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