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Python is the most popular programming language out there, and learning it will give you an advantage in your career. You can use it to build web applications, automate tasks, perform data analysis, and build machine learning models; in short, Python can do anything for you.
How is that possible? Because of open-source community support that has created and maintained Python packages for all kinds of tasks and for every field of study. You can even access popular packages from Java, C++, and other languages, as there are Python wrappers for all of them available.
Python is a necessary skill to gain, and it will help you transition into a more specialized field. However, it is still tricky for non-technical people or beginners. You have to learn syntax, functions, and libraries. Then, you have to learn to use all these skills to build projects, which will require you to take courses and learn from various resources.
In this blog, we will review the free Python courses, books, GitHub repositories, projects, cheat sheets, and online compilers that will help you get started and become an expert at the language quickly.
Python Course
I have been guiding students on where to start learning data science, and I always recommend starting with Python and SQL. Most of them are not sure about paying a huge amount, so I recommend they take a top free course and learn the basics, and if they want to get better at it, they can pay for the course.
The free course in this section covers the basics of Python language syntax and libraries. You will also learn to use Python for data analysis and build simple machine-learning models. All of the courses in this section are popular and have been highly rated by people who have taken them.
Python Books
Some people prefer books to courses because they want to take it slow and learn everything about the topic before trying anything. The books mentioned in the list below are popular and written by top personalities in the industry. They include examples, projects, and additional resources for becoming an experienced Python developer.
Python GitHub Repositories
I always recommend using GitHub as a learning platform. On GitHub, you can find various community-supported repositories essential for Python beginners. These repositories provide a “learning by doing” approach and consist of projects, exercises, and problems for you to solve to learn the language. They also come with a list of tools, frameworks, free resources, and everything you need to build things using the Python language.
Python Projects
After learning the basics and getting used to Python syntax, it is time to put your skills to the test by building projects. Working on Python projects will also help you build a strong portfolio that will eventually help you land a high-paying job. The list below contains projects for all levels, from beginners to experts.
Python CheatSheets
Cheat sheets are useful for both experts and students who want to review concepts before an interview or exam. They contain bite-sized information about Python syntax, libraries, and functions for easy revision. I use them to prepare for job interviews or when writing technical content.
Online Python Compiler
Only some have access to personal computers, and even though they have a laptop, they want to avoid installing Python and IDE or even running Python files. In this section, I have mentioned the top and free Python developer environments you can access through your browser, which are ready to be used in a few seconds. These platforms are popular and user-friendly, so instead of setting up your environment to test the code or even learn to code, I suggest students use an online Python interpreter.
Final Thoughts
If you are new to Python, I will say good luck. The language is easy to learn, and the resources I have provided in this blog will help you learn it fast. The only thing I need from you is your dedication. You need to put in the effort and time to learn and gain experience building the project.
This blog contains a list of free Python resources, such as courses, books, repositories, projects, chests, and online compilers. If you still need clarification about where to start, you can write me a proper message on LinkedIn, and I will try my best to help you.
Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master’s degree in technology management and a bachelor’s degree in telecommunication engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.
