Data-Science-Resources VS awesome-python-for-data-science

Compare Data-Science-Resources vs awesome-python-for-data-science and see what are their differences.

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Data-Science-Resources awesome-python-for-data-science
2 7
62 67
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1.1 7.3
3 months ago 5 months ago
Jupyter Notebook
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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.

Data-Science-Resources

Posts with mentions or reviews of Data-Science-Resources. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-16.
  • I have a 43% in my Python class. Can someone lead me to resources to do better?
    2 projects | /r/learnpython | 16 Feb 2023
    I used to teach data science at General Assembly and the first week was Python. I curated a bunch of tutorials that I noticed I kept sending my students. I tried to organize and divide it into topics as much as possible (for example, tutorials specific to control flow, and then specific to "for" loops, etc.). Check it out - https://github.com/AdiBro/Data-Science-Resources/blob/master/Programming-Languages/Python.md
  • Where to practice python ?
    1 project | /r/learnpython | 8 Mar 2021
    I have a repository of curated data science and machine learning resources, I also have a page for Python, including different websites you can use to practice Python. Check it out - https://github.com/AdiBro/Data-Science-Resources/blob/master/Programming-Languages/Python.md#websites-to-practice-pythoncoding

awesome-python-for-data-science

Posts with mentions or reviews of awesome-python-for-data-science. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-12.

What are some alternatives?

When comparing Data-Science-Resources and awesome-python-for-data-science you can also consider the following projects:

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

ydata-synthetic - Synthetic data generators for tabular and time-series data

Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

rgb-to-hex - Python script to convert an RGB text sequence into HEX Code

ultimate-python - Ultimate Python study guide for newcomers and professionals alike. :snake: :snake: :snake:

ml-earth-observation-101 - An introduction to applying machine learning to satellite imagery (remote sensing).

mud-pi - A simple MUD server in Python, for teaching purposes, which could be run on a Raspberry Pi

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

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.

nist-crc-2023 - NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week!

programming-for-kids - book for parents and kids.

python-awesome - Learn Python, Easy to learn, Awesome