For all the self-taught geeks out there, here is our content library with most of the learning materials we have produced throughout the years.
It makes sense to start learning by reading and watching videos about fundamentals and how things work.
Data Science and Machine Learning - 16 wks
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Curated list of small interactive and incremental exercises you can take to get better at any coding skill.
Curated section of projects to build while learning with simple instructions, videos, solutions, and more.
Guides on different topics related to the technologies that we teach in our courses
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Lists and Loops is one of the most challenging topics to grasp when learning how to code, you will learn:
All the possible ways to loop in python,
Looping lists, tuples, dictionaries and other data-structures.
The entire tutorial is 👆 interactive, ✅ auto-graded and with. 📹 video tutorials.
These exercises were built in collaboration, we need you! If you find any bugs or misspells plese contribute and report them.
Each exercise is a small python project containing the following files:
Thanks goes to these wonderful people (emoji key):
Alejandro Sanchez (alesanchezr), contribution: (coder) 💻 (idea) 🤔, (build-tests) ⚠️ , (pull-request-review) 👀 (build-tutorial) ✅ (documentation) 📖
Paolo (plucodev), contribution: (bug reports) 🐛, contribution: (coder), (translation) 🌎
This project follows theall-contributors specification.Contributions of any kind are welcome!
This and many other exercises are built by students as part of the 4Geeks Academy Coding Bootcamp by Alejandro Sánchez and many other contributors. Find out more about our Full Stack Developer Course, and Data Science Bootcamp.