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Python-100-Days

Name: Python-100-Days
Author: jackfrued

Python - 100天从新手到大师

187,390 stars+177★ this week55,756 forksJupyter NotebookUpdated 7/29/2026100% free · open source

What it does

Python-100-Days is a comprehensive resource to learn Python programming from scratch to advanced levels within 100 days

When to use it

•When you're a non-technical founder looking to learn Python for data analysis or web development
•When you need to quickly upskill your team's Python programming skills
•When you're looking for a structured and comprehensive resource for Python learning

Ready-to-paste prompt

Open the '015.python_data_analysis.ipynb' file and run the cells to learn how to perform data analysis using Python

Heads up: Make sure you have Python 3.x and Jupyter Notebook installed on your system before cloning and running the repository, as the course materials are designed to work with these specific versions

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/python-100-days && curl -fsSL https://workflowstacks.com/api/skills/python-100-days/claude-skill -o ~/.claude/skills/python-100-days/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Python-100-Days works

Codeflow

Free to inspect

Python-100-Days is a very large Jupyter Notebook project (~369k lines across 82 code files). It is a full software project: use it through its install path rather than reading it end to end. Last commit a month ago, no license file, has a test suite.

Size

Very large codebase

~369k lines · 82 code files · days to read — use, don't read

Setup

Developer setup

A real software project. Use it via its install path; don't expect to read it all.

Runs on

Jupyter Notebook

No API keys detected

Jupyter Notebook 99%Python 1%

Where to start reading

1
README.md
Start here — what it does and how to install it

What's in each folder

Day66-80/Folder140 files

Day91-100/Folder71 files

Day31-35/Folder68 files

Day46-60/Folder62 files

Day36-45/Folder60 files

公开课/Folder59 files

Day01-20/Folder55 files

Day81-90/Folder54 files

READMEHas testsDocumentedNo CINo licenseUpdated this month