OPEN SOURCE MINDSET

Module 1: Introduction to Open Source

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• What is Open Source?: Philosophy of open source, real-world examples, and why it matters in modern software
• Licenses & Legality: MIT, Apache, GPL — what they allow, restrict, and why choosing the right license matters
• The OS Ecosystem: Famous projects (Linux, Python, VS Code), companies that invest in open source, and career benefits
• Anatomy of a GitHub Repo: README, Issues, Pull Requests, Stars, Forks, Discussions — understanding every section of a repo

MODULE 1 ASSIGNMENT: EXPLORE & REPORT

Pick 3 popular open source projects, analyze their structure, licenses, and contributor activity, and write a brief comparison report.

Module 2: Python Fundamentals via Codebase

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• Why Learn Python Through Open Source: Instead of abstract tutorials, learn Python by reading real-world codebases — the way professional developers actually learn new languages
• Python Basics by Example: Variables, data types, control flow, functions, and classes — all taught by reading and annotating snippets from popular Python projects (Flask, requests, click, etc.)
• Reading Real Code: How to approach an unfamiliar Python file, trace imports, understand decorators, and follow execution flow in an actual open-source repository
• Hands-on Practice: Modify small parts of open-source Python code locally — fix a string, change a default, add a print statement — to build confidence and understanding

MODULE 2 ASSIGNMENT: LEARN BY READING

Pick a beginner-friendly Python open source project, read through its core module, and write an annotated guide explaining the Python concepts you learned directly from the source code.

Module 3: Reading & Understanding Open Source Code (using AI)

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• Navigating a Large Codebase: Folder structure conventions, reading changelogs, using GitHub search and blame to trace logic
• Using AI to Understand Code: Prompting Claude/ChatGPT to explain unfamiliar functions, debug errors, and map code flow
• Python Project Structure: Understanding __init__.py, setup.py, pyproject.toml, and running a project locally for the first time
• Issues & Roadmaps: Reading "good first issue" tags, tracking milestones, and understanding how maintainers plan releases

MODULE 3 ASSIGNMENT: CODE WALKTHROUGH

Pick any Python open source project, run it locally, and use AI to document a walkthrough of its core module — explaining what it does and how.

Module 4: Git & GitHub Version Control

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• Git from Scratch: init, add, commit, push, pull — understanding the full local-to-remote workflow with hands-on practice
• Branching & Merging: Creating feature branches, merging strategies, resolving merge conflicts without panic
• GitHub Collaboration Flow: Fork vs Clone, opening PRs, writing Issues, using Labels, and the GitHub Flow model
• Writing Great READMEs: Markdown deep dive, crafting a professional README, CONTRIBUTING.md, and CODE_OF_CONDUCT.md

MODULE 4 ASSIGNMENT: THE REPO OVERHAUL

Create a personal project repository featuring a polished README, contribution guidelines, and a clean, documented git history using proper branching.

Module 5: Make Your First Contribution

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• Types of Contributions: Documentation, translations, bug reports, unit tests, design — contributions go far beyond code
• Your First Code Fix: Fixing typos, adding tests, following code style guidelines (PEP8, linters, formatters)
• Working with Maintainers: Writing professional PR descriptions, responding to review feedback constructively, and respecting community norms
• Contribution Sprint: Finding an active project with open "good first issues" and pushing a real pull request live

MODULE 5 ASSIGNMENT: THE MERGE

Successfully get a Pull Request merged into a real open-source project — documentation fix, test addition, or a code improvement all count.

Module 6: Build Your Own Project

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• Learning by Reading Source: Using open source as a textbook — studying frameworks by reading their internals and design decisions
• Starting Your Own OS Project: Scoping a small CLI tool or utility, structuring it professionally, and writing a compelling README from day one
• CI/CD with GitHub Actions: Automating tests, linting, and releases — setting up a pipeline that runs on every push
• OS Programs & Final Showcase: GSoC, Outreachy, LFX Mentorship overview — and presenting your contribution + project to peers for feedback

MODULE 6 ASSIGNMENT: THE FINAL SHOWCASE

Present one open source contribution made and one project you built during the program, with a live demo and peer review session.