and highlighting the broad opportunities available to those students, be it in industry or academia. Our goal is to show students the different paths available to them and teach them how to navigate those paths based on real world experience.
The event allows interested UCSD students to talk with recruiters, learn the secrets of the technical interview, see the cutting edge of the field, and, most importantly, have a glimpse into what may potentially be their future.
Mark your calendars for Thursday, January 22nd, 2015, and check the schedule below for more info about the events planned. Hope to see you there!
Coming Soon...
Address: Engineer Lane, University of California San Diego, San Diego, CA 92161 Location: Computer Science and Engineering Building (EBU3B), Room 1202 Parking: Look for Parking lots P502, P503, or P506 (See map below)
Questions, Comments, Concerns, or Complaints? Just want to say hi? Feel free to email us or contact us on social media.
cseday2015@weneedanemail.com


Appendix 4 – using dispel4py¶
Dispel4Py is a python library that allows workflows to be written that can easily scale to different sizes of computational resource, ranging from your own laptop, to a large parallel supercomputer. This means that you can devolve and test your workflow locally on your own machine before transferring the workflow to a much larger computer to process a large amount of data.
In seismology this could be particularly useful for performance calculations with very large data sets, such as noise correlation. Dispel4Py is used widely in the VERCE portal in the pre- and post-processing workflows that are implemented there. This toolbox is especially useful for any seismologist who is looking to speed up a data application.
Figure A4.1: The Dispel4Py logo.
A4.1 Installing Dispel4Py¶
Firstly please ensure that you have an up to data version of Python installed as described in appendix one. You can then install Dispel4Py and its dependencies (such as MPI) as described below.
Installing dispel4py: Dispel4py can be installed using the command,
pip install dispel4py
Full instructions for installing dispel4py can be found at,
Installing MPI and mpi4py (optional): If you wish to explore the parallel mapping of dispel4py to MPI you may want to install these on your machine. Different implementations of MPI are available, for example Open MPI or MPICH2. Depending on your operating system MPI can be installed through the software manager. You can then install mpi4py with the command:
pip install mpi4py
Full instructions can be found at:
A4.2 Using Disple4Py¶
A full tutorial describing how to create workflows and perform sequential and parallel processing using Dispel4Py can be found at the link below.
http://www2.epcc.ed.ac.uk/~amrey/VERCE/Dispel4Py/
For more information on the basic principles of Dispel4Py please see the following presentation.
http://www.verce.eu/Training/UseVERCE/2015-7-VERCE-dispel4py-basic.pdf
An advanced introduction for those who wish use Dispel4Py to create workflows for their own applications can be found at the link below.
http://www.verce.eu/Training/UseVERCE/2015-7-VERCE-dispel4py-advanced.pdf
Figure A4.2: An example of a workflow to perform a cross correlation of seismic noise data


By Bus, road or train:
Digha is a 4-5 hr journey by bus from Kolkata. There are regular and frequent services to Digha from the Bus Terminus (Route 6) in the Garia suburb of Kolkata. Buses run 04:00-08:30 and there is also an afternoon bus service from the same state transport depot. Service is regular and residents from Jadavpur, Tollygunj, Rajpur, Sonarpur can easily use the good service. There are also frequent bus services to Digha from the Dharamtala bus stand of Kolkata and many other parts of West Bengal.
It is advisable to make reservations in advance for weekends and national holidays. Three trains run daily from Howrah Railway Station at 06.40 (Tamralipta Express), 11.15 (Duranto Express) and 14.40 (Kandari Express) daily. Sometimes special trains are announced on special occasions and holidays. Notices for such trains are to be found on widely circulated newspapers. A journey by Duront Express (12847) leaving Howrah at 11.15 can be a great experience. The return times are 10.25, 13.35 and 18.20 respectively. On Saturdays, The Paharia Express comes from new Jalpaiguri and halts at Howrah. This train is often quite empty and very comfortable to travel on. There is a local train from Shalimar (Near Howrah) to Digha though the timing is not good. Also there may be some special trains. From 1 July 2011, Indian Railways launched 4 special trains from Puri (W 23:35 & Sa 23:35), Malda Town (Sa 08:10), Vishakapatnam (Th 17:50). . Now due to work on the 2nd rail line work in the route howrah to digha all the trains getting late upto 4 to 5 hours. so always take your time. and choose ur path of tour.
If you have arrived by train at NJP, you can take a taxi or shared jeep to reach Darjeeling from the booking counter at the taxi stand in front of the railway station. There is also a prepaid taxi stand in front of the train station. Note that if you arrive too late for the jeep to make a return journey from Darjeeling, you may end up paying more
There are many cheap "rice hotels" all over Digha, serving cheap, but good quality Bengali dishes. There are some more expensive restaurants where continental food is available. In an average restaurant, a vegetarian meal is available for ₹70-90, Bengali fish curry-rice is available for ₹70-150. A meal with egg curry-rice is available around ₹75. Another great idea would be to just buy the staple vegetarian fare at the hotel you are staying and have it delivered to your room. You can buy fresh fishes like ilish, pomfret, parshe and prawns from Mohona, Digha fish market in the morning and have it cooked at the numerous "Dada-Boudi'r" joints around Sea Hawk. Have this fish with your standard vegetarian lunch or dinner. In the evening look for fried fish on the sea front in Digha. Those who are fussy about the quality of cooking, have transport at their command and are looking for tasty fish preparations should go and have lunch at Shankarpur, some 14 km away - they prepare the fish much better than at Digha. The quality at Shankarpur is comparable to the Kolkata 5 star but is comparatively cheaper and the fish as fresh as you can demand. The trouble of travelling would be well compensated.


by Zach Piatt
by Zach Piatt
Up two, 13 seconds left. The pass goes inside to center Felton Spencer. Louisville is trying to tie the game up by giving the ball to its 7-foot leading scorer.
Ball State’s center Curtis Kidd contests the shot with arms extended high. The ball bounces high off the glass and hits the rim before it’s snatched out of the air by soaring guard Chandler Thompson. Louisville is forced to foul with seven ticks remaining.
Thompson steps up to the line after a timeout. He misses off the back of the iron. The rebound goes to Spencer.
Six. Spencer hands the ball off to guard Keith Williams.
Five. Williams accelerates toward midcourt.
Four. He crosses the timeline and cuts to the right wing.
Three. He passes to guard Everick Sullivan in the right corner.
Two. Sullivan lets a three-pointer fly for the win.
One. The ball hangs in the air as the crowd lets out a gasp.
Zero. It clangs off the rim, and the 12 seeded Ball State Cardinals celebrate a 62-60 win to put them in the Sweet 16 for the first time in school history.
The Cardinals went on to drop their following round matchup 69-67 to eventual National Champion UNLV. To this day, the 1989-90 Ball State Men’s Basketball team stands alone as the only one in Cardinal history to make it past the first two rounds of the NCAA Tournament.
Thompson, a sophomore during the 1989-90 season, described the team as a brotherhood. Even now, 29 years later, he said the bond between every player is still as strong as it was when they played together.
“We are brothers,” Thompson said. “We could call each other right now and shoot the breeze with each other and just have a ball.”
The team consisted of eight men from Indiana, seven from surrounding states and one from Wisconsin. Of the nine seniors on the roster, five hailed from the Hoosier state.
Then-senior Greg Miller said everything the team did was geared toward the betterment of the group. Nobody was more important than the team. He added that Ball State Basketball was a family, and even those who came from out of state were welcomed with open arms.
“The neatest thing about that group was the guys from other places became a part of us and a part of our group,” Miller said. “That probably helped our team be as strong as it was and be as successful as it was because nobody had to look over their shoulder. We would walk, and think, and play and run all in the same direction.”
With this tight knit group, then-senior and team leader Paris McCurdy said nobody realized the same team wasn’t coming back the next year until after the excitement in Muncie died down.
“We were having such a great time that season,” McCurdy said. “The time flew by so fast that I don't believe any of us actually thought about it being the last go of it.”
The seniors didn’t just leave teammates behind after graduation; they left brothers. “I know that I personally wished that I could have played with the group we had all four years of my eligibility,” said McCurdy.
The Cardinals went 29-3 in the 1988-89 season, the year prior to their historic run. They were rewarded with a No. 9 seed in the NCAA Tournament and defeated Pittsburgh for their first tournament victory in school history. That team also won the Mid-American Conference regular season as well as the MAC Tournament.
Thompson said the Cardinals snuck up on the nation that year and finally showcased what they could do.
Glancing at the roster, Ball State nearly had the same team coming back. However, the coaching staff looked a bit different, as Dick Hunsaker was promoted to head coach after Rick Majerus departed for Utah.
Still, with 11 players returning the following year, the expectations were high.
“I think it's safe to say that everyone was hoping for a repeat,” McCurdy said. “After we got through the preseason adjustment with the new head coach, we knew we had a special group. We had a lot of unity and love for one another, and with that combination, we wanted to work hard for each other, and we did.”
If everyone wanted to repeat, it showed in their performance. The Cardinals went 26-7, won back-to-back MAC regular seasons and tournaments and made another trip to the big dance.
“Our senior-led group—they were ready to make that run again and have a better season,” Thompson said. “They all went out with a purpose. They were competitive. They competed every day in practice.”
The 1989-90 Cardinals became the first MAC team to ever win consecutive conference championships and tournament titles. Even with all the records and recognition, Miller said the best part of it all came after the season ended.
“Knowing what we were about to encounter in Muncie was more eye-opening and fun for us,” Miller said. “I think being able to do what we did and be able to celebrate with Ball State University and our community was probably the most enjoyable thing.”
Contact Zach Piatt with any comments at<EMAIL_ADDRESS>or on Twitter @zachpiatt13.


Friends search:
Hide my profile from the friens search.
Private account:
Proteger mi perfil.
Can watch my profile at most:
Only friends
Friends of friends
All


What Is Telegram?
The Telegram allows users of smartphones and tablets to send free instant messages with large volumes of photo and video files, users also have the opportunity to organize multi-chat with up to 100 people.
All user accounts, applications are tied to phone numbers. During registration, as well as with all the following connections of new devices, a check is carried out, in which by sending SMS with a code for checking. The resulting code allows you to log in to the application. Getting started with the app is easy! You can start registering in the Telegram right now.
In the new Telegram, all users have the opportunity to search for images on the Internet. For example, if in a conversation, you want to attach a picture with a certain frame, this can be done in seconds, simply by entering the corresponding query in the search. Download the new Messenger Telegram, and share with your friend's funny pictures, music updates, and huge text messages.
{% for post in site.posts %}


CHAPTER THREE. PARSING
%{
int yylex(void);
void yyerror(char *s) { EM_error(EM_tokPos, "%s", s); }
%}
%token ID WHILE BEGIN END DO IF THEN ELSE SEMI ASSIGN
%start prog
%%
prog: stmlist
stm : ID ASSIGN ID
|
WHILE ID DO stm
|
BEGIN stmlist END
|
IF ID THEN stm
|
IF ID THEN stm ELSE stm
stmlist : stm
|
stmlist SEMI stm
GRAMMAR 3.31.
Yacc version of
Grammar 3.30.
Semantic actions are omitted
and will be discussed in
Chapter 4
.
Consider
Grammar 3.30.
It can be encoded in Yacc as shown in
Gram-
mar 3.31.
The Yacc manual gives a complete explanation of the directives
in a grammar speciﬁcation; in this grammar, the terminal symbols are
ID
,
WHILE
, etc.; the nonterminals are
prog
,
stm
,
stmlist
; and the grammar’s
start symbol is
prog
.
CONFLICTS
Yacc reports shift-reduce and reduce-reduce con°icts. A shift-reduce con°ict
is a choice between shifting and reducing; a reduce-reduce con°ict is a choice
of reducing by two different rules. By default, Yacc resolves shift-reduce con-
°icts by shifting, and reduce-reduce con°icts by using the rule that appears
earlier in the grammar.
Yacc will report that this
Grammar 3.30
has a shift-reduce con°ict. Any
con°ict is cause for concern, because it may indicate that the parse will not be
as the grammar-designer expected. The con°ict can be examined by reading
the verbose description ﬁle that Yacc produces.
Figure 3.32
shows this ﬁle.
A brief examination of state 17 reveals that the con°ict is caused by the
familiar dangling
else
. Since Yacc’s default resolution of shift-reduce con-
°icts is to shift, and shifting gives the desired result of binding an
else
to the
nearest
then
, this con°ict is not harmful.
70


OAuth - Response
Your OAuth client did not provide a redirect URI. Supply this value or the QR code to your client:
OAuth Authorization Code: @OAUTH_CODE@
Your OAuth client did not provide a redirect URI. Supply this value or the QR code to your client:
OAuth Authorization Code: @OAUTH_CODE@


It has long being known that a diet that includes at least a few servings offresh fruits every day will help keep you healthy, fit and trim.


[1]
a locking screen doors leaving the door handle.
[2]
a locking screen doors closed and presumed locked.


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{{ eligibilityLastName | uppercase }},
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must log in to their profile using the BC Services Card app to be
eligible.
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does not have a B.C. postal code and is not eligible for
e-Transfer
Interac e-Transfer is not currently available.
{{ eligibilityLastName | uppercase }},
{{ eligibilityFirstName | titlecase }}
is eligible for e-Transfer


Welcome to Apache Savan/C
Savan/C is a C implementation of WS-Eventing specification published by
IBM, Microsoft, BEA and TIBCO. Savan/C is built on top of Axis2/C. Therefore
by using Savan/C you can add ws eventing capability to the web services
hosted using Axis2/C. Savan was designed as a general Publisher/Subscriber
tool. The arcitecture was designed to abstract the general Pub/Sub features
so that people could support more than one Pub/Sub mechanism within the same
infrastructure. Initially support is provided for WS-Eventing. It is planned
to implement some support for Atom as well.
Latest Release
Savan 1.0 will be released soon.
Key Features
- Support for WS-Eventing Specification August 2004.
- Support for Subscribe, Unsubscribe, Renew and GetStatus operations.
- Support for subscription management endpoint which could be the Event
Source itself or separate subscription management endpoint.
- Pluggable storage managers. Currently support three storage managers
namely
- Sqlite based embedded storage manager
- Service based storage manager.
- WSO2 registry based storage manager.
- Pluggable filtering support for server side. XPath content based
filtering is implemented
- Interoperability with Apache Savan/Java implementation.
- Interoperablity with WSO2 ESB/Eventing stack.
- Support for both SOAP 1.1 and 1.2.
- Comprehensive sample to test scenarios.
- Documentation
Major Changes Since Savan 0.90 Release
- Pluggable storage managers.
- Interoperability with Apache Savan/Java implementation.
- Interoperablity with WSO2 ESB/Eventing stack.
- Improved sample.
- Many bug fixes
- Improved Documentation
Apache Savan/C 1.0 is yet to be released.


Public Server Test
<IP_ADDRESS>:25586
Our server is located at: <IP_ADDRESS>:25586
This means the ip address is <IP_ADDRESS> and the port is 25586
To access the server go to multiplayer, direct connect and enter the location:
Note: Minecraft version is 14.4


The Star Wars Saga order
-
Ep.1
The Phantom Menance
Obi-Wan Kenobi (Ewan McGregor) is a young apprentice Jedi knight under the tutelage of Qui-Gon Jinn (Liam Neeson) ; Anakin Skywalker (Jake Lloyd), who will later father Luke Skywalker and become known as Darth Vader, is just a 9-year-old boy. When the Trade Federation cuts off all routes to the planet Naboo, Qui-Gon and Obi-Wan are assigned to settle the matter.
-
Ep.2
Attack of the Clones
Set ten years after the events of "The Phantom Menace," the Republic continues to be mired in strife and chaos. A separatist movement encompassing hundreds of planets and powerful corporate alliances poses new threats to the galaxy that even the Jedi cannot stem. These moves, long planned by an as yet unrevealed and powerful force, lead to the beginning of the Clone Wars -- and the beginning of the end of the Republic.
-
Ep.3
Revenge of the Sith
It has been three years since the Clone Wars began. Jedi Master Obi-Wan Kenobi (Ewan McGregor) and Jedi Knight Anakin Skywalker (Hayden Christensen) rescue Chancellor Palpatine (Ian McDiarmid) from General Grievous, the commander of the droid armies, but Grievous escapes. Suspicions are raised within the Jedi Council concerning Chancellor Palpatine, with whom Anakin has formed a bond. Asked to spy on the chancellor, and full of bitterness toward the Jedi Council, Anakin embraces the Dark Side.
 His peaceful existence comes crashing down when the evil Orson Krennic takes him away from his beloved family. Many years later, Galen becomes the Empire's lead engineer for the most powerful weapon in the galaxy, the Death Star. Knowing that her father holds the key to its destruction, Jyn joins forces with a spy and other resistance fighters to steal the space station's plans for the Rebel Alliance.
-
Ep.4
Star Wars (A New Hope)
The Imperial Forces -- under orders from cruel Darth Vader (David Prowse) -- hold Princess Leia (Carrie Fisher) hostage, in their efforts to quell the rebellion against the Galactic Empire. Luke Skywalker (Mark Hamill) and Han Solo (Harrison Ford), captain of the Millennium Falcon, work together with the companionable droid duo R2-D2 (Kenny Baker) and C-3PO (Anthony Daniels) to rescue the beautiful princess, help the Rebel Alliance, and restore freedom and justice to the Galaxy.
-
Ep.5
The Empire Strikes Back
The adventure continues in this "Star Wars" sequel. Luke Skywalker (Mark Hamill), Han Solo (Harrison Ford), Princess Leia (Carrie Fisher) and Chewbacca (Peter Mayhew) face attack by the Imperial forces and its AT-AT walkers on the ice planet Hoth. While Han and Leia escape in the Millennium Falcon, Luke travels to Dagobah in search of Yoda. Only with the Jedi master's help will Luke survive when the dark side of the Force beckons him into the ultimate duel with Darth Vader (David Prowse).
-
Ep.6
Return of the Jedi
Luke Skywalker (Mark Hamill) battles horrible Jabba the Hut and cruel Darth Vader to save his comrades in the Rebel Alliance and triumph over the Galactic Empire. Han Solo (Harrison Ford) and Princess Leia (Carrie Fisher) reaffirm their love and team with Chewbacca, Lando Calrissian (Billy Dee Williams), the Ewoks and the androids C-3PO and R2-D2 to aid in the disruption of the Dark Side and the defeat of the evil emperor.
-
Ep.7
The Force Awakens
Thirty years after the defeat of the Galactic Empire, the galaxy faces a new threat from the evil Kylo Ren (Adam Driver) and the First Order. When a defector named Finn (John Boyega) crash-lands on a desert planet, he meets Rey (Daisy Ridley), a tough scavenger whose droid contains a top-secret map. Together, the young duo joins forces with Han Solo (Harrison Ford) to make sure the Resistance receives the intelligence concerning the whereabouts of Luke Skywalker (Mark Hamill), the last of the Jedi Knights.
-
Ep.8
The Last Jedi
Yet to be confirmed. The further adventures of Luke Skywalker (Mark Hamill), Leia (Carrie Fisher) and Rey (Daisy Ridley).


tskr
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The following are defined C typedefs for deprecated user-defined functions, also included in the file mpi.h.
The following are deprecated Fortran user-defined callback subroutine prototypes. The deprecated copy and delete function arguments to MPI_KEYVAL_CREATE should be declared like these:
SUBROUTINE COPY_FUNCTION(OLDCOMM, KEYVAL, EXTRA_STATE, ATTRIBUTE_VAL_IN, ATTRIBUTE_VAL_OUT, FLAG, IERR) INTEGER OLDCOMM, KEYVAL, EXTRA_STATE, ATTRIBUTE_VAL_IN, ATTRIBUTE_VAL_OUT, IERR LOGICAL FLAG
SUBROUTINE DELETE_FUNCTION(COMM, KEYVAL, ATTRIBUTE_VAL, EXTRA_STATE, IERR) INTEGER COMM, KEYVAL, ATTRIBUTE_VAL, EXTRA_STATE, IERRThe deprecated handler-function for error handlers should be declared like this:


Vestibulum luctus sapien et massa dapibus non commodo ante lobortis. Cras malesuada c ursus massa vel ultricies. In hac habitasse platea dictumst. Proin a sapien in sem.
moreYou talking' to me?
TravisBickle76 on February 17, 2010 @ 2:30pmAnswer this
What does Rahm think about the public school situation?
ConcernedDude on February 20, 2010 @ 2:30pmAnswer this
lessHe considers it to be bad news bears.
Cras malesuada c ursus massa vel ultricies. In hac habitasse platea dictumst. Proin a sapien in sem tristique dignissim. On hac habitasse platea dictumst. Proin a sapien in sem tristique dignissim.
Citation: "This is an article name" on 9/12/09 at WSJ.com
WellReadDudette on February 27, 2010 @ 5:30pmReplyFlag this as opinion
Another point to consider:
Proin a sapien in sem tristique dignissim. On hac habitasse platea dictumst. Proin a sapien in sem tristique dignissim.
Citation: According to the Emanuel campaign on 11/20/10.
WellReadDudette on February 27, 2010 @ 5:30pmReplyFlag this as opinion
Rahm doesn't care about kids!! Read this, it's important!!
Proin hac habitasse platea dictumst. Proin a sapien in sem tristique dignissim.
Citation: "This is an article name" on 9/12/09 at UntrustworthyBlog.com
Opinionation on February 27, 2010 @ 5:30pmReplyFlag this as opinion


Alert! Success alert preview. This alert is dismissable.
System
System
| Name | Description | Related Projects | Actions |
|---|---|---|---|
| xxxx Name | gg | Addd | dasdf |


Meditation offers emotional and mental health benefits for people of all ages. And, if you’re going through an illness, recovering from surgery or living with a chronic condition, yoga can become an integral part of your treatment and potentially hasten healing.
By alleviating stress, meditation can improve your physical health. One of the physical benefits includes reducing the risk of stress-related illnesses. Medical researchers and doctors have reported the effects that stress has on the body. A number of illnesses are the result of stress. For this reason, medical practitioners recommend meditation to their patients to reduce stress levels
Meditation produces a deep state of relaxation and a calm mind, providing mental benefits.Studies have shown the positive effects meditation has on the brain and on improving memory. It also enhances concentration, attention, and focus. Meditation can improve concentration, whether one needs to concentrate for sports, education, work, or hobbies
To know more about yoga CLICK HERE


Overview
Package
Class
Deprecated
Index
Help
Groovy Documentation
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A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
_
A
afterInterceptor
- Property in
JcaptchaController
author
- Property in
JcaptchaGrailsPlugin
authorEmail
- Property in
JcaptchaGrailsPlugin
B
beforeInterceptor
- Property in
JcaptchaController
C
captcha
- Property in
JcaptchaController
captchaName
- Property in
JcaptchaController
challenge
- Property in
JcaptchaController
challengeAsJpeg
(BufferedImage)
- Method in
JcaptchaService
Utility routine to turn an image challenge into a JPEG stream.
challengeAsWav
(AudioInputStream)
- Method in
JcaptchaService
Utility routine to turn a sound challenge into a WAV stream.
D
data
- Property in
JcaptchaController
dependsOn
- Property in
JcaptchaGrailsPlugin
description
- Property in
JcaptchaGrailsPlugin
documentation
- Property in
JcaptchaGrailsPlugin
doWithApplicationContext
- Property in
JcaptchaGrailsPlugin
doWithDynamicMethods
- Property in
JcaptchaGrailsPlugin
doWithSpring
- Property in
JcaptchaGrailsPlugin
doWithWebDescriptor
- Property in
JcaptchaGrailsPlugin
E
F
G
getCaptchaService
(String)
- Method in
JcaptchaService
Retrieves a captcha by name.
grailsApplication
- Property in
JcaptchaService
Used to access the captchas defined as part of the app config.
H
I
J
JcaptchaController
- Class in
grails-app.controllers.grails.plugin.jcaptcha
Exposes actions that 'render' captcha challenges.
JcaptchaController
()
- Constructor in
JcaptchaController
JcaptchaGrailsPlugin
- Class in
DefaultPackage
Simplest.
JcaptchaGrailsPlugin
()
- Constructor in
JcaptchaGrailsPlugin
JcaptchaService
- Class in
grails-app.services.grails.plugin.jcaptcha
Provides access to the captchas as well as provides some util type methods to convert captchas to usable data.
jcaptchaService
- Property in
JcaptchaController
JcaptchaService
()
- Constructor in
JcaptchaService
JcaptchaTagLib
- Class in
grails-app.taglib.grails.plugin.jcaptcha
Some convenience tags for 'displaying' captcha challenges.
JcaptchaTagLib
()
- Constructor in
JcaptchaTagLib
jpeg
- Property in
JcaptchaController
jpeg
- Property in
JcaptchaTagLib
Insert an 'img' tag with a JPEG image challenge.
K
L
M
mappings
- Property in
UrlMappings
N
namespace
- Property in
JcaptchaTagLib
All tags are
O
onApplicationChange
- Property in
JcaptchaGrailsPlugin
onChange
- Property in
JcaptchaGrailsPlugin
P
Q
R
S
T
title
- Property in
JcaptchaGrailsPlugin
U
UrlMappings
- Class in
grails-app.conf
UrlMappings
()
- Constructor in
UrlMappings
V
validateResponse
(def, def, def)
- Method in
JcaptchaService
Used to verify the response to a challenge.
version
- Property in
JcaptchaGrailsPlugin
W
wav
- Property in
JcaptchaController
wav
- Property in
JcaptchaTagLib
Insert an 'embed' tag with a WAV image challenge.
X
Y
Z
_
Groovy Documentation


July’s annual graduation ceremony organized by IMT “Signum” ITB, Telecommunication student association in Bandung Institute of Technology (ITB)
Maha Gotra Ganesha ITB, a Balinese culture organization in Bandung Institute of Technology (ITB)


Welcome to Locata
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Library Atom
Atoms are structureless objects such that we can always generate
one fresh from a finite collection. Equality on atoms is eq and
decidable. We use Coq's module system to make abstract the
implementation of atoms. The module type ATOM, defined below,
is compatible with UsualDecidableType.
Module Type ATOM.
Parameter t : Set.
Definition eq := @eq t.
Definition eq_refl := @refl_equal t.
Definition eq_sym := @sym_eq t.
Definition eq_trans := @trans_eq t.
Parameter eq_dec : ∀ x y : t, {x = y} + {x ≠ y}.
Parameter atom_fresh_for_list :
∀ (xs : list t), {x : t | ~ List.In x xs}.
End ATOM.
The implementation of the above interface is hidden for
documentation purposes.
We give more suggestive names to some of the constants provided by
the AtomImpl module.
Definition atom : Set :=
AtomImpl.t.
Definition eq_atom_dec : ∀ (x y : atom), {x = y} + {x ≠ y} :=
AtomImpl.eq_dec.
Hint Resolve eq_atom_dec.
This page has been generated by coqdoc


{% extends "layout_task-list.html" %} {% block page_title %} Money Claims Prototype {% endblock %} {% block home_link %} ../task-list {% endblock %} {% block proposition_header %} {% set my_account="1" %} {% include "includes/propositional_navigation.html" %} {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} Back Accept or reject the defendant's admission of £1,000? I accept this amount By accepting you will settle the claim for this £1,000. You can also agree to their repayment plan or suggest suggest an alternative Continue to view payment method I reject this amount By rejecting the defendant's admission the claim will proceed to a hearing for the total amount claimed of £1,500. {% endblock %}
Continue to view payment method


Imperial City [aa0c], city, in Imperial Forest [aq70], in Imperia
Last updated Turn #143
Imperial City [aa0c], city, in Imperial Forest [aq70], in Imperia
------------------------------------------------------------------------
24: Elmar [d7q], Pen, with 12 peasants, one worker, 55 pikemen, 23 wagons,
24: arrived from Imperial Forest [aq70], accompanied by:
24: Celia [i4d], Pen, with one peasant, 30 lt. xbowmen, three wagons,
24: two wild horses, 13 riding horses
24: Tom Sen [p0u], refugee, prisoner
25: Elmar [d7q], Pen, with 12 peasants, one worker, 55 pikemen, 23 wagons,
25: entered Imperial Store [p17], accompanied by:
25: Celia [i4d], Pen, with one peasant, 30 lt. xbowmen, three wagons,
25: two wild horses, 13 riding horses
25: Tom Sen [p0u], refugee, prisoner
26: Elmar [d7q], Pen, with 12 peasants, one worker, 55 pikemen, 23 wagons,
26: arrived from Imperial Store [p17], accompanied by:
26: Celia [i4d], Pen, with one peasant, 30 lt. xbowmen, three wagons,
26: two wild horses, 13 riding horses
26: Tom Sen [p0u], refugee, prisoner
27: Elmar [d7q], Pen, with 12 peasants, one worker, 55 pikemen, 23 wagons,
27: exited Imperial City [aa0c], accompanied by:
27: Celia [i4d], Pen, with one peasant, 30 lt. xbowmen, three wagons,
27: two wild horses, 13 riding horses
27: Tom Sen [p0u], refugee, prisoner
Routes leaving Imperial City:
Out, forest, to Imperial Forest [aq70], 1 day
Garrison [in5v], garrison, Imperial Empire, with ten peasants,
ten workers
Border closed.
Cities rumored to be nearby:
Thorbardin [ad7b], in Thorbardin Mountains [ao69]
Rylla [ad8h], in Buffalo Plains [ap70]
Eadweard [ad9f], in Buffalo Plains [aq71]
Ilya [ae3l], in Painted Desert [au70]
Skills taught here:
Combat [121]
Market report (tax of 25%):
trade who price qty wt/ea item
----- --- ----- --- ----- ----
buy aa0c 97 15 1 nazgul tail [319]
buy aa0c 12 11 5 lion manes [324]
buy aa0c 7 9 5 clay pots [95]
buy aa0c 5 6 1 savage ears [318]
sell aa0c 13 25 30 wood [77]
sell aa0c 550 1 5 Manual of Forestry [gc1q]
sell aa0c 975 1 5 old book [ir1g]
Inner locations:
Imperial Store [p17], Trading Guild, defense 20


Team Profile
Rick Sanchez
Manager
ID:3
Email<EMAIL_ADDRESS>Office Number:540-4242
Beth Smith
Engineer
ID:2
Email<EMAIL_ADDRESS>Github:BethSmith
Morty Smith
Intern
ID:1
Email<EMAIL_ADDRESS>School:School of Rick


This package contains check implementations used by the annotation processor to verify constraint declarations.
These checks are registered in the ConstraintValidatorFactory responsible to return the corresponding check in function of the processed element and annotation. This factory is especially used by the annotation processor implementation to get the checks corresponding to an annotated element.


Chapter 7 Data Wrangling: tidyr
7.1 Overview
Now you have some experience wrangling and working with tidy data. But we all know that not all data that you have are tidy. So how do we make data more tidy? With tidyr
.
Objectives
- learn
tidyr
with thegapminder
package - other wrangling: joins, binding
- practice the RStudio-GitHub workflow
- your turn: use the data wrangling cheat sheet to explore window functions
Resources
These materials borrow heavily from:
7.2 tidyr
basics
Often, data must be reshaped for it to become tidy data. What does that mean? There are four main verbs we’ll use, which are essentially pairs of opposites:
- turn columns into rows (
gather()
), - turn rows into columns (
spread()
), - turn a character column into multiple columns (
separate()
), - turn multiple character columns into a single column (
unite()
)
You use spread()
and gather()
to transform or reshape data between wide to long formats. long format is the tidy data we are after, where:
- each column is a variable
- each row is an observation
In the long format, you usually have 1 column for the observed variable and the other columns are ID variables.
For the wide format each row is often a site/subject/patient and you have multiple observation variables containing the same type of data. These can be either repeated observations over time, or observation of multiple variables (or a mix of both). Data input may be simpler or some other applications may prefer the ‘wide’ format. However, many of R
‘s functions have been designed assuming you have ’long’ format data.
These data formats mainly affect readability. For humans, the wide format is often more intuitive since we can often see more of the data on the screen due to it’s shape. However, the long format is more machine readable and is closer to the formatting of databases. The ID variables in our dataframes are similar to the fields in a database and observed variables are like the database values.

Sometimes, as with the gapminder dataset, we have multiple types of observed data. It is somewhere in between the purely ‘long’ and ‘wide’ data formats:
- 3 “ID variables” (
continent
,country
,year
) - 3 “Observation variables” (
pop
,lifeExp
,gdpPercap
).
It’s pretty common to have data in this intermediate format in most cases despite not having ALL observations in 1 column, since all 3 observation variables have different units. But we can play with switching it to long format and wide to show what that means (i.e. long would be 4 ID variables and 1 observation variable).
Note: Generally, mathematical operations are better in long format, although some plotting functions actually work better with wide format.
7.2.1 Setup
We’ll work today in RMarkdown. You can either continue from the same RMarkdown as yesterday, or begin a new one.
Here’s what to do:
- Clear your workspace (Session > Restart R)
- New File > R Markdown…, save as something other than
gapminder-wrangle.Rmd
and delete irrelevant info, or just continue usinggapminder-wrangle.Rmd
I’m going to write this in my R Markdown file:
Data wrangling with `tidyr`, which is part of the tidyverse. We are going to tidy some data!
7.2.2 load tidyverse
(which has tidyr
inside)
First load tidyr
in an R chunk. You already have installed the tidyverse, so you should be able to just load it like this (using the comment so you can run install.packages("tidyverse")
easily if need be):
library(tidyverse) # install.packages("tidyverse")
7.3 Explore gapminder data — wide format.
Yesterday we started off with the gapminder data in a format that was already tidy. But what if it weren’t? Let’s look at a different version of those data.
The data are on GitHub. Navigate there by going to:
github.com > ohi-science > data-science-training > data > gapminder_wide.csv
or by copy-pasting this in the browser: https://github.com/OHI-Science/data-science-training/blob/master/data/gapminder_wide.csv
Have a look at the data. You can see there are a lot more columns than the version we looked at before. This format is pretty common, because it can be a lot more intuitive to enter data in this way.
But we want it to be in a tidy way so that we can work with it more easily. So here we go.
7.4 gather()
data from wide to long format
Read in the data from GitHub. Remember, you need to click on the ‘Raw’ button first so you can read it directly. Let’s also read in the gapminder data from yesterday so that we can use it to compare later on.
## wide format
gap_wide <- readr::read_csv('https://raw.githubusercontent.com/OHI-Science/data-science-training/master/data/gapminder_wide.csv')
## yesterday's format (intermediate)
gapminder <- readr::read_csv('https://raw.githubusercontent.com/OHI-Science/data-science-training/master/data/gapminder.csv')
Let’s have a look:
head(gap_wide)
str(gap_wide)
While wide format is nice for data entry, it’s not nice for calculations. Some of the columns are a mix of variable (e.g. “gdpPercap”) and data (“1952”). What if you were asked for the mean population after 1990 in Algeria? Possible, but ugly. But we know it doesn’t need to be so ugly. Let’s tidy it back to the format we’ve been using.
Question: let’s talk this through together. If we’re trying to turn the
gap_wide
format intogapminder
format, what structure does it have that we like? And that we want to change?
- We like the continent and country columns. We won’t want to change those.
- For long format, we’d want just 1 column identifying the variable name (
tidyr
calls this a ‘key’), and 1 column for the data (tidyr
calls this the ’value’). - For intermediate format, we’d want 3 columns for
gdpPercap
,lifeExp
, andpop
. - We would like year as a separate column.
Let’s get it to long format. We’ll have to do this in 2 steps. The first step is to take all of those column names (e.g. lifeExp_1970
) and make them a variable in a new column, and transfer the values into another column. Let’s learn by doing:
Let’s have a look at gather()
’s help:
?gather
Question: What is our key-value pair?
We need to name two new variables in the key-value pair, one for the key, one for the value. It can be hard to wrap your mind around this, so let’s give it a try. Let’s name them obstype_year
and obs_value
.
Here’s the start of what we’ll do:
gap_long <- gap_wide %>%
gather(key = obstype_year,
value = obs_values)
We got a warning message. This means that gather()
worked, but maybe not how we wanted it to to.
Although we were already planning to inspect our work, let’s definitely do it now:
str(gap_long)
head(gap_long)
tail(gap_long)
So we have successfully reshaped our dataframe, but really not how we wanted. Very important to check, and listen to that warning message–dropping attributes seems very suspicious.
What went wrong? Notice that it didn’t know that we wanted to keep continent
and country
untouched; we need to give it more information about which columns we want reshaped. We can do this in several ways.
A good way: identify the columns by name. Listing them out by explicit name can be a good approach if there are a few. But there’s a lot here: over 30. But I’m not going to list them out here, and way too much potential for error if you tried gdpPercap_1952, gdpPercap_1957, gdpPercap_1962… But we could use some of dplyr
’s awesome helper functions — because we expect that there is a better way to do this!
gap_long <- gap_wide %>%
gather(key = obstype_year,
value = obs_values,
dplyr::starts_with('pop'),
dplyr::starts_with('lifeExp'),
dplyr::starts_with('gdpPercap'))
str(gap_long)
head(gap_long)
tail(gap_long)
Success! And there is another way that is nice to use if your columns don’t follow such a structured pattern: you can exclude the columns you don’t want.
gap_long <- gap_wide %>%
gather(key = obstype_year,
value = obs_values,
-continent, -country)
str(gap_long)
head(gap_long)
tail(gap_long)
To recap:
Inside gather()
we first name the new column for the new ID variable (obstype_year
), the name for the new amalgamated observation variable (obs_value
), then the names of the old observation variable. We could have typed out all the observation variables, but as in the select()
function (see dplyr
lesson), we can use the starts_with()
argument to select all variables that starts with the desired character string. Gather also allows the alternative syntax of using the -
symbol to identify which variables are not to be gathered (i.e. ID variables).
OK, but we’re not done yet. obstype_year
actually contains two pieces of information, the observation type (pop
,lifeExp
, or gdpPercap
) and the year
. We can use the separate()
function to split the character strings into multiple variables.
?separate
–> the main arguments are separate(data, col, into, sep ...)
. So we need to specify which column we want separated, name the new columns that we want to create, and specify what we want it to separate by. Since the obstype_year
variable has observation types and years separated by a _
, we’ll use that.
gap_long <- gap_wide %>%
gather(key = obstype_year,
value = obs_values,
-continent, -country) %>%
separate(obstype_year,
into = c('obs_type','year'),
sep="_")
No warning messages…still we inspect:
str(gap_long)
head(gap_long)
tail(gap_long)
Excellent. This is long format: every row is a unique observation. Yay!
7.4.1 Your turn
Using
gap_long
, calculate the mean life expectancy, population, and gdpPercap for each continent. Hint: use thedplyr::group_by()
anddplyr::summarize()
functionsWhat other helper functions can you use with
dplyr::select()
? Would any be useful in our example above? Why or why not?Knit the R Markdown file and sync to Github (pull, stage, commit, push)
# solution (no peeking!)
gap_long %>%
group_by(continent, obs_type) %>%
summarize(means = mean(obs_values))
7.5 spread()
data from long to intermediate format
Alright! Now just to double-check our work, let’s use the opposite of gather()
to spread our observation variables back to the original format with the aptly named spread()
. You pass spread()
the key and value pair, which is now obs_type
and obs_values
.
gap_normal <- gap_long %>%
spread(obs_type, obs_values)
No warning messages is good…but still let’s check:
dim(gap_normal)
dim(gapminder)
names(gap_normal)
names(gapminder)
Now we’ve got an intermediate dataframe gap_normal
with the same dimensions as the original gapminder
, but the order of the variables is different. Let’s fix that before checking if they are all.equal()
.
7.5.1 Your turn
Reorder the columns in “gap_normal” to match “gapminder”.
<IP_ADDRESS> Answer (no peeking!)
# one way with dplyr and %>%
gap_normal <- gap_normal %>%
select(country, continent, year, lifeExp, pop, gdpPercap)
# another way with base R
gap_normal <- gap_normal[,names(gapminder)]
Now let’s check if they are all.equal (?all.equal
) is a handy test
all.equal(gap_normal, gapminder)
Hmm. Our all.equal()
test didn’t pass. Let’s try to figure out why:
head(gap_normal)
head(gapminder)
Ah, they are ordered differently. We’re almost there, the original was ordered by country
, continent
, then year
.
gap_normal <- gap_normal %>%
arrange(country, continent, year)
all.equal(gap_normal, gapminder)
Better…
str(gap_normal)
str(gapminder)
Mine currently shows that the in gapminder, “year” is an integer (int), but in gap_normal, “year” is a character. So let’s change that and see if that helps:
gap_normal <- gap_normal %>%
mutate(year = as.integer(year))
all.equal(gap_normal, gapminder)
Hooray!
str(gap_normal)
str(gapminder)
(In the past, mine has shown a slight difference because one is a data.frame and one is a tbl_df, which is similar to a data.frame. We won’t get into this difference now, I’m feeling good about these data sets! We’ve gone from the longest format back to the intermediate and we didn’t introduce any errors in our code.)
7.6 Your turn
Convert “gap_long” all the way back to gap_wide. Hint: you’ll need to create appropriate labels for all our new variables (time*metric combinations) with the opposite of separate:
tidyr::unite()
.Knit the R Markdown file and sync to Github (pull, stage, commit, push)
7.6.1 Answer (no peeking)
head(gap_long) # remember the columns
gap_wide_new <- gap_long %>%
# first unite obs_type and year into a new column called var_names. Separate by _
unite(col = var_names, obs_type, year, sep = "_") %>%
# then spread var_names out by key-value pair.
spread(key = var_names, value = obs_values)
str(gap_wide_new)
7.6.2 clean up and save your .Rmd
Spend some time cleaning up and saving gapminder-wrangle.Rmd
Restart R. In RStudio, use Session > Restart R. Otherwise, quit R with q()
and re-launch it.
This morning’s .Rmd could look something like this:
## load tidyr (in tidyverse)
library(tidyverse) # install.packages("tidyverse")
## load wide data
gap_wide <- read.csv('https://raw.githubusercontent.com/OHI-Science/data-science-training/master/data/gapminder_wide.csv')
head(gap_wide)
str(gap_wide)
## practice tidyr::gather() wide to long
gap_long <- gap_wide %>%
gather(key = obstype_year,
value = obs_values,
-continent, -country)
# or
gap_long <- gap_wide %>%
gather(key = obstype_year,
value = obs_values,
dplyr::starts_with('pop'),
dplyr::starts_with('lifeExp'),
dplyr::starts_with('gdpPercap'))
## gather() and separate() to create our original gapminder
gap_long <- gap_wide %>%
gather(key = obstype_year,
value = obs_values,
-continent, -country) %>%
separate(obstype_year,
into = c('obs_type','year'),
sep="_")
## practice: can still do calculations in long format
gap_long %>%
group_by(continent, obs_type) %>%
summarize(means = mean(obs_values))
## spread() from normal to wide
gap_normal <- gap_long %>%
spread(obs_type, obs_values) %>%
select(country, continent, year, lifeExp, pop, gdpPercap)
## check that all.equal()
all.equal(gap_normal,gapminder)
## unite() and spread(): convert gap_long to gap_wide
head(gap_long) # remember the columns
gap_wide_new <- gap_long %>%
# first unite obs_type and year into a new column called var_names. Separate by _
unite(col = var_names, obs_type, year, sep = "_") %>%
# then spread var_names out by key-value pair.
spread(key = var_names, value = obs_values)
str(gap_wide_new)
7.6.3 complete
: other tidyr
awesomeness
For this, let’s look at Jarrett Byrnes’ blog on the topic:
http://www.imachordata.com/you-complete-me/


Press the spacebar to start the game
That's worth:
0
points!
Status:
Player 1 score:
0
Player 2 score:
0


/*Open cases where Activity Type ("CntctType") is a Return ('6') and is not closed */ SELECT T0."ClgCode", "CardCode", "CntctDate", "Notes", "Details" FROM OCLG T0 WHERE "Closed" = 'N' AND "CntctType" = 6


😞
When I'm faced with a new business problem, I clam up. And it's impossible to move forward.
💼
I have no clue how to apply data science to business problems (and my confidence is taking a hit because of it).
🛑
I'm getting bogged down in programming concepts and it's stopping me from solving business problems.
🤷♂
I'm overwhelmed trying to piece together a business project that will get me in the door for an interview with a good company.
👶
I'm struggling with going beyond the "hello world" basics, and it's preventing me from applying data science to business (and stopping me from getting a data science job or promotion).
⏱
I'm working a full time job. And I don't have the time to figure all this stuff out.
🧠
I want to stand out. But, I have no clue what they want. And I'm about to give up.


{% extends "base.html" %} {#Head container#} {% load staticfiles %} {% load bootstrap %} {% load i18n widget_tweaks %} {% block content %}
It looks like one or more of your files did not upload successfully. Click the button below to retry upload of your sequence data. You'll only have to upload files that did not successfully upload.
This page will automatically refresh. An assembly run usually takes at least 4-5 hours.
You don't have to remain on this page - this assembly request will be visible on the Assembly homepage.
{% elif sequencing_run.status == 'Complete' %}Shareable link: {{ sequencing_run.download_link }}


This is the offline version of the documentation. We recommend you to use the online documentation.
S7 TCP-IP
Introduction
The S7 TCP-IP interface is providing a direct connection to Siemens Hardware Controllers including the S7-300,400,1200,1500 as well as Simotion and Sinumerik controllers.
The S7 Interface is running in a separate thread to achieve maximum performance.
The S7 TCP-IP interface is based on Snap7 from Davide Nardella, for more information see http://snap7.sourceforge.net/. Thanks to Davide for providing us Snap7 under special license conditions.
Here is a short Youtube Tutorial showing you the interface in action:
Configuring the PLC
For allowing the access of the PLC, you will need to set the TIA portal property, under the CPU project, in the left pane under Properties the item Protection to Full access. You also need to check permit access with PUT/GET …
Interface configuration
The S7 interface is added to the Scene by selecting Tools > game4automation > Add Component > Interface > S7 or by adding the script S7interface to an empty GameObject.
You will get an inspector window like this:
For the PLC you need to configure the IP-Adress under Adress and the Rack and Slot number.
For importing symbols, a path to a symbol table (.sdf-format) needs to be added.
By pushing the Check Connection button you can check if the PLC is reachable. If everything is OK you will get an OK in the Connection Status as well as a Running in the PLC Status
Importing Signals
With Import symbol table all symbols that are in the table are imported and GameObjects with the any Game4Automation signal objects (PLCInput…, PLCOutput…) are created.
The name of the GameObject will be the Symbol name. The name of the Signal Script (PLCInput.. and PLCOutput..) will be the absolute plc address. This address is the basic id for the interface signal.
It is also possible to manually add signals and to configure the address (in the Name property of the Signal script) yourself.
After the interface configuration is done and after you have checked if the PLC is reachable, you can start the simulation. You will see, that all signals are updated automatically.
Adding Signals manually
It is possible to add signals manually. In this case you must make sure that the Signal adress is proided in the Signal as name and that the Data type (see table below) of the signal is provided as property in Origin Data Type:
These data types are supported:
| Datatype | Description |
|---|---|
| BOOL | Boolean, one Bit |
| BYTE | Byte, 8 Bit |
| WORD | Word, 16 Bit |
| DWORD | Double Word with 32 Bit |
| SINT | Signed Int with 8 Bit |
| INT | Signed Int with 16 Bit |
| DINT | Signed Int with 32 Bit |
| USINT | Unsigned Int with 8 Bit |
| UINT | Unsigned Int with 16 Bit |
| UDINT | Unsigned Int with 32 Bit |
| REAL | Real with 32 Bit |
Reading and Writing DBs
It is also possible to read and write Data Blocks (DBs) on a PLC. DB variables are not part of the signal table and you need to configure the access to the DB values manually based on their physical address in the PLC.
To be able to access the DB values Optimized Block Access needs to be turned off in the DB properties:
Here is an example how to access a Byte inside the DB. The Name of the PLCOutput or Input needs to be the absolute adress of the DB value:
This is an example how to access a Real inside the DB:
© 2019 in2Sight GmbH https://game4automation.com - All rights reserved. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including printing, saving, photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the publisher.


Simple grunt-dock
Just try to update this file and then refresh your browser. Your changes should be there.
How it works?
The Docker container has been started with a mounted volume to this current repository.


Questions should follow the following format:
Question
Answer
@individual answer feedback
*correct answer
answer
answer
@@overall feedback for all answers
Each question should be separated by an empty line. The first line in each block of lines must always be the question. Designate the question as an 'All That Apply' type question simply by indicating more than one correct answer. Press the Format Text button to trim whitespaces and concurrent empty lines. All text is automatically trimmed of whitespace.


--- title: unique sidebar: function_reference_sidebar permalink: Miller.unique.html folder: function_reference toc: false ---
disjoint list of Miller indices%
| m | Miller |
| tol | double (default 1e-7) |
| u | Miller |
| im | index such that u = m(im) |
| iu | index such that m = u(iu) |
| stable | prevent sorting |
| noSymmetry | ignore symmetry |


Research is essential to the creative. Understanding isn’t just knowing the project, its knowing the purpose. Defining that is purpose is more important than just making something look pretty.
Understanding what the design is supposed to accomplish helps me communicate effectively with the consumer and instills greater value in the work.
I gather inspiration from everything I see and hear–music, friends, photography, food, nature–the list goes on. Everything I interact with can find its way into my work. Working in these different mediums can bring some fire too.
I’ve also found a lot of inspiration by exploring different design media. Experience with photography and animation informs the work I do in Illustrator.
I love being involved in a field that constantly provides new opportunities for growth.
One mind is rarely enough to come up with a game-changing idea. I’m creative and all, but nothing helps me find great solutions better than bouncing ideas off of others, whether they’re designers or not.
The more people can understand the full process, the easier it is to work together.
There’s nothing better than a good couch, good tunes and good conversation. I surround myself with people that value connection. They’ve made me a better designer by helping me be more emotionally articulate and understanding of diverse perspectives.
They’ve also given me plenty of feedback on my designs over the years
This, of course, has made its way into my design process. I love showing everyone everything, and believe working in every aspect of a project, not just design, will deeply root me in the objective.
I find it incredible that an artist can use the same scales and instruments as another and come up with something completely original. Translating emotion into sound is an awesome form of creativity. I try to channel that creativity in my design process by asking myself how an image can convey the deeper meaning behind a project.
Music has always been a part of my life. I’ve taken a stab at learning multiple instruments, sung since I was a kid and have even participated in a few drum circles.
How is beer related to design? Well let me tell you: from the golden hues to the crafty cans, beer inspires. It can be fruity, dank, floral, bold or even bitter. There is an insane amount of flavors to choose from, yet some brewers manage to find perfect balances in their creations.
A sip sends me straight to my happy place (not to mention the buzz). Just thinking of the effort and precision that goes into the process makes drinking good beer so much more enjoyable.


Akan naming is derived from Ghanian's culture.child's name is determined by factors sorrounding his or her birth.


Also, it provides the following operations:
context()
, which returns a context_type &
reference
Example:
struct write_to_file : destination_base, destination::non_const_context<std::ofstream> { write_to_file(const char* filename) : non_const_context_base(filename) {} void operator()(param msg) const { context() << msg ; } };
write_to_file a, b = a; a.file_name("t1.txt"); // a == b (a's state == b's state) write_to_file c, d; c.file_name("t2.txt"); // c != d (c's state != d's state) d = c; c.file_name("t3.txt"); // c == d (c's state == d's state)


sh
: Shell Scriptscript
Runs a Bourne shell script, typically on a Unix node. Multiple lines are accepted.
An interpreter selector may be used, for example: #!/usr/bin/perl
Otherwise the system default shell will be run, using the -xe
flags (you can specify set +e
and/or set +x
to disable those).
String
encoding
(optional)
String
returnStatus
(optional)
boolean
returnStdout
(optional)
String
, rather than being printed to the build log. (Standard error, if any, will still be printed to the log.) You will often want to call
.trim()
on the result to strip off a trailing newline.
boolean


MLD2P4 (MultiLevel Domain Decomposition Parallel Preconditioners Package based on PSBLAS) is a package of parallel algebraic multilevel preconditioners. The first release of MLD2P4 made available multilevel additive and hybrid Schwarz preconditioners, as well as one-level additive Schwarz preconditioners. The package has been extended to include further multilevel cycles and smoothers widely used in multigrid methods. In the multilevel case, a purely algebraic approach is applied to generate coarse-level corrections, so that no geometric background is needed concerning the matrix to be preconditioned. The matrix is assumed to be square, real or complex.
MLD2P4 has been designed to provide scalable and easy-to-use preconditioners in the context of the PSBLAS (Parallel Sparse Basic Linear Algebra Subprograms) computational framework and can be used in conjuction with the Krylov solvers available in this framework. MLD2P4 enables the user to easily specify different features of an algebraic multilevel preconditioner, thus allowing to search for the “best” preconditioner for the problem at hand.
The package employs object-oriented design techniques in Fortran 2003, with interfaces to additional third party libraries such as MUMPS, UMFPACK, SuperLU, and SuperLU_Dist, which can be exploited in building multilevel preconditioners. The parallel implementation is based on a Single Program Multiple Data (SPMD) paradigm; the inter-process communication is based on MPI and is managed mainly through PSBLAS.
This guide provides a brief description of the functionalities and the user interface of MLD2P4.


Transform()
A local transformation state (independent of the global, canvas transform). You can use Transform objects to apply translation, rotation, scaling and skewing to a path before drawing it.
t.translate(x=0, y=0) t.rotate(degrees=0, radians=0) t.scale(x=1, y=None) t.skew(x=0, y=0) t.invert()
t.append(t) t.prepend(t)
t.apply(path_or_point)
t.copy()
See the tutorial on paths to learn more about the methods.
The apply() method returns a new Bezier
or Point
with the defined transformations applied to it.


| Class | Sunlight::Legislator |
| In: |
lib/sunlight/legislator.rb
|
| Parent: | SunlightObject |
Useful for getting the exact Legislators for a given district.
Returns:
A Hash of the three Members of Congress for a given District: Two Senators and one Representative.
You can pass in lat/long or address. The district will be determined for you:
officials = Legislator.all_for(:latitude => 33.876145, :longitude => -84.453789) senior = officials[:senior_senator] junior = officials[:junior_senator] rep = officials[:representative] Legislator.all_for(:address => "123 Fifth Ave New York, NY 10003") Legislator.all_for(:address => "90210") # not recommended, but it'll work
# File lib/sunlight/legislator.rb, line 23 def self.all_for(params) if (params[:latitude] and params[:longitude]) Legislator.all_in_district(District.get(:latitude => params[:latitude], :longitude => params[:longitude])) elsif (params[:address]) Legislator.all_in_district(District.get(:address => params[:address])) else nil # appropriate params not found end end
A helper method for all_for. Use that instead, unless you already have the district object, then use this.
Usage:
officials = Legislator.all_in_district(District.new("NJ", "7"))
# File lib/sunlight/legislator.rb, line 42 def self.all_in_district(district) senior_senator = Legislator.all_where(:state => district.state, :district => "Senior Seat").first junior_senator = Legislator.all_where(:state => district.state, :district => "Junior Seat").first representative = Legislator.all_where(:state => district.state, :district => district.number).first {:senior_senator => senior_senator, :junior_senator => junior_senator, :representative => representative} end
A more general, open-ended search on Legislators than all_for. See the Sunlight API for list of conditions and values:
services.sunlightlabs.com/api/docs/legislators/
Returns:
An array of Legislator objects that matches the conditions
Usage:
johns = Legislator.all_where(:firstname => "John") floridians = Legislator.all_where(:state => "FL") dudes = Legislator.all_where(:gender => "M")
# File lib/sunlight/legislator.rb, line 67 def self.all_where(params) url = construct_url("legislators.getList", params) if (result = get_json_data(url)) legislators = [] result["response"]["legislators"].each do |legislator| legislators << Legislator.new(legislator["legislator"]) end legislators else nil end end


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1. Reproducible Workflows using Snakemake and Singularity
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1. Reproducible Workflows using Snakemake and Singularity
2. Introduction
3. Snakemake Intro Tutorial using Binder
4. Snakemake Tutorial on Cyverse Cloud
4.1. Tutorial on Jetstream cloud
5. Working Locally
6. Awesome
7. Credits
8. Coming Soon
9. Introduction
10. Why Snakemake?
10.1. Snakemake Advantages:
11. Why Containers?
12. Snakemake Basic Tutorial
13. Background
14. Getting started - your first Snakefile
14.1. Updating the Snakefile to track inputs and outputs
14.2. Forcibly re-running things
15. Multiple rules
16. A first refactoring: adding a better default rule
17. A second refactoring: doing a bit of templating
18. Refactoring 3: templating output files, too
18.1. Adding some more files
18.2. Rerunning snakemake
19. Building out the workflow
19.1. Providing input files explicitly to the multiqc rule
19.2. Refactoring this to make it slightly more concise –
19.3. Digression: what files does snakemake check in order to decide about rerunning?
19.4. Making a
clean
rule
19.5. Digression: running things in parallel
19.6. Doing more things in our workflow.
20. More advanced snakemake
20.1. Dry run
20.2. Running things in parallel, revisited
20.3. Specifying software required for a rule
20.4. Outputting the entire workflow diagram
20.5. Snakemake Report
20.6. Adding in some Python…
21. Final thoughts - writing your own snakefile
21.1. Dealing with complexity
22. Thinking about workflows - a strong(er) argument
23. Go forth and Workflow!
24. Snakemake Tutorial on CyVerse cloud
25. Accessing The Atmosphere Cloud
26. Login & Launch Instance
27. SSH Secure-Login
28. Instance Maintenance
28.1. Atmosphere Dashboard
28.2. Suspend Instance
28.3. Delete Instance
29. Additional Features
29.1. Did you know you can access a shell terminal and a web-desktop via your browser ???
30. Advanced Topics
30.1. Atmosphere Advanced Topics
31. Advanced Topics
32. Transferring Data to and from an Instance
32.1.
Transferring Data using iCommands
33. Creating custom Atmosphere Images
34. ssh-rsa-key for password-less login
35. Tmux & Screen
36. SSH Remote host ID Changed Error
37. Snakemake Tutorial on Atmosphere Cloud
38. Login to CyVerse Atmosphere
39. Launch a tiny ‘t1’ instance with the ‘Snakemake2019’ v1.0 base image
40. Activate Conda
41. Download data
42. Open Rstudio
43. Run snakemake
44. Visualize Workflow
45. Generate Report
46. Coming Soon
47. Singularity
48. Awesome List of Resources
49. Reproducibility Toolkit
50. Local Setup instructions
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Redefining Urban Living
Summer 2016 — I interned at Ori, an MIT-startup transforming and redefining urban living spaces with robotic, shape-shifting furniture.
Over the course of 3 months, I built the iOS and Android apps from the ground up. The mobile apps act as remote controls, which connect with the lights and transform the robotic, IoT furniture systems.
01 Robotic IoT Furniture
Static floor plans, rigid buildings, and unresponsive structures constrain modern lifestyles that are more mobile and less predictable than ever. Today, we need urban spaces that are versatile and vibrant, flexible and responsive. To achieve this, we need to see space differently. We at Ori challenge the world to see the potential in all spaces, unlocked by advances in technology and empowered by a different point of view that moves us toward a more affordable, accessible and sustainable urban future.
02 Mobile Apps
Role
I was the sole developer of the iOS and Android apps, building them natively on both platforms from scratch. I had the autonomy to design and implement the UI and UX of the apps and develop the interaction models interfacing the app and furniture systems.
I had the chance to work on the full-stack, from the API layers to the front end visual identities, from prototype to conception. Throughout my internship, I was supervised by the head of engineering.
Technologies
iOS
Android
Mobile
UI/UX
Prototyping
Interaction Design
IoT
AWS
Result
Having no prior experience in mobile development, I learned the ins and outs of iOS and Android development within the first few weeks.
By the end of the internship, I finished the iOS app and made significant progress on the Android app. I wrote documentation and handed off the app to the next intern.
Both the iOS and Android apps are now live on the App Store and Google Play.


Bangladesh has been aptly described as a new state in an ancient land. Much has been written about the past glory of Bangladesh, notably in old records like the evidence of Pliny and Periplus of the Erythrean Sea (first century AD). It was drawn in Ptolemy's map. These indicate that from the earliest times Bangladesh was known to the West, particularly for its Muslin, the finest fabric the world has ever produced. Travellers and scholars who were attracted by the charms and fame of Bangladesh since time immemorial had showered effusive epithets on its bounties and wealth, affluence and prosperity, craftsmanship and cultural advancement.


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NEQN
Section: User Commands (1)Updated: 27 June 2001
Index Return to Main Contents
NAME
neqn - format equations for ascii outputSYNOPSIS
neqn [eqn options]DESCRIPTION
The neqn program is actually just a shell script which invokes the eqn(1) command with the ascii output device.Note that eqn does not support low-resolution, typewriter-like devices (although it may work adequately for very simple input).
SEE ALSO
eqn(1)
Index
This document was created by man2html, using the manual pages.
Time: 05:29:06 GMT, December 24, 2015


Creating teams and adding players.
Creating a game and setting up starting rotations.
Tracking shots that are kills and live balls.
Tracking shots that are errors, tools, and blocks.