Week 1-2: Introduction to Python Basics
- Day 1-2: Introduction to Python, installing Python and an IDE (e.g., Anaconda, Jupyter Notebook, or Visual Studio Code)
- Day 3-4: Variables, data types (integers, floats, strings), and basic operations
- Day 5-7: Control flow (if statements, loops) and basic input/output
Week 3-4: Data Structures
- Day 1-2: Lists and list manipulation
- Day 3-4: Tuples, sets, and dictionaries
- Day 5-7: List comprehensions and basic file handling
Week 5-6: Functions and Modules
- Day 1-2: Functions (defining, calling, parameters, and return values)
- Day 3-4: Scope and lifetime of variables, global and local scope
- Day 5-7: Modules and importing in Python, creating your modules
Week 7-8: Object-Oriented Programming (OOP)
- Day 1-2: Introduction to OOP concepts (classes, objects, methods)
- Day 3-4: Creating and using classes in Python
- Day 5-7: Inheritance, polymorphism, and encapsulation
Week 9-10: Exception Handling and Error Checking
- Day 1-2: Introduction to exceptions and error handling
- Day 3-4: Handling exceptions with try-except blocks
- Day 5-7: Custom exceptions and raising exceptions
Week 11-12: File I/O and Data Manipulation
- Day 1-2: Reading and writing text files
- Day 3-4: Working with CSV and JSON data
- Day 5-7: Introduction to data serialization (pickle, JSON)
Week 13-14: Libraries and External Modules
- Day 1-2: Introduction to popular libraries (e.g., NumPy for numerical computing)
- Day 3-4: Working with data in external formats (e.g., Excel, databases)
- Day 5-7: Introduction to data visualization (e.g., Matplotlib, Seaborn)
Week 15-16: Web Development (Optional)
- Day 1-2: Introduction to web development with Python (e.g., Flask or Django)
- Day 3-4: Creating a basic web application
- Day 5-7: Handling forms, database integration, and REST APIs
Week 17-18: Advanced Topics
- Day 1-2: Multithreading and multiprocessing
- Day 3-4: Regular expressions for text processing
- Day 5-7: Testing and debugging techniques
Week 19-20: Final Projects and Review
- Day 1-14: Work on a small Python project that interests you.
- Day 15-20: Review and refine your Python skills, explore advanced topics further.
Week 21-22: Deployment and Version Control (Optional)
- Day 1-2: Version control with Git and GitHub
- Day 3-4: Preparing your Python project for deployment
- Day 5-7: Deploying your project to a cloud platform (e.g., Heroku, AWS)
Week 23-24: Data Science and Machine Learning (Optional)
- Day 1-2: Introduction to data analysis with Pandas
- Day 3-4: Introduction to machine learning with scikit-learn
- Day 5-7: Building a simple machine learning model
Week 25-26: Final Projects and Portfolio
- Day 1-14: Work on a more complex Python project to showcase your skills.
- Day 15-20: Create a portfolio showcasing your Python projects and what you’ve learned.