# Asabeneh/30-Days-Of-Python

> A step-by-step 30-day Python learning challenge with daily topics, examples and exercises, covering basics through APIs, pandas and MongoDB. Aimed at beginners and professionals who want a structured path through the language.

- Magnitude: 3.0 out of 10 — Steady
- Stars: 77,208 total · +4 stars measured 2026-10-26, 11:33–13:14 UTC, ≈ 30 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: Python · Created: 2019-11-19 · Last push: 2026-09-30
- GitHub: https://github.com/Asabeneh/30-Days-Of-Python · Page: https://gitnova.dev/en/r/Asabeneh/30-Days-Of-Python

## Useful for

- Follow the 30-day Python course with daily exercises
- Learn pandas, API usage and MongoDB from ready-made lessons
- Use the repo as a self-study Python learning plan

## Why it’s here

- Star-counter measurements on 2026-10-26 (UTC), 11:33–13:14: 77204 → 77208 stars (+4). This is the change over that interval.
- Estimated end-of-day forecast: about +29 stars, using observed gains and the previous day.
- GitHub Trending Python today: #9, +110 stars.
- About 19 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 13,937
- Issues and pull requests: 810
- Watchers: 1,054
- Average over the last week: 87 per day
- Usual pace: 91 per day
- Stars in the last hour (measured): 0

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-27 … 2026-10-26: 75, 78, 88, 69, 89, 68, 77, 83, 110, 166, 157, 109, 98, 70, 89, 92, 85, 81, 87, 87, 87, 87, 88, 97, 83, 73, 88, 116, 122, 4

## Spotted in now

- GitHub Trending Python today: #9, +110 stars

## More in this category

1. **designfuchen/word-atlas** — 8.4 · Early signal · Learning & lists · TypeScript · +866 stars measured 2026-10-26, 00:11–13:10 UTC, ≈ 1,436 by evening
   A free, open-source PWA for memorizing 7,298 IELTS words, each with an original illustration, UK/US audio and example sentences, using FSRS spaced repetition with no login. The dataset is CC BY 4.0.
   Full card: https://gitnova.dev/en/r/designfuchen/word-atlas.md
2. **amosblomqvist/learnharness** — 7.7 · Breakout · Learning & lists · TypeScript · +249 stars measured 2026-10-26, 05:01–13:10 UTC, ≈ 485 by evening
   A desktop app that uses AI agents to plan and teach lessons from your current understanding to a goal, tracking progress in a persistent knowledge graph.
   Full card: https://gitnova.dev/en/r/amosblomqvist/learnharness.md
3. **luongnv89/claude-howto** — 6.2 · Breakout · Learning & lists · Python · +167 stars measured 2026-10-26, 00:11–13:10 UTC, ≈ 319 by evening
   A visual, example-driven guide to Claude Code with copy-paste templates: from basic commands to agents, hooks, skills, and MCP servers. Provides a structured learning path from beginner to power user.
   Full card: https://gitnova.dev/en/r/luongnv89/claude-howto.md
4. **agharsallah/esp-labs-web** — 5.0 · Early signal · Learning & lists · TypeScript · +44 stars measured 2026-10-26, 00:12–13:11 UTC, ≈ 83 by evening
   An interactive web guide to the ESP32-S3: 32 hands-on labs with in-browser simulators, a live pinout, a 3D board and a line-by-line reader for the esp-labs firmware. Available in 8 languages, including Arabic (RTL).
   Full card: https://gitnova.dev/en/r/agharsallah/esp-labs-web.md
5. **rohitg00/ai-engineering-from-scratch** — 4.9 · Steady · Learning & lists · Python · +305 stars measured 2026-10-26, 00:12–13:11 UTC, ≈ 547 by evening
   Open-source AI engineering curriculum: 523 lessons across 20 phases (~342 hours) in Python, TypeScript, Rust and Julia, where every lesson ships a reusable artifact such as a prompt, skill, agent or MCP server.
   Full card: https://gitnova.dev/en/r/rohitg00/ai-engineering-from-scratch.md

---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-26 13:24 UTC, updated every 30 minutes.