professional-programming VS Basic-Algorithms

Compare professional-programming vs Basic-Algorithms and see what are their differences.

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professional-programming Basic-Algorithms
14 1
45,308 0
- -
7.9 0.0
4 days ago about 3 years 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.

professional-programming

Posts with mentions or reviews of professional-programming. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-19.

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.

What are some alternatives?

When comparing professional-programming and Basic-Algorithms you can also consider the following projects:

cs-video-courses - List of Computer Science courses with video lectures.

futurecoder - 100% free and interactive Python course for beginners

Pycco - Literate-style documentation generator.

AlgoWiki - Repository which contains links and resources on different topics of Computer Science.

pck3r - This program created for novice in linux and can handle almost things in ubuntu and all distributions based on debian(package manager : "apt")...

algorithms_illuminated - Python implementations and tests for the Algorithms Illuminated book series. Some test cases from the following repository: https://github.com/beaunus/stanford-algs

dexy

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.

every-programmer-should-know - A collection of (mostly) technical things every software developer should know about

Data-Structures-and-Algorithms-Python - All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.

rdm - Our regulatory documentation manager. Streamlines 62304, 14971, and 510(k) documentation for software projects.

coding-problems - Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures