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# Implementation Guide for 16-Week Python Mastery Plan
## Weeks 1-4: Foundations
1. **Primary Resource**: Python Official Documentation
2. **Coding Practice**: LeetCode (Easy problems)
3. **Project**: Build a command-line task manager
- **Daily Activities**:
- Read 1-2 sections of Python documentation
- Solve 2-3 LeetCode easy problems
- Spend 30 minutes on project development
## Weeks 5-8: Intermediate Concepts
1. **Primary Resource**: "Python Cookbook" by David Beazley
2. **Coding Practice**: HackerRank Python Track
3. **Project**: Develop a simple web scraper
- **Daily Activities**:
- Study 1 recipe from Python Cookbook
- Complete 2-3 HackerRank challenges
- Spend 45 minutes on project development
## Weeks 9-12: Algorithms and Problem-Solving
1. **Primary Resource**: "Grokking Algorithms" by Aditya Bhargava
2. **Coding Practice**: LeetCode (Medium problems)
3. **Project**: Implement a pathfinding algorithm visualizer
- **Daily Activities**:
- Study 1 section from Grokking Algorithms
- Solve 1-2 LeetCode medium problems
- Spend 1 hour on algorithm implementation or project work
## Weeks 13-16: Advanced Concepts and Specialization
1. **Primary Resource**: "Fluent Python" by Luciano Ramalho
2. **Specialization**: Choose between Web Dev (Django), Data Science (Pandas/NumPy), or Machine Learning (Scikit-learn)
3. **Project**: Build a project in your chosen specialization
- **Daily Activities**:
- Study 1 chapter from Fluent Python
- Spend 1 hour on specialization study and practice
- Dedicate 1 hour to project development
- Participate in 1 mock interview per week (from week 14 onward)
## Continuous Practices
- Use Git for version control, committing code daily
- Spend 20 minutes daily reading open-source Python projects on GitHub
- Solve one coding challenge daily (alternate between HackerRank and LeetCode)
- Join a Python community (e.g., Python Discord) and engage weekly
## Weekly Reflection and Peer Interaction
- Spend 30 minutes each weekend reflecting on progress and adjusting goals
- Participate in one code review session per week (give and receive feedback)
- Join or organize a weekly Python study group or pair programming session
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### Complete Resource for Fine-Tuning Programming and Problem-Solving Skills
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