A Mandarin diary that teaches Python one checked box at a time

What it does

Girls-In-AI is a Mandarin-language curriculum that takes absolute beginners from GitHub signup through Python variables, data types, and control flow, then into Pandas, Matplotlib, and NumPy. The material is delivered as a phased syllabus of Jupyter Notebooks and Markdown files styled as a “machine learning diary.” It targets Windows and macOS users running Anaconda with Python 3.

The interesting bit

Each lesson is framed as a diary entry you check off, marked “熟肉” (completed) or “生肉” (raw) to set honest expectations about what is ready. The project is also openly mission-driven: it was built to encourage more women to become AI engineers, and it anchors its community on Weibo rather than the usual Western platforms.

Key highlights

• Day-by-day structure starting from true zero (registering a GitHub account)
• Original beginner Python track with its own notebooks and explanations through Day 19
• Explicit focus on lowering the barrier for women entering tech
• Many intermediate data-analysis lessons link out to donnemartin’s data-science-ipython-notebooks rather than recreating them
• Heavy use of Jupyter Notebooks for a “learn by doing” approach

Caveats

• A large portion of the visible syllabus is unchecked “生肉” (raw), with some entries merely linking to external repositories
• The provided README truncates after the data-analysis phase, so machine-learning and deep-learning tracks are promised but not demonstrated in the visible source

Verdict

Great for Mandarin-speaking beginners—especially women—who want a structured, checklist-style introduction to Python data science. Experienced developers or anyone looking for a finished, self-contained course will find too many gaps and external redirects.