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@ -1588,13 +1588,14 @@ Books on general-purpose programming that don't focus on a specific language are
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* [Learn Markdown](https://www.gitbook.com/book/gitbookio/markdown/details) - Sammy P., Aaron O. (PDF) (EPUB) (MOBI)
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* [Learn Markdown](https://www.gitbook.com/book/gitbookio/markdown/details) - Sammy P., Aaron O. (PDF) (EPUB) (MOBI)
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### Mathematica
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### Mathematical
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* [Mathematica® programming: an advanced introduction](http://www.mathprogramming-intro.org) - Leonid Shifrin
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* [Mathematica® programming: an advanced introduction](http://www.mathprogramming-intro.org) - Leonid Shifrin
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* [Power Programming with Mathematica](http://mathematica.stackexchange.com/questions/16485/are-you-interested-in-purchasing-david-wagners-power-programming-with-mathemat/22724) - David B. Wagner
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* [Power Programming with Mathematica](http://mathematica.stackexchange.com/questions/16485/are-you-interested-in-purchasing-david-wagners-power-programming-with-mathemat/22724) - David B. Wagner
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* [Stephen Wolfram's The Mathematica Book](http://reference.wolfram.com/legacy/v5_2/)
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* [Stephen Wolfram's The Mathematica Book](http://reference.wolfram.com/legacy/v5_2/)
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* [Vector Math for 3d Computer Graphics](http://chortle.ccsu.edu/VectorLessons/index.html) (CC BY-NC)
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* [Vector Math for 3d Computer Graphics](http://chortle.ccsu.edu/VectorLessons/index.html) (CC BY-NC)
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* [Wolfram Mathematica Product Training: Wolfram U](https://www.wolfram.com/wolfram-u/catalog/product-training/mathematica/)
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* [Wolfram Mathematica Product Training: Wolfram U](https://www.wolfram.com/wolfram-u/catalog/product-training/mathematica/)
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* [Practical Statistics](https://github.com/Chandra0505/Data-Science-Resources/blob/master/machine-learning/Practical%20Statistics%20for%20Data%20Scientists.pdf) -Andrew Bruce, Peter Bruce, and Peter Gedeck
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### MATLAB
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### MATLAB
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@ -868,6 +868,7 @@ Kerridge (PDF) (email address *requested*, not required)
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* [Crypto 101 - Crypto for everyone](https://www.crypto101.io)
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* [Crypto 101 - Crypto for everyone](https://www.crypto101.io)
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* [Cryptography](https://en.wikibooks.org/wiki/Cryptography) - Wikibooks (HTML) *(:construction: in process)*
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* [Cryptography](https://en.wikibooks.org/wiki/Cryptography) - Wikibooks (HTML) *(:construction: in process)*
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* [CryptoParty Handbook](https://unglue.it/work/141611/)
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* [CryptoParty Handbook](https://unglue.it/work/141611/)
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* [Fuzzing Book](https://www.fuzzingbook.org) - Andreas Zeller, Rahul Gopinath, Marcel Böhme, Gordon Fraser, Christian Holler (HTML)
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* [Gray Hat Hacking: The Ethical Hacker's Handbook](https://pages.cs.wisc.edu/~ace/media/gray-hat-hacking.pdf) - Allen Harper, Jonathan Ness, Chris Eagle, Shon Harris, Gideon Lenkey, Terron Williams (PDF)
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* [Gray Hat Hacking: The Ethical Hacker's Handbook](https://pages.cs.wisc.edu/~ace/media/gray-hat-hacking.pdf) - Allen Harper, Jonathan Ness, Chris Eagle, Shon Harris, Gideon Lenkey, Terron Williams (PDF)
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* [Handbook of Applied Cryptography](https://cacr.uwaterloo.ca/hac/index.html)
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* [Handbook of Applied Cryptography](https://cacr.uwaterloo.ca/hac/index.html)
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* [How HTTPS works](https://howhttps.works) - dnsimple
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* [How HTTPS works](https://howhttps.works) - dnsimple
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@ -945,6 +946,7 @@ Kerridge (PDF) (email address *requested*, not required)
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* [Category Theory for Programmers](https://github.com/hmemcpy/milewski-ctfp-pdf) - Bartosz Milewski (PDF)
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* [Category Theory for Programmers](https://github.com/hmemcpy/milewski-ctfp-pdf) - Bartosz Milewski (PDF)
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* [Delftse Foundations of Computation](https://textbooks.open.tudelft.nl/textbooks/catalog/book/13) - Stefan Hugtenburgand, Neil Yorke-Smith @ TU Delft Open (PDF)
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* [Delftse Foundations of Computation](https://textbooks.open.tudelft.nl/textbooks/catalog/book/13) - Stefan Hugtenburgand, Neil Yorke-Smith @ TU Delft Open (PDF)
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* [Homotopy Type Theory: Univalent Foundations of Mathematics](https://homotopytypetheory.org/book/) (PDF)
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* [Homotopy Type Theory: Univalent Foundations of Mathematics](https://homotopytypetheory.org/book/) (PDF)
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* [Introduction to Theoretical Computer Science](https://files.boazbarak.org/introtcs/lnotes_book.pdf) - Boaz Barak (PDF)
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* [Introduction to Theory of Computation](https://cglab.ca/~michiel/TheoryOfComputation/) - Anil Maheshwari, Michiel Smid (PDF)
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* [Introduction to Theory of Computation](https://cglab.ca/~michiel/TheoryOfComputation/) - Anil Maheshwari, Michiel Smid (PDF)
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* [Models of Computation](https://cs.brown.edu/people/jes/book/) - John E. Savage
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* [Models of Computation](https://cs.brown.edu/people/jes/book/) - John E. Savage
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* [Principles of Programming Languages](https://web.archive.org/web/20150418034451/http://www.cs.jhu.edu/~scott/pl/book/dist/) - Scott F. Smith *(:card_file_box: archived)*
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* [Principles of Programming Languages](https://web.archive.org/web/20150418034451/http://www.cs.jhu.edu/~scott/pl/book/dist/) - Scott F. Smith *(:card_file_box: archived)*
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@ -526,6 +526,7 @@
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* [Advanced Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/advanceddataminingwithweka/)
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* [Advanced Data Mining with Weka MOOC](https://www.cs.waikato.ac.nz/ml/weka/mooc/advanceddataminingwithweka/)
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* [An Introduction to Data Science](https://www.udemy.com/course/an-introduction-to-data-science/)
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* [An Introduction to Data Science](https://www.udemy.com/course/an-introduction-to-data-science/)
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* [Practical Statistics for Data Science](https://github.com/Chandra0505/Data-Science-Resources/blob/master/machine-learning/Practical%20Statistics%20for%20Data%20Scientists.pdf) -Andrew Bruce, Peter Bruce, and Peter Gedeck
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* [Apache Airflow Tutorials](https://www.youtube.com/playlist?list=PLYizQ5FvN6pvIOcOd6dFZu3lQqc6zBGp2) - Tuan Vu
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* [Apache Airflow Tutorials](https://www.youtube.com/playlist?list=PLYizQ5FvN6pvIOcOd6dFZu3lQqc6zBGp2) - Tuan Vu
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* [Applied Data Science with Python](https://cognitiveclass.ai/learn/data-science-with-python) - CognitiveClass.ai
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* [Applied Data Science with Python](https://cognitiveclass.ai/learn/data-science-with-python) - CognitiveClass.ai
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* [Big Data Engineering Course](https://www.youtube.com/playlist?list=PLLa_h7BriLH2UYJIO9oDoP3W-b6gQeA12) - Data Engineering
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* [Big Data Engineering Course](https://www.youtube.com/playlist?list=PLLa_h7BriLH2UYJIO9oDoP3W-b6gQeA12) - Data Engineering
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@ -11,6 +11,8 @@
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* [Dart](#dart)
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* [Dart](#dart)
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* [Data Science](#data-science)
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* [Data Science](#data-science)
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* [Data Structures and Algorithms](#data-structures-and-algorithms)
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* [Data Structures and Algorithms](#data-structures-and-algorithms)
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* [Data Base And Management System](#data-base-and-management-system)
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* [DBMS] (#data-structures-and-algorithms)
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* [Docker](#docker)
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* [Docker](#docker)
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* [Git](#git)
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* [Git](#git)
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* [Go](#go)
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* [Go](#go)
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@ -143,6 +145,9 @@
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* [Data Structures and Algorithms Cheat Sheet - Cheatography](https://cheatography.com/burcuco/cheat-sheets/data-structures-and-algorithms/)
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* [Data Structures and Algorithms Cheat Sheet - Cheatography](https://cheatography.com/burcuco/cheat-sheets/data-structures-and-algorithms/)
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* [Data structures and algorithms study cheatsheets for coding interviews](https://www.techinterviewhandbook.org/algorithms/study-cheatsheet/)
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* [Data structures and algorithms study cheatsheets for coding interviews](https://www.techinterviewhandbook.org/algorithms/study-cheatsheet/)
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### Data Base And Management System
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* [DBMS Cheat Sheet](https://www.tutorialspoint.com/dbms/pdf/dbms_quick_guide.pdf) - DBMS
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### Docker
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### Docker
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