Learn Python from scratch with a structured 30-day curriculum and daily exercises.
Fill gaps in your Python knowledge by jumping to specific days covering functions, OOP, or data analysis.
Practice web scraping, Flask web development, and API consumption with real code examples.
Build a foundation in pandas and statistics for data analysis work.
30 Days of Python is a structured, self-paced programming course delivered as a GitHub repository that teaches Python from beginner to intermediate level over a 30-day curriculum. The problem it solves is that many people want to learn Python but struggle to find a single cohesive learning path that combines theory, practical examples, and exercises in one place without paying for a course or book. The course is organized as a series of 30 daily lessons, each covering a specific Python topic with explanations, code examples, and exercises at multiple difficulty levels. It starts with the very basics such as variables, data types, and built-in functions, and progresses through strings, lists, tuples, dictionaries, conditionals, loops, functions, object-oriented programming, file handling, exception handling, regular expressions, and web scraping. Later days venture into applied topics like statistics, the pandas library for data analysis, web development with Flask, working with MongoDB databases, consuming and building APIs, and virtual environments. Each day's content is written in easy-to-read Markdown with Python code snippets. The README notes that while the challenge is framed as 30 days, it may realistically take 100 days or more depending on your pace, and encourages participants to follow their own schedule. You would use this as a free, self-contained learning resource for Python, either as a beginner starting from scratch or as someone wanting to fill specific gaps in their knowledge. The tech stack is Python, with no special tooling required to follow along.
Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.