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Learn Python Programming

Learn Python programming! Ideal for software testers, developers, data scientists & ML enthusiasts. Covers basics to advanced concepts. Boost your skills today!

4.7(176)
5,954students
35h 28m
Certificate
Pavan Kumar
Pavan KumarTech Educator | Trainer | YouTuber

Course Content

Learn Python Programming is an all-levels Udemy course taught by Pavan Kumar. It runs 35h 28m, is taught in English, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 176 reviews, with 5,954 students enrolled. It is a paid course, last updated July 2025.

Master Python Programming: From Beginner to Advanced

Unlock the power of Python with this comprehensive course designed to take you from a complete novice to a proficient Python developer. Python's popularity stems from its simplicity, versatility, and readability, making it an ideal language for a wide range of applications. Whether you're new to programming or looking to expand your skillset, this course provides a solid foundation and practical skills to excel in web development, software development, and scientific applications.

What You'll Learn:

This immersive course covers everything from the fundamentals to advanced concepts, equipping you with the skills to tackle real-world Python projects.

  • Python Syntax & Core Concepts: Gain a deep understanding of Python's syntax, data structures, and control flow.
  • Data Structures: Master essential data structures including lists, tuples, strings, dictionaries, and sets. Learn how to effectively create, manipulate, and utilize these structures for efficient data handling.
  • Control Flow: Develop proficiency in using conditional statements (if, else, elif), for and while loops, and loop control statements.
  • Functions & Object-Oriented Programming (OOP): Learn to write reusable code with functions and embrace the principles of OOP, including classes, objects, inheritance, and polymorphism.
  • Modules & Packages: Discover how to organize your code using modules and packages, and manage namespaces effectively.
  • Error Handling: Implement robust error handling techniques using try, except, else, and finally blocks.
  • Advanced Python: Explore advanced concepts like decorators and generators to write more sophisticated and efficient code.

Course Modules:

Module 1: Python Fundamentals

  • Getting Started: Download and install Python, configure your Python environment, and understand the Python Package Installer (pip).
  • PyCharm IDE: Learn to use the PyCharm IDE for writing, running, and debugging Python scripts.
  • Python Basics: Understand variables, data types (int, float, str, bool), and operators in Python.
  • Control Flow: Master if-else statements, for and while loops, and loop control statements.
  • Data Structures: Learn to create, access, and manipulate lists, tuples, strings, dictionaries, and sets.

Module 2: Python Object-Oriented Programming (OOP)

  • Classes & Objects: Define classes, create objects, and understand instance variables and methods.
  • Method Parameters: Learn about positional arguments, keyword arguments, and default parameter values.
  • Constructors & Overloading: Understand the __init__ method and how to create and overload constructors.
  • Inheritance: Explore different types of inheritance (single, multiple, multilevel, hierarchical) and method overriding.
  • Modules & Packages: Create and import modules and packages to organize your code.
  • Exception Handling: Implement robust error handling using try, except, else, and finally blocks.
  • Advanced Concepts: Dive into decorators and generators for writing more advanced Python code.

Module 3: Practical Python Programs

  • Basic Programs: Implement programs for swapping two numbers, checking if a number is prime, and calculating the factorial of a number.
  • Fibonacci Sequence: Generate the Fibonacci sequence.
  • Array Programs: Write programs to find the sum, maximum, and minimum elements in an array.
  • List Programs: Learn to find the length of a list, swap elements, remove elements, search for elements, clear lists, reverse lists, and clone lists. Also, learn to count occurrences of elements and find the smallest number in a list.

Take Away Skills:

Upon completion of this course, you will:

  • Confidently write and debug Python code.
  • Understand and apply fundamental programming concepts.
  • Effectively use Python's data structures and control flow mechanisms.
  • Design and implement object-oriented programs.
  • Solve practical programming problems using Python.

Join us and embark on a rewarding journey to become a skilled Python programmer!

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