1. Introduction to Python Programming
Link: Introduction to Python Programming
If you’re just starting out with programming, this free introductory Python course on **Codecademy** is perfect for you. With no prior knowledge required, it covers the basics of Python, from data types to loops, and is an excellent foundation for your programming journey.
This course helps you get comfortable with Python syntax, how to write your first scripts, and gradually advances to more complex topics like functions, loops, and conditional statements. Perfect for beginners looking to build a solid base in programming.
2. **Python for Data Science and Machine Learning**
**Link:** Python for Data Science and Machine Learning
This free course by **Coursera**, offered by **IBM**, dives deep into Python’s use in Data Science and Machine Learning. It’s designed for anyone looking to apply Python to real-world data analysis problems.
The course covers data manipulation, analysis with libraries like **Pandas** and **NumPy**, and how to visualize data effectively. By the end of the course, you’ll understand the foundations of Machine Learning and be able to build simple models.
3. **Python Crash Course**
**Link:** Python Crash Course
A beginner-friendly book by **Eric Matthes** designed for people with no prior programming experience. The book is structured to help you learn Python fundamentals quickly while introducing useful projects.
You’ll work on real-world examples like building web applications with **Flask**, simple games with **Pygame**, and other practical coding projects to solidify your knowledge. This book is ideal for anyone wanting to grasp Python through hands-on learning.
4. **Learn Python Programming (FreeCodeCamp)**
**Link:** Learn Python Programming
A comprehensive, free Python course available on **freeCodeCamp.org**, covering Python basics to advanced topics. This 4-hour course walks you through each concept in Python while helping you understand how to use Python for practical applications.
It’s designed for all levels of learners, providing real examples and code challenges to reinforce concepts. The course covers everything from data types, conditionals, loops, and functions to more advanced topics like classes and modules.
5. **Intermediate Python for Data Science**
**Link:** Intermediate Python for Data Science
This **DataCamp** course is aimed at learners who already know the basics of Python and want to deepen their knowledge, specifically focusing on Python’s role in data science.
The course dives into libraries like **Pandas**, **Matplotlib**, and **Scikit-Learn**, teaching you how to manipulate data, visualize it, and perform statistical analysis. If you’re looking to apply Python in data science, this is an excellent follow-up to beginner courses.
6. **Automate the Boring Stuff with Python**
**Link:** Automate the Boring Stuff with Python
This popular free course by **Al Sweigart** is perfect for Python programmers who want to learn how to automate everyday tasks like organizing files, scraping websites, or working with spreadsheets.
The course focuses on practical applications and helps you write Python scripts to make your life easier, especially for those working with repetitive tasks or looking to create useful scripts for automation.
7. **Python for Web Development with Flask**
**Link:** Python for Web Development with Flask
This free course offered by **Udemy** teaches you how to build web applications using **Flask**, a lightweight Python web framework.
You’ll learn how to create web pages, handle user input, and connect to databases. By the end of the course, you’ll have a solid understanding of full-stack development using Python and Flask.
8. **Python for Beginners**
**Link:**[ Python for Beginners ](https://sites.google.com/view/learn01/%D8%A7%D9%84%D8%B5%D9%81%D8%AD%D8%A9-%D8%A7%D9%84%D8%B1%D8%A6%D9%8A%D8%B3%D9%8A%D8%A9)
This **YouTube** series by **Programming with Mosh** is perfect for anyone looking for a clear and concise explanation of Python fundamentals.
It covers everything from basic syntax to more advanced concepts in a structured manner, with hands-on examples and exercises along the way. If you prefer learning through video, this series is a great resource.
By taking these free courses, you’ll not only get a comprehensive understanding of Python but also become proficient in its application across various domains, from web development to data science!
“link”: Python
