bigpython VS python-awesome

Compare bigpython vs python-awesome and see what are their differences.

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bigpython python-awesome
1 11
18 251
- -
0.0 0.0
over 2 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
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.

bigpython

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

python-awesome

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

What are some alternatives?

When comparing bigpython and python-awesome you can also consider the following projects:

PyCBC-Tutorials - Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.

start-machine-learning - A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

python-tutorial - A Python 3 programming tutorial for beginners.

tarsier - Vision utilities for web interaction agents 👀

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

100-plus-Python-programming-exercises-extended - The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.

awesome-python-for-data-science - A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data Science! 📊