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MTrajK
coding-problems
Python2019–2025
MTrajK / coding-problems

coding-problems

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

2Distinct people
2Mentions
0Explicit recommenders
3.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

GitHub

Where it is used

No documented product use has been verified yet.

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

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 6:01:08 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 year2 dated mentions

Observed mentions: 2019-12-18 14:04:53 UTC to 2025-01-10 22:35:43 UTC.

012019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20222023-01-01 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): 0 mentions; 0 submissions, 0 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
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC110
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
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 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

1 sources
Racket: https://learnxinyminutes.com/racket/ Python: https://learnxinyminutes.com/python/ pyret? pyret: https://pyret.org/pyret-code/ : > Why not just use Java, Python, Racket, OCaml, or Haskell? IMHO fun educational learning languages aren't general purpose or production ready; and so also at this point in my career I would appreciate a more reusable language in a CS curriculum. Python isn't CS pure like [favorite lisp], but it is a language coworkers will understand, it supports functional and object-oriented paradigms, and the pydata tools enable CS applications in STEM. A lot of AI and ML code is written in Python, with C/Rust/Go. There's an AIMA Python, but there's not a pyret or a racket AIMA or SICP, for example. "Why MIT Switched from Scheme to Python (2009)" https://news.ycombinator.com/item?id=14167453 Computational thinking >
Read the rest
Characteristics: https://en.wikipedia.org/wiki/Computational_thinking#Charact... "Ask HN: Which school produces the best programmers or software engineers?" https://news.ycombinator.com/item?id=37581843 overleaf/learn/Algorithms re: nonexecutable LaTeX ways to specify algorithms: https://www.overleaf.com/learn/latex/Algorithms Book: "Classic Computer Science Algorithms in Python" coding-problems: https://github.com/MTrajK/coding-problems coding-interview-university: https://github.com/jwasham/coding-interview-university coding-interview-university lists "Computational complexity" but not "Computational thinking", which possibly isn't that different from WBS (work breakdown structure), problem decomposition and resynthesis, and the Scientific Method
In Northeastern's curriculum changes abandon fundamentals of computer science

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