Basic-Algorithms
Basic algorithms and data structures written in different programming languages (by NikitaKolotushkin)
futurecoder
100% free and interactive Python course for beginners (by alexmojaki)
| Basic-Algorithms | futurecoder | |
|---|---|---|
| 1 | 106 | |
| 0 | 1,455 | |
| - | 1.6% | |
| 2.5 | 7.9 | |
| about 1 year ago | 10 days ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Basic-Algorithms
Posts with mentions or reviews of Basic-Algorithms. We have used some of these posts to build our list of alternatives and similar projects.
- Sunday Megathread Whats Everyone Working On This
I've just started making this repository, so there's not a lot of information, but I'm actively working on it. https://github.com/NikitaKolotushkin/Basic-Algorithms
futurecoder
Posts with mentions or reviews of futurecoder. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-28.
- Free Python Learning Platforms
- Learn Python From Scratch - with futurecoder
I have recently found a neat new (to me) resource for learning Python. It's called futurecoder and you can find it at https://futurecoder.io.
- LPT Request: I routinely have 2-4 hours of downtime at my in-office 9-5 job. What extracurriculars can I do for additional income while I'm there?
If you’re interested in learning Python, i’ve been messing around with this site today and it’s been pretty cool! link
- I need a python learning roadmap
here's how I started my journey (SWE at aerospace now)
- Learn programming for absolute beginners
1.https://futurecoder.io/
- Where do I begin with Python?
futurecoder — interactive, includes integrated debuggers, enhanced tracebacks, hints for exercises and more
- I want to learn Python but have no idea where to start.
I really enjoyed https://futurecoder.io when starting. It makes diving deeper into udemy courses very easy, and helps to actually read and understand code.
- What is the fastest way to learn Python?
As for courses, there are many great, free Python courses on YouTube, but I recommend this Harvard CS50 Intro to Programming with Python course. Or, if you are looking for something a bit more interactive, check out futurecoder.io. I just discovered it recently, and it is great (completely free, as well).
- What is the best place to learn Python?
https://cs50.harvard.edu/python/2022/ https://futurecoder.io/ https://roadmap.sh/python https://www3.ntu.edu.sg/home/ehchua/programming/webprogramming/Python1\_Basics.html#zz-1.
- Best free sites to learn Python Courses
What are some alternatives?
When comparing Basic-Algorithms and futurecoder you can also consider the following projects:
oppia - A free, online learning platform to make quality education accessible for all.
py4e - Web site for www.py4e.com and source to the Python 3.0 textbook
coding-problems - Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures
learn oops in python - 📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Learning-Python - This repo is made for the Learning Python blog course. In this course, all relevant material is provided for the course. For any suggestions, feedback or doubts, feel free to contact me via LinkedIn or Gmail.
materials - Bonus materials, exercises, and example projects for our Python tutorials