add school of data tutorials
add school of data tutorials

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  <?xml version="1.0" encoding="UTF-8"?>
  <project version="4">
  <component name="AntConfiguration">
  <defaultAnt bundledAnt="true" />
  </component>
  </project>
 
 
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# [HTML5 Boilerplate](http://html5boilerplate.com) # GovHack toolkit
   
HTML5 Boilerplate is a professional front-end template for building fast, Collection of resources for data analysis and visualisation
robust, and adaptable web apps or sites.  
   
This project is the product of many years of iterative development and combined  
community knowledge. It does not impose a specific development philosophy or  
framework, so you're free to architect your code in the way that you want.  
   
* Source: [https://github.com/h5bp/html5-boilerplate](https://github.com/h5bp/html5-boilerplate)  
* Homepage: [http://html5boilerplate.com](http://html5boilerplate.com)  
* Twitter: [@h5bp](http://twitter.com/h5bp)  
   
   
## Quick start  
   
Choose one of the following options:  
   
1. Download the latest stable release from  
[html5boilerplate.com](http://html5boilerplate.com/) or a custom build from  
[Initializr](http://www.initializr.com).  
2. Clone the git repo — `git clone  
https://github.com/h5bp/html5-boilerplate.git` - and checkout the tagged  
release you'd like to use.  
   
   
## Features  
   
* HTML5 ready. Use the new elements with confidence.  
* Cross-browser compatible (Chrome, Opera, Safari, Firefox 3.6+, IE6+).  
* Designed with progressive enhancement in mind.  
* Includes [Normalize.css](http://necolas.github.com/normalize.css/) for CSS  
normalizations and common bug fixes.  
* The latest [jQuery](http://jquery.com/) via CDN, with a local fallback.  
* The latest [Modernizr](http://modernizr.com/) build for feature detection.  
* IE-specific classes for easier cross-browser control.  
* Placeholder CSS Media Queries.  
* Useful CSS helpers.  
* Default print CSS, performance optimized.  
* Protection against any stray `console.log` causing JavaScript errors in  
IE6/7.  
* An optimized Google Analytics snippet.  
* Apache server caching, compression, and other configuration defaults for  
Grade-A performance.  
* Cross-domain Ajax and Flash.  
* "Delete-key friendly." Easy to strip out parts you don't need.  
* Extensive inline and accompanying documentation.  
   
   
## Documentation  
   
Take a look at the [documentation table of  
contents](/h5bp/html5-boilerplate/blob/master/doc/README.md). This  
documentation is bundled with the project, which makes it readily available for  
offline reading and provides a useful starting point for any documentation  
you want to write about your project.  
   
   
## Contributing  
   
Anyone and everyone is welcome to  
[contribute](/h5bp/html5-boilerplate/blob/master/doc/contribute.md). Hundreds  
of developers have helped make the HTML5 Boilerplate what it is today.  
   
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file:a/index.md -> file:b/index.md
- tools.disclo.gs - how to use data #GovHack Toolkit
- developer tools inc. linked data  
- gephi -> neo4j  
- neo4j lets you build on, do massive queries of who is friends with who  
-  
- postgis/quantum gis  
- (google earth is alright but many limitations) NASA World Wind?  
- ABS statistical areas  
   
- scraperwiki with new pytemplate libraries  
- makes an API for your data to get in sqlite/json/csv  
   
- govhack library  
- https://graphics.stanford.edu/wikis/cs448b-12-fall/ data viz theory  
- http://drawingbynumbers.org/toolsandresources  
- http://wmbriggs.com/blog/?p=6465  
- http://ofps.oreilly.com/titles/9781449339739/k_00000002.html list of d3 alternatives  
- http://craigkerstiens.com/2012/10/01/understanding-postgres-performance/  
- https://github.com/clips/pattern for easy NLP/network analysis/data mining  
- https://github.com/theodi/open-data-tech-review/wiki othr cleanup/linked data toola  
- http://selection.datavisualization.ch/ data viz tools catalog  
- manipulating data - grep/find replace/sed/regex  
   
- data viz  
- http://k2company.com/blog/2012/09/06/toolbox-for-learning-machine-learning-and-data-science/  
- http://williamparry.blogspot.com.au/2011/04/putting-data-into-google-fusion-tables.html google fusion tutorial  
   
- http://www.slideshare.net/maxdemarzi/etl-into-neo4j  
   
   
- http://dydra.com/  
- http://selection.datavisualization.ch/ data viz tools list  
- http://nodexl.codeplex.com/ network graphs for excel  
- http://sunfoundation.tumblr.com/  
- analysing - linked data tools  
- http://govcampau.wikispaces.com/useful+tools  
- http://linkeddata.org/home  
   
   
Welcome to the GovHack toolkit. This page provides all the information you need to prepare hackfest entries. Welcome to the GovHack toolkit. This page provides all the information you need to prepare hackfest entries.
These tools can be used to make entries like: mobile apps, web apps, data visualisations/infographics These tools can be used to make entries like mobile apps, web apps and data visualisations/infographics.
   
  The text of this toolkit is open for reuse under a Creative Commons Attribution licence and improvements are encouraged via Git http://github.com/maxious/govhack-tools or via email patches to govhack@lambdacomplex.org
# General Data Hacking and Programming References {#general-data-hacking-and-programming-references}  
  # How to register and submit your entry
  ## Registering your team
  Coming Soon: how to use the website "Hacker Space" to register and find teams.
   
  ## Preparing your submission
   
  You should record a 3 minute speech and mix images/text to accompany.
  http://www.screenr.com/ and other screencasting tools allow you to demo apps.
  To mix together clips, you can use youtube video editor http://www.youtube.com/editor or local software like http://www.videolan.org/vlmc/ or http://www.lwks.com/
   
  You also need to submit your "source material". For an application this may be source code, for another work it might be your notes or prototypes.
  The key thing here is that your source material demonstrates to the judges that some of the end result was your own work and that it is possible for another person to replicate that work.
   
   
  # General References
   
   
## The basics of being a data scientist