ASasicsp·Jul 5, 2023
In Functions and algorithms implemented purely with TypeScript's type systemtayllan
awesome-algorithms
Learning & Reference2014–2023
tayllan / awesome-algorithms
awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
8Distinct people
16Mentions
0Explicit recommenders
25.7KGitHub stars
What to know before exploring
What it is
A curated list of awesome places to learn and/or practice algorithms.
GitHub
Where it is used
No documented product use was verified in the last source check.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
- bayandin/awesome-awesomeness · linked in 2 of the same discussions
- enjalot/algovis · linked in 2 of the same discussions
Mentioned in the same Hacker News threads. That is not proof they are substitutes.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by year16 dated mentions
Observed mentions: 2014-07-16 18:22:46 UTC to 2023-07-05 06:22:07 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2014 | 2014-01-01 00:00:00 UTC | 2015-01-01 00:00:00 UTC | 1 | 1 | 0 |
| 2015 | 2015-01-01 00:00:00 UTC | 2016-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2016 | 2016-01-01 00:00:00 UTC | 2017-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2017 | 2017-01-01 00:00:00 UTC | 2018-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 4 | 1 | 3 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 4 | 0 | 4 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 2 | 0 | 2 |
What Hacker News says
16 sourcesFor other languages, see https://github.com/tayllan/awesome-algorithms — resources to learn and/or practice algorithms
In JavaScript-algorithms: Algorithms and data structures implemented in JavaScriptSee also https://github.com/tayllan/awesome-algorithms for a list of interactive visualizations, learning resources, etc.
In Sorting algorithms visualized using the Blender Python APIawesome-algorithms
https://github.com/tayllan/awesome-algorithms#github-librari...
awesome-theoretical-computer-science > Machine Learning Theory, Physics; Grover's; and surely something is faster than Timsort:
https://github.com/mostafatouny/awesome-theoretical-computer...
In Changing std:sort at Google’s scale and beyondThere's a list of resources here: https://github.com/tayllan/awesome-algorithms
In Ask HN: How do I learn Data Structures and Algorithms> See also https://github.com/tayllan/awesome-algorithms for more learning resources, practice problems, visualizations, etc.
Oooo, nice. Thanks for the link!
In Algorithms by Jeff EricksonFrom https://jeffe.cs.illinois.edu/teaching/algorithms/hwex.html#...
>Please do not ask me for solutions. With very rare exceptions, I will say no, even if you are an instructor. I recognize that my stance limits the utility of these materials, especially for self-learners, but I'm trying to optimize the learning experience of my own students at Illinois. The point of homework is not to solve that particular homework problem, but to practice solving a type of problem and get honest feedback on your progress. I've found that when solutions are available, my own students are much more likely to rely on them, rather than trying to figure out the problems themselves, which means they get both less practice and less honest feedback, which means they do worse on exams and in the course overall.
Interesting. I was asked multiple times for soluti
Read the rest
ons to my self-pub ebooks that I relented. I didn't add them initially as I wanted readers to solve by themselves or ask for help if needed (and I did get a few mails, saw one of them asked on stackoverflow as well).
See also https://github.com/tayllan/awesome-algorithms for more learning resources, practice problems, visualizations, etc.
Check out this list: https://github.com/tuvtran/project-based-learning
I'd also suggest: https://github.com/tayllan/awesome-algorithms
In Ask HN: Project ideas to learn CS fundamentalsGood list of resources here:
https://github.com/tayllan/awesome-algorithms
In Ask HN: Which is that site which gives learning path for learning algorithmsMaybe this? https://github.com/tayllan/awesome-algorithms
In Ask HN: Which is that site which gives learning path for learning algorithmsThese aren't courses, but from answers to
"Ask HN: Recommended course/website/book to learn data structure and algorithms" :
Data Structure: https://en.wikipedia.org/wiki/Data_structure
Algorithm:https://en.wikipedia.org/wiki/Algorithm
Big O notation:https://en.wikipedia.org/wiki/Big_O_notation
Big-O Cheatsheet: http://bigocheatsheet.com
Coding Interview University > Data Structures: https://github.com/jwasham/coding-interview-university/blob/...
OSSU: Open Source Society University > Core CS > Core Theory > "Algorithms: Design and Analysis, Part I" [&2] https://github.com/ossu/computer-science/blob/master/README....
"Algorithms, 4th Edition" (2011; Sedgewick, Wayne): https://algs4.cs.princeton.edu/
Complexity Zoo > Petting Zoo (P, NP,): https://complexityzoo.uwaterloo.ca/Petting_Zoo
While perusing awesome-awesomeness [1], I found awesome
Read the rest
-algorithms [2] , algovis [3], and awesome-big-o [4].
[1] https://github.com/bayandin/awesome-awesomeness
[2] https://github.com/tayllan/awesome-algorithms
[3] https://github.com/enjalot/algovis
[4] https://github.com/okulbilisim/awesome-big-o
While perusing awesome-awesomeness [1], I found awesome-algorithms [2] , algovis [3], and awesome-big-o [4].
[1] https://github.com/bayandin/awesome-awesomeness
[2] https://github.com/tayllan/awesome-algorithms
[3] https://github.com/enjalot/algovis
[4] https://github.com/okulbilisim/awesome-big-o
In Ask HN: Recommended course/website/book to learn data structure and algorithmsKind of like this but with real world case studies: https://github.com/tayllan/awesome-algorithms
In Algorithms in the Real World: Host MatchingShowing the 15 most recent of 16 sources. Enable JavaScript to search and browse every indexed mention.