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Python Programming

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Python Programming

Python Programming

  • Duration:2 Months
  • Level: Beginner to Intermediate
  • Mode: Offline/Online
  • Prerequisites: None
  • Tools Used: Python (Latest version), Jupyter Notebook / VS Code / PyCharm

Course Overview

This course is designed to introduce you to the fundamentals of Python programming, with a hands-on and project-based approach. By the end of the course, you will be able to write clean, functional, and efficient Python code for various applications including data analysis, automation, and problem-solving.

Course Modules

Month 1: Python Foundations – Core Concepts

Week 1: Introduction to Python

  • What is Python? History & Features
  • Setting up Python & IDEs (VS Code / Jupyter / PyCharm)
  • Python Syntax, Indentation & Comments
  • Variables, Data Types & input/output
  • Type Casting & Basic Operators

Week 2: Control Structures

  • Conditional Statements (if, elif, else)
  • Loops (for, while)
  • Loop Control Statements (break, continue, pass)
  • Logic-building with Real-life Examples
  • Practical Exercises & Practice Programs

Week 3: Data Structures in Python

  • Lists and List Methods
  • Tuples and Tuple Methods
  • Sets and Set Operations
  • Dictionaries and Dictionary Methods
  • Use-cases and practice problems

Week 4: Functions and Modules

  • Defining and Calling Functions
  • Function Arguments and Return Values
  • Lambda Functions
  • Modules and import statement
  • Built-in vs. User-defined Modules

Month 2: Advanced Python – Real-world Usage

W eek 5: File Handling & Exception Handling

  • Reading & Writing Files (.txt, .csv)
  • File Modes & File Object Methods
  • Working with Paths
  • Try, Except, Finally Block
  • Handling Multiple Exceptions
  • Custom Exceptions

Week 6: Object-Oriented Programming (OOP)

  • Classes and Objects
  • __init__() and Self
  • Class and Instance Variables
  • Inheritance and Polymorphism
  • Encapsulation and Abstraction
  • OOP Example Project

Week 7: Intermediate Python & Libraries

  • Comprehensions (List, Dict, Set)
  • Iterators and Generators
  • Decorators and Closures
  • Introduction to NumPy and Pandas
  • Basic data analysis with Pandas

Week 8: Final Project & Revision

  • Mini Project ( Automatoon/ Data Handling/ Data Analysis )
  • Real-world Problem Solving with Python
  • Complete Course revision
  • Practice Assignments
  • Doubt Clearing & Guidance