Introduction
In today's post, we will discuss a collection of GitHub repositories filled with resources, projects, and books that can greatly help us learn a new technology or deepen our knowledge in one.
These resources are called "Awesome," and they are repositories created by users that list valuable content for research, projects, tools, books, tutorials, or guides.
Most of them are links to other repositories, portfolios, videos, or books.
Many of the "awesome" lists are grouped in this repository where you can search and filter what you need.
Go to the GitHub page: Awesome list
How to Search for Content within the Awesome Project?
This project by user sindresorhus has over 143k stars and almost 19k forks.
For example, let's say we want to learn Machine Learning in Python. First, we search for Python and see a set of subgroups:
We head to Data Science:
This will redirect us to a new Awesome project, this time specifically curated for Data Science in Python.
As you can see, the content is vast, and you can select the libraries and categories that interest you the most:
I hope you found this useful and that you continue learning with all this content. Don't forget to share the article on social media so more people can benefit from this content.
See you in the next post!
