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rossant
awesome-math
Python2018–2025
rossant / awesome-math

awesome-math

A curated list of awesome mathematics resources

11Distinct people
12Mentions
0Explicit recommenders
17KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A curated list of awesome mathematics resources

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

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 4:00:59 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 year12 dated mentions

Observed mentions: 2018-01-07 11:37:24 UTC to 2025-07-27 01:26:21 UTC.

01232018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 2 submissions, 0 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC211
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC303
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC220
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC312
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

3 sources
rossant·Sep 4, 2024Submission

Ask HN: Programmers Who Want to Get Better at Math

I have some questions for programmers and software engineers who feel they're not good enough at math and want to improve, particularly with the goal of applying math to their current or future jobs, or who consider a career change. This might include fields like ML/AI, data science, graphics programming, video games, physics simulations, scientific and numerical computing, crypto, finance, signal processing, etc. As the creator of the Awesome Math resource [1], I'm looking to gather and organize math resources specifically for those who fit this description. If that's you, what are your main challenges? Why does math feel difficult? Do you struggle with math notation, similar to how adult musicians without formal training can find modern music notation difficult? What stops you from picking up a math textbook and working through it? Have
Read the rest
you ever tried that? What alternatives to traditional textbooks would work better for you? If you had to go back to the basics, what level would you start from? High school? Middle school? Elementary school? For example, are you comfortable with elementary algebra [2]—solving linear and quadratic equations, simplifying algebraic expressions with fractions and powers, etc.? If not, is this something you feel you need to master before moving on to more advanced math topics? If you could have a kind of survival guide before progressing to more advanced resources, what would you want included? What would be unnecessary? What topics would you want clearly explained? Which areas of math would you like covered—linear algebra, calculus, geometry, arithmetic, probability theory, combinatorics, something else? Do you know of any such guides? If you've tried them, what did you like about them, and what could be improved? Feel free to respond here, but if you'd like to stay in touch as I continue developing this long-term project, please also send me an email (see profile) and let me know what you're interested in. I may reach out again later as I make progress. [1] https://github.com/rossant/awesome-math [2] https://en.wikipedia.org/wiki/Elementary_algebra
15 points · Open discussion
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