Welcome to my personal roadmap to mastering Python — from the ground up to full-stack wizardry, AI engineering, and automation ninja. This repo is a reflection of my dedication, growth, and the challenges I’ve tackled along the way.
- 🧱 Duration: 16 Weeks (10 hours/day)
- 🚀 Tracks: Web Development, Automation, AI, Data Science
- 🎯 Goal: Become a full-stack Python engineer with production-ready skills
- 📚 Format: Weekly goals, daily missions, mini-projects, challenges
| Phase | Weeks | Focus Area |
|---|---|---|
| Core Python Foundations | 1–2 | Syntax, logic, data structures, OOP basics |
| Web Development & Automation | 3–5 | Flask, Django, APIs, scripting |
| Data Wrangling & Viz | 6–7 | Pandas, NumPy, Matplotlib, Streamlit |
| ML & NLP Essentials | 8–10 | Scikit-learn, TextBlob, NLTK, spaCy |
| Full-Stack Projects | 11–13 | Web + AI + Database + Deployments |
| DevOps & Testing | 14 | Docker, pytest, CI/CD, GitHub Actions |
| Portfolio & Capstone | 15–16 | Resume-ready apps & documentation |
python_mastery_weeks1_16.md– Full 16-week roadmap (Markdown version)roadmap.pdf– Downloadable PDF version/projects/– Weekly mini-projects and capstone work (coming soon!)/resources/– Docs, tutorials, practice links
- Build and deploy a REST API using Flask & Docker
- Automate data scraping and analysis workflows
- Create a Streamlit dashboard with live charts
- Train ML models to classify text and predict outcomes
- Capstone: Full-stack AI productivity tool 💡
This isn’t just a curriculum — it’s proof of discipline, curiosity, and the drive to create. Every checkbox completed means one more level unlocked.
Feel free to fork, adapt, or be inspired — but always make it yours.
💻 Connect with me via LinkedIn | 📬 Suggestions? Open an issue or pull request
🐍 Python, we’re coming for your final boss fight.