try/except blocks to prevent crashes. [5.9, 5.12] Project: An automated "Birthday Wisher" that reads a CSV and sends emails. Week 7: Working with APIs & Libraries Requests: Making HTTP requests to fetch external data. [33] Libraries: Introduction to NumPy for numerical data and Pandas for data analysis. [5.5, 5.7] Project: A "Stock Trading News Alert" system using real-time APIs. Week 8: Web Scraping & Automation Extraction: Using Beautiful Soup and Selenium for browser automation. [5.20] Automation: Scheduling scripts to run at specific times. Project: An automated "Amazon Price Tracker." 🚀 Phase 3: Specialization & Deployment (Weeks 9–12) Applying Python to modern industry fields. Week 9: Web Development with Flask/Django Frameworks: Building routes, templates, and handling forms. [5.1, 5.13] Database: Introduction to SQLite and SQLAlchemy. Project: A personal blog website or Portfolio site. Week 10: Data Science & AI Intro Analysis: Cleaning "messy" data with Pandas. [5.9] Visualization: Creating charts with Matplotlib and Seaborn. [5.1, 5.7] AI: Exploring local AI models with Ollama . [16] Week 11: Professional Workflow Git/GitHub: Version control, branching, and pull requests. [5.2, 5.11] Testing: Writing unit tests with Pytest . Project: Open-source contribution or team project. Week 12: Final Capstone Project Implementation: Building a full-stack application from scratch. Deployment: Hosting on platforms like Render or Heroku . Career: Resume building, LinkedIn optimization, and mock technical interviews. [31] Bootcamp Quick Reference Duration Weekly Time Commitment Difficulty Target Outcome 12 Weeks 15–20 Hours Beginner to Pro Junior Developer If you'd like to refine this further, let me know: Is this for a
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Python bootcamps are high-intensity, short-term training programs designed to turn beginners into career-ready developers. They typically cost between , with graduates often seeing significant salary increases. 🏆 Top Python Bootcamps for 2026 try/except blocks to prevent crashes