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Beginner

8h

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Learn Python

This hands-on Python course helps absolute beginners write their first lines of code, build interactive programs, and understand core programming concepts through playful examples and real-life logic.
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Overview
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This course uses an active learning approach to teach Python programming to beginners. You’ll interact with the code from the start, using everyday logic and fun challenges to build confidence. You will learn essential programming concepts like input/output, decision-making, error handling, and simple logic through interactive examples and mini-projects. Whether you’re new to coding or just starting with Python, this course provides the perfect foundation to develop your problem-solving skills and easily write your programs. More than anything else, this course aims to make you a lifelong learner and serve as a strong starting point for a successful career in computing. You don’t need any programming experience to begin.
This course uses an active learning approach to teach Python programming to beginners. You’ll interact with the code from the st...Show More

WHAT YOU'LL LEARN

An understanding of basic Python syntax
The ability to debug the Python code
Hands-on experiencing building mini projects and interactive programs
The ability to solve computational problems with a coding mindset
An understanding of basic Python syntax

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Content

1.

Talk to the Machine

5 Lessons

Explore programming through play, power, and purpose in this hands-on introduction.

2.

Make It Think

5 Lessons

Learn how to teach your computer to make choices and automate tasks.
Certificate of Completion
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Developed by MAANG Engineers
Every Educative resource is designed by our in-house team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who’ve shipped production code at scale and taught the theory behind it. The goal is to get you hands-on with the skills you need to stay ahead in today's constantly evolving tech landscape. No videos, no fluff — just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

Explain with AI

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AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

Free Resources

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Frequently Asked Questions

How to learn Python?

Here are the steps you need to follow to learn Python: Start with basics: variables, data types, and operators. Practice simple exercises on coding platforms. Learn control structures (if-else, loops). Study functions and modules. Work on small projects to apply concepts.

How long does it take to learn Python?

It typically takes 1–2 months to learn the basics with part-time study. To be comfortable for real-world tasks, expect 3–6 months, depending on prior experience.

How can I learn Python?

Here’s how you can start learning Python: Follow an online course or tutorial. Practice regularly on coding platforms. Read Python documentation for in-depth knowledge. Join Python communities or forums for support.

Is Python easy to learn?

Yes, Python has a simple and readable syntax, making it beginner-friendly. Its large community and resources also make learning easier.

Is 2 weeks enough to learn Python?

Yes, 2 weeks is enough time to learn the basics, covering syntax and simple programs. Advanced topics, however, will require more time.

Can I learn Python in 3 days?

In 3 days, you can cover very basic syntax and write simple scripts, but real-world tasks will require additional practice.

How to learn the programming language Python.

Here are the main steps to learn Python programming:

  • Start with syntax basics and simple code examples.
  • Use coding exercises to reinforce concepts.
  • Study libraries like NumPy and pandas if aiming for data-related tasks.
  • Build small applications to strengthen skills.