Python Development 28-Day Course

Last Updated : 23-11-2023
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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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