Python Programming

Master Python from basics to advanced topics with hands-on projects.

Module 1: Introduction to Python and Setup

  • Introduction to Python: Relevance and Applications
  • Setting up Python Environment
  • Writing and Executing Python Scripts
  • Python Syntax, Comments, and Indentation

Module 2: Python Basics

  • Variables and Data Types
  • Input and Output Operations
  • Operators: Arithmetic, Assignment, Comparison, Logical, Bitwise
  • Basic Control Flow Statements

Module 3: Data Structures

  • Lists: Creation, Indexing, Slicing, and Modifying
  • Tuples: Properties and Use Cases
  • Sets: Union, Intersection, and Difference
  • Dictionaries: Key-Value Pairs and Operations

Module 4: Functions and Modules

  • Defining and Calling Functions
  • Parameters, Return Values, and Arguments
  • Lambda Functions and Scope
  • Python Modules and Packages
  • Creating Custom Modules

Module 5: File Handling

  • File Operations: Reading, Writing, and Appending
  • File Modes
  • Exception Handling

Module 6: Object-Oriented Programming (OOP)

  • Classes and Objects
  • __init__ Constructor
  • Inheritance and Polymorphism
  • Encapsulation and Abstraction

Module 7: Python Libraries and Advanced Topics

  • Libraries: numpy, pandas, matplotlib
  • Regular Expressions
  • Iterators and Generators
  • Decorators

Module 8: Working with APIs and Web Scraping

  • APIs: REST APIs and HTTP Requests
  • Web Scraping: BeautifulSoup and selenium

Module 9: Introduction to Data Science with Python

  • Data Analysis with pandas
  • Data Visualization with matplotlib and seaborn
  • Basic Machine Learning with scikit-learn

Module 10: Capstone Project and Revision

  • Capstone Project
  • Debugging and Error Handling
  • Revision and Final Assessment

Enroll Now