Python Programming for Beginners: Learn Python in 100 Minute

Udemy
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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.

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
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