Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Python Programming for Beginners: Learn Python in 100 Minute
New
28 students

Python Programming for Beginners: Learn Python in 100 Minute

Master Python fundamentals from scratch using Jupyter . build your first project to prepare for Data Science, ML and DL
Created byShayan Janati
Last updated 6/2026
English

What you'll learn

  • Understand Python syntax and write basic programs
  • Use Jupyter Notebook efficiently
  • Create and modify variables
  • Work with integers, floats, strings, and Boolean values
  • Accept user input and process data
  • Use arithmetic, comparison, and logical operators
  • Prepare for more advanced topics such as Data Science, Machine Learning, and Deep Learning

Course content

1 section10 lectures1h 38m total length
  • Introduction7:00
  • lecture 214:23
  • lecture 38:30
  • lecture 48:41
  • lecture 59:34
  • lecture 610:01
  • lecture 710:00
  • lecture 810:00
  • lecture 97:28
  • lecture 1013:06

Requirements

  • No prior programming experience required

Description

Python Programming for Beginners: Learn Python in 100 Minutes with Jupyter Notebook

Want to learn Python but don't know where to start?

This course was designed specifically for complete beginners who want a fast, practical, and beginner-friendly introduction to Python programming.

Unlike many Python courses that require installing multiple tools and writing code in traditional IDEs, this course uses Jupyter Notebook exclusively. Lessons are presented using Markdown cells that act as interactive slides, making learning easier, cleaner, and more engaging.

In less than two hours, you'll learn the essential Python concepts used by developers, data scientists, and machine learning engineers.

We start from the very beginning, assuming no prior programming experience.

Throughout the course, you'll learn how to:

• Work with variables and data types

• Receive input from users

• Perform mathematical operations

• Manipulate strings

• Use lists, tuples, dictionaries, and sets

• Write conditional statements and loops

• Create reusable functions

• Read from and write to files

• Handle errors gracefully

• Build a simple Personal Expense Tracker project

Every lecture includes explanations, examples, exercises, and solutions inside Jupyter Notebook.

By the end of this course, you'll have a solid understanding of Python fundamentals and be ready to continue your journey into Data Science, Machine Learning, and Deep Learning.

Whether your goal is becoming a Python developer, analyzing data, training AI models, or simply learning a valuable new skill, this course provides a strong foundation to help you move forward.

Who this course is for:

  • Complete beginners with no programming experience
  • Students interested in Data Science and Artificial Intelligence
  • Future Machine Learning Engineers
  • Learners who prefer interactive Jupyter Notebooks over traditional IDEs