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Python Programming for Beginners
Rating: 4.2 out of 5(5 ratings)
229 students
Created byShekhar Nandanwar
Last updated 10/2025
English

What you'll learn

  • Master the Fundamental Syntax and Logic
  • Manage and Structure Data
  • Build Reusable and Object-Oriented Programs
  • Solve Real-World Problems with Libraries

Course content

8 sections • 21 lectures • 1h 24m total length

  • Basics of Python0:40

    Discover Python's simplicity and readability, avoiding complex syntax and memory management. Write clean, human-friendly code that reads like English, ideal for beginners, data science, and AI.

  • What is Python1:39
  • Installing Python and setting up IDE3:43

    Install Python from python.org, add Python to the path, verify with python --version, and install an IDE such as PyCharm, VSCode, or Jupyter Notebook using Windows setup.

  • Python basics
  • Writing Your First Program – Hello, World!3:26

    Create a PyCharm project, add hello.py, and run your first Python lines using print to show Hello World and Welcome to Python programming, with comments.

  • Basics
  • How Python Programs Run (Interpreter vs Compiler)1:16

Requirements

  • No coding experience needed

Description

Python Programming: From Fundamentals to Project Application and software engineering

This comprehensive course is designed for absolute beginners and those with minimal programming experience who want to master Python, the world's most popular language for data science, web development, and automation. We begin with establishing a strong foundation.

We start from PyCharm IDE and build your skills systematically. You will progress from writing basic "Hello World" scripts to confidently developing reusable, object-oriented programs that interact with real-world data. You will learn to write reusable, clean code by defining your own Functions and importing/creating Modules. Moving beyond the basics, you will learn to structure and scale your code professionally. Learn about Data structure: Strings, Lists, Tuples, Sets. Finally, you will learn how to interact with the external environment through File Handling (reading and writing data) and make your applications resilient by implementing Exception Handling to prevent crashes.

The final module shifts to real-world application, introducing powerful external libraries like NumPy, Pandas, and Matplotlib for data analysis and visualization. The course culminates in a project module where you will apply all learned concepts to build practical mini-projects. By the end of the course will be fluent in Python syntax and apply those.


Who this course is for:

  • Beginner interested in learning python

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