totalavatar / Computer-Scientists-Toolkit

:man_scientist: :toolbox: Bare essentials for studying Computer Science — Algorithms and Data Structures — that I've been researching, reimplementing and refining for quick reference.

👨‍🔬 🧰 Computer Scientist's Toolkit

Animation by Étienne Jacob

🛠️ Bare essentials for studying Computer Science — Algorithms and Data Structures — that I've been researching, reimplementing and refining for quick reference.

Any contributions, corrections or optimizations are very welcome! 🤗

🔨 Algorithms

• 💾 Compression Algorithms

• ⛓️ Dynamic Programming Algorithms

• 🕹️ Game-Playing Algorithms

• 💠 Graph Algorithms

• 💰 Greedy Algorithms

• 🔐 Hashing Algorithms

• 📜 Mathematical Algorithms

  • 🤹‍♂️ Combinatorics

  • 🦾 Linear Algebra

  • 🧮 Number Theory

  • 🔀 Bit Manipulation

  • 🎲 Probability Theory

  • 🔢 Numerical Analysis

  • 🌌 Numerical Optimization

  • 🌐 Computational Geometry

• 🧩 Puzzle-Solving Algorithms

• 🔍 Search Algorithms

• 📊 Sorting Algorithms

  • 🤼 Comparison Sorts

    • 🥇 Linear Sorts

    • 🥈 Log-Linear Sorts

    • 🥉 Quadratic Sorts

  • 🧘 Non-Comparison Sorts

  • 💩 Embarrassingly Inefficient Sorts

• 🧬 String Algorithms

🔧 Data Structures

• 🚋 List Structures

• 🌳 Tree Structures

• 🚌 Array Structures

• 🗻 Heap Structures (coming soon...)

• 🗃️ Hashing Structures (coming soon...)

• 🧊 Geometric Structures (coming soon...)

• 🎰 Probabilistic Structures (coming soon...)

👨‍🏫 Learning Resources

• 🗃️ Rosetta Code

• 🃏 Big-O Cheatsheet

• 🗃️ E-Maxx Algorithms

• 👨‍💻 Bit-Twiddling Hacks

• 🗃️ LiteratePrograms Wiki

• 🃏 Algorithmic Cheatsheet

• 🗃️ Bit-Twiddling Resources

• 🃏 Data Structures Cheatsheet

• 📖 Algorithms by Jeff Erickson

• 🗃️ Mathematics Source Library

• 👨‍💻 Collection of C++ Algorithms

• 🗃️ The Arcane Algorithm Archive

• 👨‍🏫 Algorithms Course by Pat Morin

• 💭 Programming Blog by Ivan Kutskir

• 👨‍🏫 Algorithms Course by Frank Stajano

• 👨‍🏫 Data Structures Course by Pat Morin

• 💭 Programming Blog by Alesiani Marco

• 👨‍🏫 Algorithms Course by Damon Wischik

• 🗃️ Computer Science Guides by CodePath

• 👨‍🏫 Data Structures Course by Dave Mount

• 👨‍🏫 Discrete Structures Course by Pat Morin

• 🗃️ The Sound of Sorting by Timo Bingmann

• 🗃️ Dictionary of Algorithms and Data Structures

• 👨‍💻 Cosmos Codebase by OpenGenus Foundation

• 📺 CS Theory Toolkit Lectures by Ryan O'Donnell

• 👨‍🏫 Advanced Algorithms Course by David Karger

• 👨‍🏫 Advanced Data Structures Course by Pat Morin

• 📺 Advanced Algorithms Lectures by Jelani Nelson

• 📺 Computer Science Lectures by Ghassan Shobaki

• 👨‍🏫 Randomized Algorithms Course by David Karger

• 📺 Analysis of Algorithms Lectures by Steven Skiena

• 👨‍💻 Algorithms and Data Structures by Ravi Mandliya

• 👨‍🏫 Computational Geometry Course by Dave Mount

• 👨‍🏫 Advanced Data Structures Course by Dave Mount

• 📺 Advanced Algorithms Course by Michel Goemans

• 📺 Algorithms for Big Data Lectures by Jelani Nelson

• 👨‍🏫 Advanced Data Structures Course by Erik Demaine

• 👨‍💻 Algorithms by Robert Sedgewick and Kevin Wayne

• 🗃️ Algorithms and Data Structures by Douglas Harder

• 👨‍💻 Algorithms and Data Structures by Petar Veličković

• 👨‍🏫 Algorithmic Lower Bounds Course by Erik Demaine

• 🗃️ Computer Science Courses by Dr. Shun Yan Cheung

• 📖 The Computer Science Handbook by Michael Young

• 📺 Advanced Data Structures Lectures by Niema Moshiri

• 📺 Algorithms Illuminated Lectures by Tim Roughgarden

• 👨‍🏫 Geometric Folding Algorithms Course by Erik Demaine

• 👨‍🏫 Algorithms and Data Structures Course by Pavel Mavrin

• ✍️ Computational Geometry Course Notes by David Mount

• 📺 Computational Geometry Course by Philipp Kindermann

• 👨‍🏫 Applied Algorithms Course from University of Washington

• 🗃️ Data Structure and Algorithm Tutorials offered by Programiz

• 👨‍💻 Collection of Algorithms and Data Structures by William Fiset

• 👨‍🏫 Introduction to Algorithms Course from University of Washington

• 👨‍🏫 Algorithms Coursera Specialization offered by Stanford University

• 👨‍🏫 Topics in Theoretical Computer Science Course by Jonathan Kelner

• 📖 Distributed Algorithms Book by Juho Hirvonen and Jukka Suomela

• 👨‍🏫 Algorithms and Data Structures Course by Kevin Wayne and others

• 👨‍🏫 Algorithms Coursera Specialization offered by Princeton University

• 👨‍💻 Collection of Algorithms and Data Structures by Andrei Navumenka

• 👨‍🏫 Introduction to Algorithms Course by Erik Demaine and Srini Devadas

• 👨‍🏫 Data Structures and Algorithms Course from University of Washington

• 👨‍🏫 Design and Analysis of Computer Algorithms Course by Jonathan Katz

• 👨‍🏫 Computer Algorithms in Systems Engineering Course by George Kocur

• 👨‍🏫 Mathematics for Computer Science by Albert Meyer and Adam Chlipala

• 👨‍🏫 Introduction to Data Compression Course from University of Washington

• 👨‍🏫 Introduction to Mathematical Programming Course by Dimitris Bertsimas

• 📺 Efficient Programming with Components Lectures by Alexander Stepanov

• 👨‍🏫 Design and Analysis of Algorithms I Course from University of Washington

• 👨‍🏫 Design and Analysis of Algorithms II Course from University of Washington

• 👨‍🏫 Design and Analysis of Algorithms Course by Dana Moshkovitz and Bruce Tidor

• 👨‍🏫 Algorithms and Computational Complexity Course from University of Washington

• 👨‍🏫 Performance Engineering of Software Systems Course by Charles Leiserson and Julian Shun

• 👨‍🏫 Randomized Algorithms and Probabilistic Analysis Course from University of Washington

• 👨‍🏫 Design and Analysis of Algorithms Course by Erik Demaine, Srini Devadas and Nancy Lynch

• 👨‍🏫 Programming Parallel Computers Course by Jukka Suomela, Samuli Laine and Jaakko Lehtinen

• 👨‍🏫 Data Structures and Algorithms Coursera Specialization offered by University of California, San Diego (UCSD) and HSE University

• 👨‍🏫 Data Structures Stepik Course offered by University of California, San Diego (UCSD), the University of San Diego (USD) and the University of Puerto Rico (UPR)