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<!DOCTYPE html>
<html>
<head>
<title>Computer Science Resources</title>
</head>
<body>
<h1>Computer Science Resources</h1>
<ol>
<li><a href="http://rosettacode.org/wiki/Rosetta_Code">Rosetta Code</a></li>
<li><a href="https://github.com/microsoft/AcademicContent">Microsoft Academy</a></li>
<li><a href="http://rosalind.info">Rosalind [Bioinformatics]</a></li>
<li><a href="https://greenteapress.com/wp/">Think *</a></li>
<li><a href="https://d2l.ai/index.html">Dive into Deep Learning</a></li>
<li><a
href="https://www.analog.com/en/search.html?q=*&Filters=resource_type_l2_fac_s:f8eadfaf64cf48afb4ad8b54198f6f2a_ff0fe204950d410a86fcfbe07d0464d8|resource_type_fac_s:f8eadfaf64cf48afb4ad8b54198f6f2a">Engineering
books</a></li>
<li><a href="http://matt.might.net/articles/what-cs-majors-should-know"><b>What every computer science major
should know</b></a></li>
<li><a href="https://scottlilly.com/learn-c-by-building-a-simple-rpg-index">Learn C# by Building a Simple
RPG</a></li>
<li><a href="https://natureofcode.com/book/introduction"><b>The Nature of Code</b></a></li>
<li><a href="https://linuxjourney.com/">LinuxJourney</a></li>
<li><a
href="https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf">Understanding
Machine Learning: From Theory to Algorithms</a></li>
<li><a href="http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/240415.pdf">Bayesian Reasoning and Machine
Learning</a></li>
<li><a href="http://introtodeeplearning.com">Intro to Deep Learning</a></li>
<li><a href="https://www.deeplearningbook.org">Deep Learning Book</a></li>
<li><a
href="https://training.linuxfoundation.org/training/a-beginners-guide-to-linux-kernel-development-lfd103">Linux
Kernel Development</a></li>
<li><a href="https://projecteuler.net">Project Euler</a></li>
<li><a href="https://codingbat.com">Codingbat Code Pratice</a></li>
<li><a href="http://www.codeabbey.com/index/task_list">Codeabby Conding Problems</a></li>
<li><a href="https://github.com/practical-tutorials/project-based-learning">Project Based Learning</a></li>
<li><a href="https://overthewire.org/wargames/bandit/">Bandit Wargame</a></li>
<li><a href="https://www.learn-php.org/">Learn PHP</a></li>
<li><a href="https://ctftime.org/">CTF time</a></li>
<li><a
href="http://www.datascienceassn.org/sites/default/files/Natural%20Language%20Processing%20with%20Python.pdf">Natural
Language Processing with Python</a></li>
<li><a href="http://programmingcomputervision.com/downloads/ProgrammingComputerVision_CCdraft.pdf">Programming
Computer Vision with Python</a></li>
<li><a href="https://lintool.github.io/MapReduceAlgorithms/MapReduce-book-final.pdf">Data-Intensive Text
Processing with MapReduce</a></li>
<li><a href="https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf">Reinforcement
Learning: An Introduction</a></li>
<li><a href="https://docs.google.com/file/d/0B6iefdnF22XQeVZDSkxjZ0Z5VUE/edit?pli=1">An Introduction to Data
Science</a></li>
<li><a href="http://linuxcommand.org/tlcl.php">The Linux Command Line</a></li>
<li><a href="https://www.cprogramming.com/tutorial/c-tutorial.html">C Programming</a></li>
<li><a href="https://pacman128.github.io/pcasm/">PC Assembly Book</a></li>
<li><a href="https://cryptohack.org">Cryptohack</a></li>
<li><a href="https://old.reddit.com/r/hacking/wiki/index">Hacking Wiki Old Reddit</a></li>
<li><a href="https://cryptopals.com">Cryptopals Challenge</a></li>
<li><a href="https://toc.cryptobook.us/book.pdf">A Graduate Course in Applied Cryptography</a></li>
<li><a href="http://mywiki.wooledge.org/BashGuide">Bash Guide</a></li>
<li><a href="https://portswigger.net/web-security">Web Security Academy</a></li>
<li><a href="https://tutorials.cyberaces.org/tutorials.html">SANS Cyber Aces Online Tutorials</a></li>
<li><a href="https://www.cybrary.it/">Cybrary</a></li>
<li><a href="http://opensecuritytraining.info/NetworkForensics.html">Introduction To Network Forensics</a></li>
<li><a href="http://williamstallings.com/Cryptography/index.html">Cryptography and Network Security</a></li>
<li><a href="https://www.snort.org">Snort</a></li>
<li><a href="https://openargus.org">Openargus</a></li>
<li><a
href="https://www.marktechpost.com/free-resources/?fbclid=IwAR2XJOTWGEdC9aFSRibXWZAZlLpJY9nmRnS_PDfNOgllc9o_mL3OxJaQleY">Free
AI Resources</a></li>
<li><a
href="https://vas3k.com/blog/machine_learning/?fbclid=IwAR3e3_Yy7LyEm7-Yqvuttx_zftCn5hL8NXBRSaut0gp7sT8AlxDbj-q3dNQ">Machine
learning for Everyone</a></li>
<li><a href="https://research.checkpoint.com/wp-content/uploads/2020/03/pwnable_writeup.pdf">A First
Introduction to System Exploitation</a></li>
<li><a href="https://sqlzoo.net">SQL Tutorial</a></li>
<li><a href="https://www.kaggle.com">Kaggle</a></li>
<li><a href="http://cyber.dabamos.de/programming/modernfortran">Modern Fortan Book</a></li>
<li><a href="http://www.brokenthorn.com/Resources/OSDevIndex.html">Operating System Development Series</a></li>
<li><a href="https://www.learn-c.org">Learn C</a></li>
<li><a href="https://www.learnpython.org">Learn Python</a></li>
<li><a href="https://www.cl.cam.ac.uk/teaching/1920/part1a-75.html">Cambridge Lectures Department of Computer
Science and Technology</a></li>
<li><a href="https://github.com/Developer-Y/cs-video-courses">Cs Video Course from github</a></li>
<li><a href="https://www.cs.uic.edu/~jbell/CourseNotes/OperatingSystems/">Operating System Notes</a></li>
<li><a href="https://web.stanford.edu/~hastie/ElemStatLearn/">Element of Statistical Learning</a></li>
<li><a href="https://open.umn.edu/opentextbooks/subjects/computer-science-information-systems">Opentextbook
Computer Science</a></li>
<li><a href="http://freecomputerbooks.com/">Freecomputerbooks</a></li>
<li><a href="https://www.freetechbooks.com/">Freetechbooks</a></li>
<li><a href="https://techbooksforfree.com/">Techbooksforfree</a></li>
<li><a href="https://learn.saylor.org/course/index.php?categoryid=9">Saylor courses</a></li>
<li><a href="https://openaccesstexts.com/computer-science/">openaccesstexts</a></li>
<li><a href="https://wiki.osdev.org/Tutorials">OS development</a></li>
<li><a href="https://www.blackhat.com/html/archives.html">Black Hat Archives</a></li>
<li><a
href="https://www.reddit.com/r/learnprogramming/comments/gicfez/learn_the_undergraduate_cs_core_online_for_free/">Reddit
- CS Core Online for Free</a></li>
<li><a href="https://crypto.stanford.edu/~dabo/courses/OnlineCrypto/">Standford Online Cryptography Course</a>
</li>
<li><a href="http://algorithmicbotany.org/"><b>Algorithmicbotany</b></a></li>
<li><a href="https://www.bbceng.info/Books/books.htm">BBCengineering</a></li>
<li><a href="https://github.com/csinn/CSharp-From-Zero-To-Hero">C# from 0 to hero</a></li>
<li><a href="http://www-cs-students.stanford.edu/~blynn/gitmagic">Standford gitmagic</a></li>
<li><a href="https://learnxinyminutes.com">Learnxinyminutes</a></li>
<li><a href="https://hbr.github.io/Lambda-Calculus/">Lambda Calcululs</a></li>
<li><a href="http://openworm.org/">Open Worm</a></li>
<li><a href="https://gist.github.com/stevenswafford/393c6ec7b5375d5e8cdc">Google dorking cheatsheet</a></li>
<li><a href="https://landing.google.com/sre/books/">Google SRE books</a></li>
<li><a href="https://beej.us/guide/bgnet/">Guide to network programming</a></li>
<li><a href="https://old.reddit.com/r/PrintedCircuitBoard/wiki/books">Old reddit electrical engineering</a></li>
<li><a href="https://plfa.github.io/">Programming Language Foundations in Agda</a></li>
<li><a href="https://www.cs.cmu.edu/~rwh/pfpl/2nded.pdf">Practical Foundations for Programming Languages</a>
</li>
<li><a href="https://softwarefoundations.cis.upenn.edu/">Softwarefoundations Books</a></li>
<li><a href="http://learnyouahaskell.com/">Learnyouahaskell</a></li>
<li><a href="https://machinelearningmastery.com/">Machinelearningmastery</a></li>
<li><a href="http://www.kareemalkaseer.com/books/ml/">Machine Learning and Big Data</a></li>
<li><a
href="https://github.com/mathematical-tours/mathematical-tours.github.io/tree/master/book-basics-sources">An
Introduction to Data Sciences</a></li>
<li><a href="https://paperswithcode.com/methods">AI/ML Papers</a></li>
<li><a href="https://mitpress.mit.edu/sites/default/files/sicp/index.html">Structure and Intrepretation of
Computer Programs</a></li>
<li><a href="http://greenteapress.com/thinkos/thinkos.pdf">Think OS</a></li>
<li><a href="https://greenteapress.com/wp/semaphores/">The Little Book of Semaphores</a></li>
<li><a href="http://www.catb.org/esr/writings/taoup/html/">The Art of Unix Programming</a></li>
<li><a href="https://www-cs-faculty.stanford.edu/~knuth/taocp.html">The Art of Computer Programming</a></li>
<li><a href="http://ibgwww.colorado.edu/~lessem/psyc5112/usail/concepts/hx-of-unix/unixhx.html">History of
Unix</a></li>
<li><a href="http://intronetworks.cs.luc.edu/">An Introduction to Computer Networks</a></li>
<li><a href="https://www.analog.com/en/education/education-library/software-defined-radio-for-engineers.html"><b>Education
Library - Software-Defined Radio for Engineers</b></a></li>
<li><a href="http://greenteapress.com/thinkjava6/thinkjava.pdf">Think Java</a></li>
<li><a href="http://pages.cs.wisc.edu/~remzi/OSTEP/">Operating Systems: Three Easy Pieces</a></li>
<li><a href="https://docs.python-guide.org/">The Hitchhiker's Guide to Python!</a></li>
<li><a href="http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/">Probabilistic
Programming & Bayesian Methods for Hackers</a></li>
<li><a href="https://golden.com/wiki/Cluster%3A_Artificial_intelligence-JNZDPNG">Golden - Cluster AI</a></li>
<li><a href="https://golden.com/wiki/Cluster%3A_Educational_technology-NMGXGJB">Golden Resources</a></li>
<li><a href="https://cses.fi/book/book.pdf">Competitive Programming Book</a></li>
<li><a href="https://ethernaut.openzeppelin.com/">EtherNaut</a></li>
<li><a href="https://overthewire.org/wargames/">Over The Wire</a></li>
<li><a href="https://cses.fi/">Code Submission Evaluation System</a></li>
<li><a href="https://teachyourselfcs.com/"><b>Teach Yourself Computer Science</b></b></a></li>
<li><a href="https://wportal.xyz/explore"><b>Wportal.xyz</b></a></li>
<li><a href="https://github.com/err0r500/foundational-knowledge-for-programmers">GitHub - Foundational knowledge
for programmers</a></li>
<li><a
href="https://www.reddit.com/r/hacking/comments/a3oicn/how_to_start_hacking_the_ultimate_two_path_guide/"><b>Reddit
- Start Hacking</b></a></li>
<li><a href="https://csea-iitb.github.io/IITBreachers-wiki/2020/08/01/Hacking-Sites.html"><b>Hacking
Sites</b></a></li>
<li><a href="https://pythonprogramming.net/"><b>pythonprogramming</b></a></li>
<li><a href="https://nsa.sfo2.digitaloceanspaces.com/comp3321.pdf">NSA Python Course</a></li>
<li><a href="https://github.com/veeral-patel/how-to-secure-anything">How to Secure Anything</a></li>
<li><a href="https://www.sebokwiki.org/wiki/Guide_to_the_Systems_Engineering_Body_of_Knowledge_(SEBoK)">Guide to
the Systems Engineering Body of Knowledge</a></li>
<li><a href="https://d.cxcore.net/Python/Python_Cookbook_3rd_Edition.pdf">Python Cookbook</a></li>
<li><a href="https://www.cs.upc.edu/~robert/teaching/estadistica/rprogramming.pdf">R Programming for Data
Science</a></li>
<li><a href="https://automatetheboringstuff.com/">Automate boring stuff with Python</a></li>
<li><a href="http://www.burns-stat.com/pages/Tutor/R_inferno.pdf">The R Inferno</a></li>
<li><a href="https://sites.ualberta.ca/~szepesva/papers/RLAlgsInMDPs.pdf">Algorithms for Reinforcement
Learning</a></li>
<li><a href="https://s3.ap-south-1.amazonaws.com/greyatom-social/The+Data+Science+Handbook.pdf">The Data Science
Handbook</a></li>
<li><a href="http://bedford-computing.co.uk/learning/wp-content/uploads/2016/09/artofdatascience.pdf">The Art of
Data Science</a></li>
<li><a href="http://faculty.marshall.usc.edu/gareth-james/ISL/">An Introduction to Statistical Learning</a></li>
<li><a href="https://www.cin.ufpe.br/~tfl2/artificial-intelligence-modern-approach.9780131038059.25368.pdf">Artificial
Intelligence A Modern Approach</a></li>
<li><a href="http://www.inference.org.uk/mackay/itprnn/book.html">Information Theory, Inference, and Learning
Algorithms</a></li>
<li><a href="http://szeliski.org/Book/drafts/SzeliskiBook_20100903_draft.pdf">Computer Vision: Algorithms and
Applications</a></li>
<li><a href="http://static.latexstudio.net/article/2018/0912/neuralnetworksanddeeplearning.pdf">Neural Networks
and Deep Learning</a></li>
<li><a href="http://www.gaussianprocess.org/gpml/chapters/RW.pdf">Gaussian Processes for Machine Learning</a>
</li>
<li><a href="https://web.stanford.edu/~hastie/ElemStatLearn//printings/ESLII_print10.pdf">The Elements of
Statistical Learning</a></li>
<li><a
href="ftp://ftp.ingv.it/pub/manuela.sbarra/Data%20Mining%20Practical%20Machine%20Learning%20Tools%20and%20Techniques%20-%20WEKA.pdf">Data
Mining: Practical Machine Learning Tools and Techniques</a></li>
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Cybersecurity</a></li>
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Decision Book: Fifty models for strategic thinking</a></li>
<li><a href="https://futurecoder.io/">futurecoder: Learn to code from scratch</a></li>
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<li><a href="https://github.com/openai/openai-cookbook">OpenAI cookbook</a></li>
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Implementations</a></li>
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<li><a href="https://arxiv.org/abs/2308.10825">Algebraic Topology for Data Scientists</a></li>
<li><a href = "https://www.openmymind.net/learning_zig/">Learning Zig</a></li>
<li><a href = "https://joseprupi.github.io/misc/2023/08/19/playing_with_genetic_algorithms_in_python.html">Playing with genetic algorithms in python</a></li>
<li><a href = "http://learnyouahaskell.com/chapters">Chapters - Learn You a Haskell for Great Good!</a></li>
<li><a href = "https://www.braveclojure.com/foreword/">Foreword - Clojure for the Brave and True</a></li>
<li><a href = "https://cs3110.github.io/textbook/cover.html">OCaml Programming</a></li>
<li><a href = "https://dev.realworldocaml.org/index.html">Real World OCaml</a></li>
<li><a href = "https://github.com/measuredco/puck">GitHub - measuredco/puck: The self-hosted drag and drop editor for React.</a></li>