PyPhysicsSandbox VS Basic-Algorithms

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

PyPhysicsSandbox

pyPhysicsSandbox is a simple wrapper around Pymunk that makes it easy to write code to explore 2D physics simulations. It's intended for use in introductory programming classrooms. (by jshaffstall)
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PyPhysicsSandbox Basic-Algorithms
1 1
43 0
- -
4.1 0.0
5 months 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.

PyPhysicsSandbox

Posts with mentions or reviews of PyPhysicsSandbox. We have used some of these posts to build our list of alternatives and similar projects.

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 PyPhysicsSandbox and Basic-Algorithms you can also consider the following projects:

Geometry app - A GUI application to solve geometry problems

futurecoder - 100% free and interactive Python course for beginners

fdtd - A 3D electromagnetic FDTD simulator written in Python with optional GPU support

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

awesome-python - 📚 Awesome Python Resources (mostly PyCon).

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

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.

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.

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

pcbasic - PC-BASIC - A free, cross-platform emulator for the GW-BASIC family of interpreters

tiny_basic - A Tiny Basic Interpreter.

callofcode - Coding exercises for beginners. Want to contribute, check out the issues.