explaingit

asabeneh/30-days-of-python

62,755PythonAudience · vibe coderComplexity · 1/5MaintainedSetup · easy

TLDR

A free, self-paced 30-day Python course with daily lessons, code examples, and exercises covering basics through web development and data analysis.

Mindmap

mindmap
  root((repo))
    What it does
      Daily lessons
      Code examples
      Exercises
    Topics covered
      Basics and data types
      Functions and OOP
      File and exception handling
      Web scraping
    Applied skills
      Data analysis with pandas
      Web development with Flask
      APIs and databases
    Learning format
      Self-paced
      Markdown lessons
      Multiple difficulty levels
    Audience
      Complete beginners
      Self-learners
      Gap fillers

Things people build with this

USE CASE 1

Learn Python from scratch with a structured 30-day curriculum and daily exercises.

USE CASE 2

Fill gaps in your Python knowledge by jumping to specific days covering functions, OOP, or data analysis.

USE CASE 3

Practice web scraping, Flask web development, and API consumption with real code examples.

USE CASE 4

Build a foundation in pandas and statistics for data analysis work.

Tech stack

Python

Getting it running

Difficulty · easy Time to first run · 5min
License could not be detected automatically. Check the repository's LICENSE file before use.

In plain English

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.

Copy-paste prompts

Prompt 1
I want to learn Python from the beginning. Walk me through the first week of 30-days-of-python and explain what I should focus on.
Prompt 2
Show me the pandas examples from 30-days-of-python and help me adapt them to analyze a CSV file I have.
Prompt 3
I'm stuck on the Flask web development section of 30-days-of-python. Can you explain how to build a simple web app using their examples?
Prompt 4
Help me work through the regular expressions exercises in 30-days-of-python and explain how to use them for text parsing.
Prompt 5
I want to skip ahead to the APIs section of 30-days-of-python. What prerequisites do I need and how do I build on those examples?
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