Day 1: Introduction to Python

  • Overview of Python
  • Setting up Python environment
  • Basic syntax and variables
  • Simple data types: int, float, str

Day 2: Control Flow and Loops

  • Conditional statements (if, elif, else)
  • Loop structures (for, while)
  • Control flow in Python

Day 3: Functions and Modules

  • Creating functions in Python
  • Function parameters and return values
  • Introduction to Python modules

Day 4: Data Structures in Python

  • Lists, tuples, and sets
  • Working with dictionaries
  • List comprehensions

Day 5: File Handling

  • Reading and writing files in Python
  • File modes and handling exceptions
  • Practical file handling exercises

Day 6: Object-Oriented Programming (OOP) Basics

  • Understanding classes and objects
  • Constructors and methods
  • Inheritance and polymorphism

Day 7: Introduction to Flask (Web Framework)

  • Setting up a Flask project
  • Creating routes and handling requests
  • Basic HTML integration

Day 8: Flask Templates and Forms

  • Jinja2 templating engine
  • Building forms in Flask
  • Handling form submissions

Day 9: Database Integration with Flask

  • Introduction to SQLite
  • Connecting Flask with databases
  • Basic CRUD operations

Day 10: Introduction to Django (Web Framework)

  • Django project structure
  • Creating Django apps
  • Models, views, and templates in Django

Day 11: Django Forms and Admin Interface

  • Building forms in Django
  • Utilizing Django admin interface
  • Customizing admin views

Day 12: Django ORM and Database Interaction

  • Django ORM for database operations
  • Migrations and database schema
  • Querying data in Django

Day 13: RESTful APIs with Django

  • Building RESTful APIs
  • Serializers and views in Django REST framework
  • Consuming APIs with Python requests library

Day 14: Introduction to Testing in Python

  • Importance of testing
  • Unit testing with Python’s unittest
  • Writing test cases for Python code

Day 15: Advanced Python Concepts

  • Decorators and generators
  • Context managers in Python
  • Advanced topics exploration

Day 16: Version Control with Git

  • Introduction to Git
  • Git basics: commit, push, pull
  • Branching and merging in Git

Day 17: Working with Virtual Environments

  • Understanding virtual environments
  • Creating and activating virtual environments
  • Managing dependencies with Pip

Day 18: Web Scraping with Python

  • Introduction to web scraping
  • Beautiful Soup and Requests library
  • Ethical considerations in web scraping

Day 19: Asynchronous Programming with Python

  • Introduction to asynchronous programming
  • Using async and await keywords
  • Asyncio library in Python

Day 20: Introduction to Machine Learning with Python

  • Overview of machine learning
  • Introduction to scikit-learn library
  • Building a simple machine learning model

Day 21: Data Visualization with Matplotlib and Seaborn

  • Creating plots and charts with Matplotlib
  • Advanced visualization with Seaborn
  • Exploratory data analysis (EDA) techniques

Day 22: Web Development Best Practices

  • Code optimization and performance improvement
  • Security best practices in web development
  • Handling user authentication and authorization

Day 23: Deployment Options for Python Applications

  • Deploying Flask applications to Heroku
  • Deploying Django applications to platforms like AWS or Azure
  • Considerations for choosing a deployment strategy

Day 24: Introduction to Containerization with Docker

  • Understanding Docker containers
  • Building and running Docker images
  • Dockerizing a Python application

Day 25: Continuous Integration and Continuous Deployment (CI/CD)

  • Introduction to CI/CD pipelines
  • Setting up CI/CD for Python projects
  • Automating deployment with CI/CD

Day 26: Working on a Real-world Project

  • Collaborative coding on GitHub
  • Implementing features and fixing issues
  • Code review and collaboration best practices

Day 27: Final Project Presentation

  • Presenting individual or group projects
  • Receiving feedback and suggestions
  • Reflecting on the learning journey

Day 28: Career Development and Next Steps

  • Building a strong portfolio
  • Job search strategies for Python developers
  • Continuous learning and staying updated in the field

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