24 days of Data Science tips, code snippets, and visual insights β one per day, from December 1st to 24th. Each day opens a new mini-tutorial in Python featuring pandas, NumPy, Matplotlib, Seaborn, and general data science best practices.
This project is a learning advent calendar built with html. Each βdayβ contains a short, focused tip β a concept explained with code, examples, and references. Itβs designed to be read in small doses: learn something new in under 5 minutes.
Example topics:
- πΌ Efficient
pandastricks - π Visualization design in
matplotlib&seaborn - β‘ Performance tuning & memory management
- π§ Practical data science patterns
data-science-advent-calendar-2025/
βββ docs/
β βββ index.html # Main calendar page
β βββ tips/ # One file per day (day1.html, day2.html, ...)
β βββ img/ # Images
βββ README.md # You are here
- Browse each day interactively in your browser.
- Copy and run code examples in your own Jupyter notebooks.
- Share favorite tips or open pull requests with improvements.
- Perfect for short daily learning breaks during December!
Contributions are welcome β new tips, corrections, or layout tweaks! Fork the repository and submit a pull request. To keep consistency:
- Write content in English.
- Use concise code examples (under 20 lines).
- Keep tone friendly, technical, and accurate.
Created and maintained by Ibon MartΓnez (@imarranz). Inspired by the joy of learning and sharing knowledge β one small tip at a time.