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@ -62,6 +62,7 @@
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* [Language Agnostic](#language-agnostic)
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* [Algorithms & Datastructures](#algorithms--data-structures)
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* [Cellular Automata](#cellular-automata)
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* [Cloud Computing](#cloud-computing)
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* [Compiler Design](#compiler-design)
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* [Database](#database)
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* [Datamining](#datamining)
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@ -107,6 +108,7 @@
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* [PC-BSD](#pc-bsd)
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* [Perl](#perl)
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* [PHP](#php)
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* [PicoLisp](#picolisp)
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* [PostgreSQL](#postgresql)
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* [PowerShell](#powershell)
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* [Processing](#processing)
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@ -239,6 +241,10 @@
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* [Cellular Automata Books](http://uncomp.uwe.ac.uk/genaro/Cellular_Automata_Repository/Books.html)
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####Cloud Computing
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* [Multi-tenant Applications for the Cloud, 3rd Edition](http://www.microsoft.com/en-us/download/details.aspx?id=29263)
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####Compiler Design
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* [Basics of Compiler Design (Anniversary Edition](http://www.diku.dk/~torbenm/Basics/) - Torben Mogensen
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* [Compilers and Compiler Generators: An Introduction with C++](http://www.scifac.ru.ac.za/compilers/) - P. D. Terry
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@ -269,7 +275,6 @@
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* [Introduction to Data Science](http://jsresearch.net/wiki/projects/teachdatascience/Teach_Data_Science.html) - Jeffrey Stanton
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* [Mining of Massive Datasets](http://infolab.stanford.edu/~ullman/mmds.html)
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* [School of Data Handbook](http://schoolofdata.org/handbook/)
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* [The Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/) - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
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* [Theory and Applications for Advanced Text Mining](http://www.intechopen.com/books/theory-and-applications-for-advanced-text-mining)
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@ -289,6 +294,7 @@
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* [A Course in Machine Learning](http://ciml.info/dl/v0_8/ciml-v0_8-all.pdf) (PDF)
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* [A First Encounter with Machine Learning](https://www.ics.uci.edu/~welling/teaching/ICS273Afall11/IntroMLBook.pdf) (PDF)
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* [AI Algorithms, Data Structures, and Idioms in Prolog, Lisp, and Java](http://wps.aw.com/wps/media/objects/5771/5909832/PDF/Luger_0136070477_1.pdf) - George F. Luger, William A Stubblefield
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* [An Introduction to Statistical Learning](http://www-bcf.usc.edu/~gareth/ISL/) - Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
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* [Artificial Intelligence | Machine Learning](http://see.stanford.edu/see/materials/aimlcs229/handouts.aspx) - Andrew Ng *(Notes, lectures, and problems)*
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* [Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage)
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* [Computer Vision: Algorithms and Applications](http://hackershelf.com/book/134/computer-vision-algorithms-and-applications/)
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@ -301,7 +307,12 @@
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* [Probabilistic Models in the Study of Language](http://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html) (Draft, with R code)
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* [Programming Computer Vision with Python](http://programmingcomputervision.com/)
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* [Reinforcement Learning: An Introduction](http://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html)
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* [The Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/) - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
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* [The Python Game Book](http://thepythongamebook.com/en:start)
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* [The LION Way: Machine Learning plus Intelligent Optimization](http://www.e-booksdirectory.com/details.php?ebook=9575)
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* [Introduction to Machine Learning](http://arxiv.org/abs/0904.3664v1)
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* [Machine Learning](http://www.intechopen.com/books/machine_learning)
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* [Inductive Logic Programming](http://www-ai.ijs.si/SasoDzeroski/ILPBook/)
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####Mathematics
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@ -797,11 +808,11 @@
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###Go
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* [The Go Tutorial](http://golang.org/doc/go_tutorial.html)
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* [Go by Example](https://gobyexample.com/)
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* [Learning Go](http://www.miek.nl/projects/learninggo/)
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* [An Introduction to Programming in Go](http://www.golang-book.com/)
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* [Go by Example](https://gobyexample.com/)
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* [Learning Go](http://archive.miek.nl/projects/learninggo/index.html)
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* [Network programming with Go](http://jan.newmarch.name/go/)
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* [The Go Tutorial](http://golang.org/doc/go_tutorial.html)
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###Gradle
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@ -886,6 +897,7 @@
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###Java
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* [Agile Java](http://www.langrsoft.com/ftp/agileJava/) - Jeff Langr
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* [Animation/Games in Java](http://www.heatonresearch.com/articles/series/3)
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* [Apache Jakarta Commons: Reusable Java Components](http://ptgmedia.pearsoncmg.com/images/0131478303/downloads/Iverson_book.pdf) - Will Iverson
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* [Artificial Intelligence - Foundation of Computational Agents](http://artint.info/html/ArtInt.html)
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@ -940,6 +952,7 @@
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* [JavaScript Garden](http://bonsaiden.github.io/JavaScript-Garden/) (Maintained by Tim Ruffles)
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* [JavaScript Patterns Collection](http://shichuan.github.io/javascript-patterns/) - Shi Chuan
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* [Javascript Succinctly, Syncfusion](http://www.syncfusion.com/resources/techportal/ebooks/javascript) (PDF, Kindle) *(Just fill the fields with any values)*
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* [Javascript the Right Way](https://github.com/braziljs/js-the-right-way)
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* [JS Robots](http://markdaggett.com/images/ExpertJavaScript-ch6.pdf)
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* [jQuery Fundamentals](http://jqfundamentals.com/book/) (starts with JavaScript basics)
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* [Leaflet Tips and Tricks: Interactive Maps Made Easy](https://leanpub.com/leaflet-tips-and-tricks) - Malcolm Maclean
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@ -970,9 +983,9 @@
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####D3.js
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* [Interactive Data Visualization for the Web](http://chimera.labs.oreilly.com/books/1230000000345/index.html) - Scott Murray
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* [D3 Tips and Tricks](https://leanpub.com/D3-Tips-and-Tricks)
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* [Dashing D3.js](https://www.dashingd3js.com/table-of-contents)
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* [Interactive Data Visualization for the Web](http://chimera.labs.oreilly.com/books/1230000000345/index.html) - Scott Murray
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* [Interactive Data Visualization with D3](http://alignedleft.com/tutorials/d3)
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@ -985,8 +998,8 @@
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####jQuery
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* [jQuery Succinctly, Syncfusion](http://www.syncfusion.com/resources/techportal/ebooks/jquery) (PDF, Kindle) *(Just fill the fields with any values)*
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* [jQuery Novice to Ninja](http://mediatheque.cite-musique.fr/MediaComposite/Debug/Dossier-Orchestre/ressources/jQuery.Novice.to.Ninja.2nd.Edition.pdf) (PDF)
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* [jQuery Succinctly, Syncfusion](http://www.syncfusion.com/resources/techportal/ebooks/jquery) (PDF, Kindle) *(Just fill the fields with any values)*
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####Knockout.js
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@ -994,11 +1007,11 @@
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####Node.js
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* [JavaScript and Node FUNdamentals](https://leanpub.com/jsfun/read) *(Leanpub - by Azat Mardanov)*
|
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* [Mastering Node.js](http://visionmedia.github.com/masteringnode/)
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* [Mixu's Node Book](http://book.mixu.net/node/)
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* [The Node Beginner Book](http://nodebeginner.org/)
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* [Node: Up and Running](http://chimera.labs.oreilly.com/books/1234000001808/index.html) - Tom Hughes-Croucher
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* [JavaScript and Node FUNdamentals](https://leanpub.com/jsfun/read) *(Leanpub - by Azat Mardanov)*
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* [The Node Beginner Book](http://nodebeginner.org/)
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###LaTeX
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@ -1185,6 +1198,7 @@ See also [TeX](#tex)
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###Parrot / Perl 6
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* [Using Perl 6](http://github.com/perl6/book/) (work in progress)
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* [Perl 6 Programming] (https://en.wikibooks.org/wiki/Perl_6_Programming)
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###PC-BSD
|
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@ -1239,6 +1253,11 @@ See also [TeX](#tex)
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* [PHP 5 Power Programming](http://www.informit.com/content/images/013147149X/downloads/013147149X_book.pdf)
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###PicoLisp
|
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* [PicoLisp by Example](http://www.scribd.com/doc/103733857/PicoLisp-by-Example)
|
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* [PicoLisp Works](http://www.scribd.com/doc/103732688/PicoLisp-Works)
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###PostgreSQL
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* [Practical PostgreSQL](http://www.commandprompt.com/ppbook/)
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@ -1330,7 +1349,6 @@ See also [TeX](#tex)
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* [Django by Example](http://www.lightbird.net/dbe/)
|
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* [Django by Example for Django 1.5](http://lightbird.net/dbe2/)
|
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* [Effective Django](http://effectivedjango.com/)
|
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|
* [Tango With Django](http://www.tangowithdjango.com/book/)
|
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|
* [Deploy Django](http://www.deploydjango.com)
|
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|
* [The Django Book](http://www.djangobook.com)
|
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* [Tango With Django](http://www.tangowithdjango.com/)
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@ -1426,6 +1444,7 @@ See also [TeX](#tex)
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* [Another tour of Scala](http://naildrivin5.com/scalatour)
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* [EAI Patterns with Actor Model](https://github.com/alexanderfefelov/eai-patterns-with-actor-model) - Vaughn Vernon
|
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* [Effective Scala](http://twitter.github.com/effectivescala/)
|
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* [Learning Scalaz](http://eed3si9n.com/learning-scalaz/)
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* [Pro Scala: Monadic Design Patterns for the Web](http://github.com/leithaus/XTrace/tree/monadic/src/main/book/content/)
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* [Program Transformation in Scala](http://homepages.cwi.nl/~ai/MScThesis-A-Izmaylova.pdf) - Anastasia Izmaylova
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* [Programming in Scala, First Edition](http://www.artima.com/pins1ed/)
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