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free-programming-books-de.md
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* [EJB 3 für Umsteiger: Neuerungen und Änderungen gegenüber dem EJB-2.x-Standard](http://bsd.de/e3fu/umfrage.html) - Heiko W. Rupp
* [Java 7 Mehr als eine Insel](http://openbook.galileocomputing.de/java7/)
* [Java ist auch eine Insel](http://openbook.galileocomputing.de/javainsel/)
* [JSFAtWork, JSF 2.0 und Apache MyFaces](http://jsfatwork.irian.at/book_de/)
* [Programmieren Java: Einführung](http://www.highscore.de/java/einfuehrung/)
* [Programmieren Java: Aufbau](http://www.highscore.de/java/aufbau/)

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* [Logiciels libres](#logiciels-libres)
* [Makefile](#makefile)
* [Méthodes de développment](#méthodes-de-développement)
* [Systèmes informatiques](#systèmes-informatiques)
* [Théorie des langages](#théorie-des-langages)
* [Assembleur](#assembleur)
* [Bash / Shell](#bash--shell)
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* [Scrum et XP depuis les tranchées](http://www.infoq.com/resource/news/2007/06/scrum-xp-book/en/resources/ScrumAndXpFromTheTrenches_French.pdf), par Henrik Kniberg
####Systèmes Informatiques
* [Systèmes Informatiques (C, Unix/Linux,...)](http://sinf1252.info.ucl.ac.be/), par Olivier Bonaventure ([sources](https://github.com/obonaventure/SystemesInformatiques))
####Théorie des langages
* [Compilation. Théorie des langages](http://www.lisyc.univ-brest.fr/pages_perso/leparc/Etud/Master/Compil/Doc/CoursCompilation.pdf) par Université de Bretagne Occidentale

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###Index
* [JAVA](#java)
* [HTML & CSS](#html-css)
* [Javascript](#javascript)
* [PHP](#php)
###java
* [JENI Programming](http://www.taryo.net/free-e-book-pemrograman-java-edisi-indonesia-lengkap.html)
###html-css
* [Belajar HTML dan CSS](http://www.ariona.net/ebook-belajar-html-dan-css/)

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* [Machine Learning, Neural and Statistical Classification](http://www1.maths.leeds.ac.uk/~charles/statlog/whole.pdf) (PDF) or [online version](http://www1.maths.leeds.ac.uk/~charles/statlog/) - This book is based on the EC (ESPRIT) project StatLog.
* [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com)
* [Probabilistic Models in the Study of Language](http://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html) (Draft, with R code)
* [Programming Computer Vision with Python](http://programmingcomputervision.com/)
* [Reinforcement Learning: An Introduction](http://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html)
* [The Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/) - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
* [The Python Game Book](http://thepythongamebook.com/en:start)
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####Mathematics
* [A First Course in Linear Algebra](http://linear.ups.edu/) - Robert A. Beezer
* [Advanced Data Analysis from an Elementary Point of View](http://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/)
* [Bayesian Methods for Hackers](https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers) - Cameron Davidson-Pilon
* [CK-12 Probability and Statistics - Advanced](http://www.ck12.org/book/Probability-and-Statistics---Advanced-%2528Second-Edition%2529/)
* [Calculus Made Easy](http://www.gutenberg.org/ebooks/33283) (PDF) - Silvanus P. Thompson
* [Category Theory for Computing Science](http://www.math.mcgill.ca/triples/Barr-Wells-ctcs.pdf) (PDF)
* [Collaborative Statistics](http://cnx.org/content/col10522/latest/)
* [Concepts & Applications of Inferential Statistics](http://vassarstats.net/textbook/)
* [Essentials of Metaheuristics](http://cs.gmu.edu/~sean/book/metaheuristics/) by Sean Luke

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* [egghead.io: Learn AngularJS with Tutorial Videos & Training](http://egghead.io)
* [egghead.io youtube channel: Learn AngularJS with Tutorial Videos & Training](https://www.youtube.com/user/johnlindquist)
* [Mastering AngularJS Directives](http://pascalprecht.github.com/slides/mastering-angularjs-directives/)
* [Seven-Part Introduction to Angular](http://ngokevin/blog/angular-1)
* [Seven-Part Introduction to Angular](http://ngokevin.com/blog/angular-1)
* [Unit Testing Best Practices in AngularJS](http://andyshora.com/unit-testing-best-practices-angularjs.html)