Learn Python Programming Last updated 7/2025 Created by Pavan Kumar MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 54 Lectures ( 35h 28m ) | Size: 27.1 GB
Python Programming (Basic To Advanced) for Software Testers/Developers/Data Science/Machine Learning
What you'll learn ⚡ You will learn how to write a complete Python program that takes user input, processes and outputs the results ⚡ You will learn OOPS concepts in Python ⚡ You will able to use python for Selenium in testing, Machine learning, AI and many more fields.
Requirements ❗ No prior knowledge of Python, everything will be covered in this course ❗ Understanding of Computers
Description
Course Title: Python Programming (Basic To Advanced)Course Description: Python has become a cornerstone in the programming world, renowned for its simplicity, versatility, and readability. "Introduction to Python Programming" is designed to be an immersive learning experience, providing a solid foundation in both fundamental programming concepts and the Python language. Whether you are a beginner eager to enter the world of programming or an experienced developer looking to add Python to your skill set, this course will equip you with the knowledge and skills needed to excel in various domains, including web development, software development, and scientific applications.
Take-Away Skills: Upon completion of this course, participants will gain confidence in programming with Python. The key take-away skills include a comprehensive understanding of Python syntax, data structures, control statements, functions, object-oriented programming, and practical problem-solving using Python.
Topics Covered
Module 1: Python Programming
1. Getting Started with Python ✨ Overview of Python Programming Language
✨ Downloading and Installing Python
✨ Setting Up Python Environment
✨ Configuring Python Path in Environment Variables
✨ Verifying Python Installation
✨ Introduction to pip – Python Package Installer
2. Working with PyCharm IDE ✨ Installing PyCharm
✨ Setting Up a New Python Project
✨ Navigating the PyCharm Interface
✨ Writing and Running Python Scripts
✨ First Python Script
✨ Understanding Python File Structure
✨ Running Scripts in PyCharm and via Command Line
✨ Console Output and print() Function
✨ String Formatting Techniques
3. Python Basics ✨ Variables and Data Types
✨ Declaring and Initializing Variables
✨ Data Types: int, float, str, bool
✨ Type Casting
✨ Operators in Python
✨ Arithmetic, Comparison, Logical, and Assignment Operators
4. Control Flow Statements ✨ Conditional Statements
✨ if, if-else, elif, and Nested if
✨ Looping Constructs
✨ for and while Loops
✨ Nested Loops
✨ Loop Control: break, continue, pass
5. Python Data Structures ✨Lists
✨ Creating, Accessing, and Modifying Lists
✨ Common List Methods
✨Tuples
✨ Characteristics and Operations
✨Strings
✨ Declaration, Methods, Operations, and Formatting
✨Dictionaries
✨ Creating, Accessing, and Dictionary Methods
✨Sets
✨ Creating, Accessing, Set Operations and Methods
Module 2: Python Object-Oriented Programming
1. Classes and Objects ✨ Defining Classes and Creating Objects
✨ Instance Variables and Methods
✨ Writing Functions Inside and Outside Classes
2. Method Parameters ✨ Positional Arguments
✨ Keyword Arguments
✨ Default Parameter Values
3. Constructors and Overloading ✨ Understanding the __init__ Method
✨ Constructor Creation and Default Arguments
✨ Method Overloading using Default Parameters
✨ Simulating Constructor Overloading
4. Static Members ✨ Static Variables
✨ Static Methods using @staticmethod
5. Inheritance in Python ✨ Types of Inheritance
✨ Single, Multiple, Multilevel, and Hierarchical
✨ Method Overriding
✨ Using super() to Call Parent Class Methods
6. Python Modules and Packages ✨ Creating and Importing Modules