rhetenor/awesome-awesomeness
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

update lists

Browse Source
This commit is contained in:
Jonas Zeunert
2025-07-18 22:22:32 +02:00
parent 55bed3b4a1
commit 5916c5c074
3078 changed files with 331679 additions and 357255 deletions
Download Patch File Download Diff File Expand all files Collapse all files

45
terminal/algorithms
View File

@@ -1,4 +1,4 @@
 Awesome Algorithms
 Awesome Algorithms
A curated list of awesome places to learn and/or practice algorithms.
Inspired by awesome-awesomeness (https://github.com/bayandin/awesome-awesomeness) and all the other awesome Awesome libraries.
@@ -21,7 +21,7 @@
⟡ A Visual Guide to Graph Traversal Algorithms (https://workshape.github.io/visual-graph-algorithms/) - Interactive visualizations for learning how graph traversal algorithms work.
⟡ W3School (https://www.w3schools.in/data-structures-tutorial/intro/) - Data Structures tutorial.
⟡ CodeChef (https://www.codechef.com/LEARNDSA/) - Learning DSA by practice on Codechef
⟡ CodeChef (https://www.codechef.com/roadmap/algorithms) - Learning DSA by practice on Codechef
⟡ Algorithm Visualizer (http://algo-visualizer.jasonpark.me/) - Dozens of animated algorithms (with code), and you can also create your own.
⟡ Algorithms Visualization (http://bost.ocks.org/mike/algorithms/) - A dense article on Algorithms Visualization.
⟡ Big-O Cheat Sheet (http://bigocheatsheet.com/) - Big-O complexities of common algorithms used in Computer Science.
@@ -45,12 +45,10 @@
High Quality Courses and tutorials on youtube
⟡ Tim Roughgarden. Algorithms Illuminated (https://www.algorithmsilluminated.org/) - Tim Roughgarden, a pioneer of computer science, offers a companion to his book, with lecture videos and slides.
⟡ FreeCodeCamp - Algorithms and Data Structures Tutorial - Full Course for Beginners (https://www.youtube.com/watch?v=8hly31xKli0) - Complete beginner friendly Algorithms and Data Structures Tutorial with mindblowing animation.
⟡ Abdul Bari - Introduction to Algorithm
 (https://www.youtube.com/watch?v=0IAPZzGSbME&list=PLDN4rrl48XKpZkf03iYFl-O29szjTrs_O) - This playlist is so much informative and provide simulation with code example. As like as you are in a class.
⟡ Jenny's Lectures- Algorithm (https://www.youtube.com/watch?v=AT14lCXuMKI&list=PLdo5W4Nhv31bbKJzrsKfMpo_grxuLl8LU) - Another complete alogrithm playlist from basic level to intermediate. Easy explanation and simulation.
⟡ Abdul Bari - Introduction to Algorithm (https://www.youtube.com/watch?v=0IAPZzGSbME&list=PLDN4rrl48XKpZkf03iYFl-O29szjTrs_O) - This playlist is so much informative and provide simulation with code example. As like as you are in a class.
⟡ Jenny's Lectures- Algorithm (https://www.youtube.com/watch?v=AT14lCXuMKI&list=PLdo5W4Nhv31bbKJzrsKfMpo_grxuLl8LU) - Another complete algorithm playlist from basic level to intermediate. Easy explanation and simulation.
Online Courses
@@ -62,12 +60,12 @@
⟡ Algorithms: Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming (https://www.coursera.org/learn/algorithms-greedy) - The primary topics are: greedy algorithms and dynamic programming.
⟡ Algorithms: Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
 (https://www.coursera.org/learn/algorithms-npcomplete) - The primary topics are: shortest paths, NP-completeness and what it means for the algorithm designer, and strategies for coping with computationally intractable problems.
⟡ Algorithms, Part I (https://www.coursera.org/learn/algorithms-part1/home/welcome) - This course covers the essential information that every serious programmer needs to know about algorithms and data structures. Part I covers 
elementary data structures, sorting, and searching algorithms. 
⟡ Algorithms, Part I (https://www.coursera.org/learn/algorithms-part1/home/welcome) - This course covers the essential information that every serious programmer needs to know about algorithms and data structures. Part I covers elementary data 
structures, sorting, and searching algorithms. 
⟡ Algorithms, Part II (https://www.coursera.org/learn/algorithms-part2) - Part II focuses on graph- and string-processing algorithms.
⟡ Khan Academy Algorithms (https://www.khanacademy.org/computing/computer-science/algorithms) - Algorithm course ministered by Tomas Cormen and Devin Balkcom.
⟡ MIT - 6-006 (https://ocw.mit.edu/courses/6-006-introduction-to-algorithms-fall-2011/video_galleries/lecture-videos/) - Well explained algorithms.
⟡ MIT - 6-046j (http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005/video-lectures/) - Similar to the previous one, but with different algorithms.
⟡ MIT - 6-046j (https://ocw.mit.edu/courses/6-046j-introduction-to-algorithms-sma-5503-fall-2005/video_galleries/video-lectures/) - Similar to the previous one, but with different algorithms.
⟡ MIT - 6-00sc (http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00sc-introduction-to-computer-science-and-programming-spring-2011/index.htm) - An easy and well-explained introduction to algorithms.
⟡ MIT 18-409 - Topics in Theoretical Computer Science: An Algorithmist's Toolkit
 (https://ocw.mit.edu/courses/18-409-topics-in-theoretical-computer-science-an-algorithmists-toolkit-fall-2009/) - It covers a collection of geometric techniques that apply broadly in modern algorithm design.
@@ -89,27 +87,28 @@
⟡ Data Structures Using C (http://www.amazon.com/Data-Structures-Using-Aaron-Tenenbaum/dp/0131997467) - The basic concepts and usages of data structures.
⟡ Elementary Algorithms (https://github.com/liuxinyu95/AlgoXY) - An awesome book about algorithms and data structures.
⟡ Grokking Algorithms (http://www.manning.com/bhargava) - An illustrated book on algorithms with practical examples.
⟡ Introduction to Algorithms (http://mitpress.mit.edu/books/introduction-algorithms) - Essential!
⟡ Introduction to Algorithms (https://mitpress.mit.edu/9780262046305/introduction-to-algorithms/) - Essential!
⟡ Real World Algorithms: A Beginner's Guide (https://mitpress.mit.edu/books/real-world-algorithms) - An introduction to algorithms for readers with no background in advanced mathematics or computer science.
⟡ Swift Algorithms & Data Structures (http://shop.waynewbishop.com/) - A practical guide to concepts, theory, and code.
⟡ The Algorithm Design Manual (http://www.algorist.com/) - Easy to read and full of real-world examples.
⟡ The Art of Computer Programming (http://www-cs-faculty.stanford.edu/~uno/taocp.html) - The Book.
⟡ Structure and Interpretation of Computer Programs (https://mitpress.mit.edu/books/structure-and-interpretation-computer-programs-second-edition)
⟡ Algorithms and Data Structures in Action (https://www.manning.com/books/algorithms-and-data-structures-in-action) - A different and a great way to introduce algorithms and data structures that can be used at work.
⟡ Advanced Algorithms and Data Structures (https://www.manning.com/books/advanced-algorithms-and-data-structures) - A different and a great way to introduce algorithms and data structures that can be used at work.
⟡ Algorithmic Puzzles (https://www.amazon.com/Algorithmic-Puzzles-Anany-Levitin/dp/0199740445) - A very accessible illustration of algorithms in the forms of puzzles. No programming experience is required!
⟡ Standford CS166 (https://web.stanford.edu/class/cs166/) - Standford CS166, a course in the design, analysis, and implementation of data structures.
⟡ Grokking Data Structures
 (https://www.manning.com/books/grokking-data-structures) - Grokking Data Structures carefully guides you from the most basic data structures like arrays or linked lists all the way to powerful structures like graphs. It’s perfect for beginners.
Algorithm Analysis
- Sedgewick & Flajolet. An Introduction to the Analysis of Algorithm (https://www.amazon.com/Introduction-Analysis-Algorithms-Introdu-Algori_p2-ebook/dp/B00B3TB7IQ) - Am advanced complete survey, intended only for the mathematically 
matured reader.
- Sedgewick & Flajolet. An Introduction to the Analysis of Algorithm (https://www.amazon.com/Introduction-Analysis-Algorithms-Introdu-Algori_p2-ebook/dp/B00B3TB7IQ) - Am advanced complete survey, intended only for the mathematically matured 
reader.
- McConnell. Analysis of Algorithms (https://www.amazon.com/Analysis-Algorithms-Jeffrey-McConnell/dp/0763707821) - A very accessible and brief book on algorithms analysis, with implemented code included.
- Vrajitoru & Knight. Practical Analysis of Algorithms (https://www.amazon.com/Practical-Analysis-Algorithms-Undergraduate-Computer/dp/331909887X) - A very accessible and brief book on algorithms analysis, with implemented code 
included.
- Vrajitoru & Knight. Practical Analysis of Algorithms (https://www.amazon.com/Practical-Analysis-Algorithms-Undergraduate-Computer/dp/331909887X) - A very accessible and brief book on algorithms analysis, with implemented code included.
Randomized Algorithms
- Motwani & Raghavan. Randomized Algorithms (https://www.amazon.com/Randomized-Algorithms-Rajeev-Motwani/dp/0521474655) - A standard classic book.
- Mitzenmacher & Upfal. Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis (https://www.amazon.com/Probability-Computing-Randomization-Probabilistic-Techniques-ebook/dp/B06X9YBMFK) - 
Standard text for probability methods and their applications on randomized algorithms.
- Mitzenmacher & Upfal. Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis (https://www.amazon.com/Probability-Computing-Randomization-Probabilistic-Techniques-ebook/dp/B06X9YBMFK) - Standard 
text for probability methods and their applications on randomized algorithms.
Cheat Sheets
⟡ Tech Interview Cheat Sheet (https://github.com/TSiege/Tech-Interview-Cheat-Sheet)
@@ -196,10 +195,11 @@
⟡ A2 Online Judge (https://a2oj.com/) - Online Judge and problem archive.
⟡ ACM-ICPC Live Archive (https://icpcarchive.ecs.baylor.edu/) - Hundreds of problems from previous ACM-ICPC Regionals and World Finals.
⟡ AIZU ONLINE JUDGE (http://judge.u-aizu.ac.jp/onlinejudge/) - Japanese Online Judge.
⟡ AIZU ONLINE JUDGE (https://onlinejudge.u-aizu.ac.jp/) - A Japanese online judge from the University of Aizu, offering a wide range of algorithmic challenges.
⟡ Algo Muse (http://www.algomuse.appspot.com) - Research-based algorithmic problems. 
⟡ AtCoder (https://atcoder.jp/) - Japanese programming contest website.
⟡ Baekjoon Online Judge (https://www.acmicpc.net/) - Korean Online Judge. 10000+ problems. Supports 60+ languages.
⟡ Beecrowd (https://judge.beecrowd.com/) - The Largest Competitive Programming and Online Code Judgement Platform in Latin America.
⟡ CS Academy (https://csacademy.com/) - Holds online contests and IOI practice contests
⟡ CodeChef (https://www.codechef.com/) - More problems and monthly online contests.
⟡ Codeforces  (http://codeforces.com/) - The only programming contests Web 2.0 platform
@@ -218,6 +218,7 @@
⟡ LavidaOnlineJudge (http://judge.lavida.us) - Korean Online Judge(Half English). 1300+ problems.
⟡ Learneroo Algorithms Tutorials (https://www.learneroo.com/subjects/8) - Learn and practice algorithms by solving challenges online.
⟡ LeetCode (https://leetcode.com/) - Learn algorithms and prepare for interviews.
⟡ Paiza (https://paiza.jp/) - A Japanese platform offering coding challenges and career preparation.
⟡ PKU JudgeOnline (http://poj.org/) - Chinese Online Judge.
⟡ ProjectEuler (https://projecteuler.net/) - Mathematical problems that can be solved using algorithms (or just a pencil, depending on how much you already know).
⟡ Rosalind (http://rosalind.info/problems/locations/) - A platform for learning bioinformatics and programming through problem-solving.
@@ -249,8 +250,8 @@
Related Awesome Lists
- Math (https://github.com/rossant/awesome-math#readme) - Freely available lecture notes on mathematics.
- Theoretical Computer Science (https://github.com/mostafatouny/awesome-theoretical-computer-science/blob/main/README.md) - The interdisciplinary of Mathematics and Computer Science, Distinguished by its emphasis on mathematical 
technique and rigour.
- Theoretical Computer Science (https://github.com/mostafatouny/awesome-theoretical-computer-science/blob/main/README.md) - The interdisciplinary of Mathematics and Computer Science, Distinguished by its emphasis on mathematical technique and 
rigour.
License
@@ -260,3 +261,5 @@
!Creative Commons License (http://i.creativecommons.org/l/by/4.0/88x31.png) (http://creativecommons.org/licenses/by/4.0/)
This work is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
algorithms Github: https://github.com/tayllan/awesome-algorithms