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* [DirectX manual](http://user.xmission.com/~legalize/book/download/index.html) (draft)
* [GPU Gems](https://developer.nvidia.com/gpugems/GPUGems/gpugems_pref01.html)
* [Graphics Programming Black Book](http://www.gamedev.net/page/resources/_/technical/graphics-programming-and-theory/graphics-programming-black-book-r1698)
* [Grokking the GIMP](http://gimp-savvy.com/BOOK/index.html)
* [Introduction to Modern OpenGL](https://open.gl)
* [Learn OpenGL](http://learnopengl.com) - Joey de Vries
* [Learning Modern 3D Graphics Programming](https://web.archive.org/web/20150225192611/http://www.arcsynthesis.org/gltut/index.html) (draft)
@ -394,8 +393,8 @@
* [Machine Learning, Neural and Statistical Classification](http://www1.maths.leeds.ac.uk/~charles/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)
* [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
* [Reinforcement Learning: An Introduction](http://incompleteideas.net/sutton/book/the-book.html)
* [The Elements of Statistical Learning](https://web.stanford.edu/~hastie/ElemStatLearn/) - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
* [The LION Way: Machine Learning plus Intelligent Optimization](http://www.e-booksdirectory.com/details.php?ebook=9575)
* [The Python Game Book](http://thepythongamebook.com/en%3Astart)
@ -433,7 +432,6 @@
* [Linear Algebra: An Introduction to Mathematical Discourse](https://en.wikibooks.org/wiki/Linear_Algebra) - Jim Hefferon
* [Mathematical Logic - an Introduction](http://www.ii.uib.no/~michal/und/i227/book/book.pdf) (PDF)
* [Mathematics, MTH101A](http://home.iitk.ac.in/~psraj/mth101/) - P. Shunmugaraj, IIT Kanpur
* [Notes on Differential Equations](http://www.math.cornell.edu/~bterrell/dn.pdf) - Robert E. Terrell (PDF)
* [Number Theory](https://github.com/holdenlee/number-theory) - Holden Lee MIT
* [OpenIntro Statistics](https://www.openintro.org/stat/textbook.php)
* [Ordinary Differential Equations](https://en.wikibooks.org/wiki/Ordinary_Differential_Equations)
@ -456,7 +454,7 @@
* [2016 Software Development Salary Survey](http://www.oreilly.com/programming/free/2016-software-development-salary-survey-report.csp) *(Just fill the fields with any values)*
* [97 Things Every Programmer Should Know - Extended](https://leanpub.com/97-Things-Every-Programmer-Should-Know-Extended)
* [A Mathematical Theory of Communication](https://archive.org/details/bstj27-4-623) - Claude E.Shannon
* [Ansible Up & Running (first three chapters)](https://www.ansible.com/blog/free-ansible-book) *(account required)*
* [Ansible Up & Running (first three chapters)](https://www.ansible.com/ebooks) *(account required)*
* [Asterisk™: The Definitive Guide](http://solmu.org/pub/help/Asterisk/3nd_Edition_for_Asterisk_1.8)
* [Barcode Overview](http://www.tec-it.com/download/PDF/Barcode_Reference_EN.pdf) (PDF)
* [Bitcoin and Cryptocurrency Technologies](https://d28rh4a8wq0iu5.cloudfront.net/bitcointech/readings/princeton_bitcoin_book.pdf) - Arvind Narayanan, Joseph Bonneau, Edward Felten, Andrew Miller, Steven Goldfeder (PDF)
@ -487,7 +485,6 @@
* [How Computers Work](http://www.fastchip.net/howcomputerswork/p1.html) - R. Young
* [How to Become a Programmer](http://softwarebyrob.wpengine.netdna-cdn.com/assets/Software_by_Rob%20_How_to_Become_a%20_Programmer_1.0.pdf) (PDF)
* [How to Think Like a Computer Scientist](http://openbookproject.net/thinkcs/) - Peter Wentworth, Jeffrey Elkner, Allen B. Downey, and Chris Meyers
* [I Am A Bug](http://www.amibug.com/iamabug/p01.html)
* [Image Processing in C: Analyzing and Enhancing Digital Images](http://homepages.inf.ed.ac.uk/rbf/BOOKS/PHILLIPS/) - Dwayne Phillips
* [Information Technology and the Networked Economy](http://florida.theorangegrove.org/og/file/49843a6a-9a9d-4bad-b4d4-d053f9cdf73e/1/InfoTechNetworkedEconomy.pdf) (PDF)
* [IRPF90 Fortran code generator](https://www.gitbook.com/book/scemama/irpf90/details) - Anthony Scemama
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* [Programming from the Ground Up](http://mirror.unicorncloud.org/savannah-nongnu//pgubook/ProgrammingGroundUp-1-0-booksize.pdf) (PDF)
* [Ralf Brown's Interrupt List](http://www.ctyme.com/rbrown.htm)
* [Software optimization resources](http://www.agner.org/optimize/) A. Fog
* [The Art of Assembly Language Programming](https://courses.engr.illinois.edu/ece390/books/artofasm/artofasm.html)
* [Wizard Code](http://vendu.twodots.nl/wizardcode.html)
* [x86 Assembly](https://en.wikibooks.org/wiki/X86_Assembly)
@ -883,7 +879,6 @@
### C Sharp
* [Beginners Guide to C# and the.NET Micro Framework](http://www.ghielectronics.com/downloads/FEZ/Beginners%20guide%20to%20NETMF.pdf) (PDF)
* [C# Essentials](http://www.techotopia.com/index.php/C_Sharp_Essentials)
* [C# Programming - Wikibook](https://en.wikibooks.org/wiki/C_Sharp_Programming)
* [C# Yellow Book](http://www.csharpcourse.com) (intro to programming)
@ -2174,11 +2169,6 @@ For resources on Angular, Backbone, D3, Dojo, Ember, Express, jQuery, Knockout,
* [Stef's Free Online Smalltalk Books](http://stephane.ducasse.free.fr/FreeBooks.html) (meta-list)
### Solidity
* [A 101 Noob Intro to Programming Smart Contracts on Ethereum](https://consensys.github.io/developers/articles/101-noob-intro/) - Eva Shon
### Spark
* [Databricks Spark Knowledge Base](https://www.gitbook.com/book/databricks/databricks-spark-knowledge-base/details)