10 Ways to Learn Python for FREE
Tags: python, programming, programmers, webdev
Published: 2023-11-23 05:19:40

If you're anything like me, you've probably caught wind of the Python programming language's rising popularity and are itching to jump on the bandwagon. The good news? You don't need a hefty wallet to get started on your Python journey. In this comprehensive guide, I'll spill the beans on various free resources that helped me grasp Python's intricacies. Let's get started-

## 1. Introduction

So, you've heard the buzz about Python, and you're ready to dive into the world of coding. Why Python? Well, it's versatile, readable, and has a massive, welcoming community. Plus, the best part? You don't need to break the bank to learn it. I'm here to guide you through an array of free resources that transformed my Python-learning experience.

## 2. Setting the Stage

Before we embark on this Pythonic adventure, let's ensure our stage is set. First things first, make sure you have Python installed on your machine. Don't worry; it's a piece of cake. Follow the instructions on the **[official Python website](https://www.python.org/downloads/)** to get it up and running.

## 3. Interactive Learning Platforms

### Codecademy

If you're like me, you learn best by doing. That's where **[Codecademy](https://www.pntrs.com/t/TUJGR0lLR0JHR0tIR0VCR0ZISk1N?website=333019&url=https%3A%2F%2Fwww.codecademy.com%2Flearn)** comes in handy. It offers interactive Python exercises, providing real-time feedback as you code. Dive in and start writing Python code from day one.

### Kaggle

**[Kaggle](https://www.kaggle.com/learn/python)** is not just for data scientists. It's a goldmine for Python learners too. With datasets to play around with and a supportive community, Kaggle provides a practical, hands-on learning experience.

### DataCamp

For those intrigued by the data science side of Python, **[DataCamp](https://datacamp.pxf.io/DVkv7o)** is your go-to platform. It offers interactive courses tailored for Python enthusiasts diving into the world of data.

## 4. Online Python Courses

### Coursera

**[Coursera](https://coursera.pxf.io/KeYYXx)** hosts Python courses backed by universities worldwide. From beginner to advanced levels, these courses often include assignments and quizzes, keeping you on your toes as you learn.

### edX

Similar to Coursera, **[edX](https://tidd.ly/3uGpswQ)** provides high-quality Python courses from top universities. If you're looking for a structured learning path with the option to receive verified certificates, this is the place to be.

### MIT OpenCourseWare

For those craving a taste of MIT's educational prowess, the **[Introduction to Computer Science using Python](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/)** on MIT OpenCourseWare is a gem. Video lectures and assignments bring the classroom experience to your screen.

## 5. YouTube Tutorials

### Corey Schafer's Python Tutorials

Corey's tutorials are a godsend for visual learners. With clear explanations and real-world examples, his videos are a great supplement to your learning journey. Check out his **[Python Tutorials](https://www.youtube.com/playlist?list=PL-osiE80TeTs4UjLw5MM6OjgkjFeUxCYH)**.

### sentdex

If your interests lie in finance or machine learning, **[sentdex](https://www.youtube.com/user/sentdex)** has you covered. His engaging tutorials make complex Python concepts feel like a breeze.

### CS Dojo

For bite-sized Python tips and a beginner-friendly approach, **[CS Dojo](https://www.youtube.com/playlist?list=PLBZBJbE_rGRWeh5mIBhD-hhDwSEDxogDg)** is the place to be. Short and sweet videos that add up to a solid Python foundation.

## 6. Documentation Deep Dive

### Official Python Documentation

Don't shy away from the **[official documentation](https://docs.python.org/3/)**. It's a goldmine of information, offering a comprehensive guide to Python and its vast array of modules.

### NumPy Documentation

As you delve deeper into Python, you'll encounter NumPy, a powerful library for numerical operations. The **[NumPy documentation](https://numpy.org/doc/stable/)** is your guide to mastering this essential tool.

## 7. Interactive Books and eBooks

### "Python for Everybody" by Charles Severance

Charles Severance's book is a friendly companion for beginners. With a focus on practical applications, it makes learning Python an enjoyable experience. Access the book **[here](https://www.py4e.com/book)**.

### "Automate the Boring Stuff with Python" by Al Sweigart

Al Sweigart's book is a favorite among many. Learn Python through automation and get the online version for free to kickstart your programming adventure. Explore the book **[here](https://automatetheboringstuff.com/)**.

## 8. Coding Challenges and Practice

### HackerRank

Challenge yourself with **[HackerRank's Python exercises](https://www.hackerrank.com/domains/tutorials/10-days-of-python)**. With challenges for all skill levels, it's a fantastic platform to enhance your problem-solving skills.

### LeetCode

If you're gearing up for coding interviews, **[LeetCode](https://leetcode.com/problemset/all/)** is your training ground. Practice Python problems and discuss solutions with a thriving community.

## 9. Joining Python Communities

### Stack Overflow

The go-to platform for coding queries. Ask questions, answer others, and absorb the wisdom of experienced developers. **[Stack Overflow](https://stackoverflow.com/)** is your programming companion.

### Reddit (r/learnpython)

Join the **[Reddit community](https://www.reddit.com/r/learnpython/)** dedicated to Python learners. Share your progress, seek advice, and immerse yourself in the collective knowledge of Python enthusiasts.

## 10. Contributing to Open Source

### GitHub

Explore Python projects on **[GitHub](https://github.com/)**. Contribute, learn from others, and be part of the open-source community. GitHub is a playground for collaboration and hands-on experience.

### First Contributions

If you're new to the world of open source, **[First Contributions](https://github.com/firstcontributions/first-contributions)** provides a step-by-step guide for first-time contributors. Gain practical experience while making a positive impact on projects.

## 11. Conclusion

As we wrap up this guide, take a moment to reflect on your Python learning journey. The resources mentioned here are just the beginning. With Python, the possibilities are endless. 

Whether you're diving into data science, web development, or machine learning, the skills you've acquired will serve as a solid foundation. 

Happy coding!