Comprehensive Curriculum to help you learn Python

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.