The Diploma in Python Programming is your gateway to mastering one of the most versatile and in-demand programming languages in the world. Python is renowned for its simplicity, readability, and a wide range of applications, making it an ideal choice for both beginners and experienced developers. This comprehensive diploma program is designed to provide you with a deep understanding of Python, from the fundamentals to advanced application development.

Pre-requisite:

  • Basic knowledge of computers.
  • Desire to develop web sites and web pages.

 

Month 1: Introduction to Python Programming

Week 1-2: Getting Started with Python

  • Introduction to Python and its applications
  • Setting up the Python development environment
  • Basics of Python syntax and data types

Week 3-4: Control Flow and Functions in Python

  • Conditional statements and loops
  • Writing functions in Python
  • Scope and lifetime of variables

Month 2: Data Structures and Advanced Python Concepts

Week 5-6: Lists, Tuples, and Dictionaries

  • Understanding and using Python lists
  • Working with tuples and dictionaries
  • List comprehensions

Week 7-8: Object-Oriented Programming (OOP) in Python

  • Introduction to OOP concepts (classes and objects)
  • Inheritance, polymorphism, and encapsulation
  • Hands-on projects with OOP

Month 3: Web Development, Data Science, and Final Project

Week 9-10: Web Development with Flask

  • Introduction to web development with Flask
  • Routing, templates, and forms in Flask
  • Building a simple web application

Week 11-12: Data Science with Python

  • Introduction to data science and data analysis
  • Using libraries such as NumPy and Pandas
  • Data visualization with Matplotlib and Seaborn

Final Project:

  • Apply Python programming skills in a real-world project
  • Choose a project in web development, data science, or automation
  • Presentation and code review

Additional Topics Throughout the Course:

  • File handling and input/output in Python
  • Error handling and debugging techniques
  • Introduction to popular Python libraries and frameworks (e.g., Django, TensorFlow)