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