(Mar 2023) 50 most popular Python libraries and frameworks used in data science.

The 50 Python links illustrates components within a technology stack alongside their complementary technologies. In other words, "How do the parts fit together?"

Only 5 my favorite libraries are not on the list: lifelines, dilib, swifter, TextBlob, and Sastrawi

Links: For Business Applications you can see the diagram at https://higherlogicdownload.s3.amazonaws.com/IMWUC/UploadedImages/0d63eecd-fa76-4440-b4c0-a34a9e757e49/landscape.png

Some popular libraries:

1. Data Science Process https://lnkd.in/fMHtxYP
2. Data Visualization in Business https://lnkd.in/fYUCzgC
3. Understand How to answer Why https://lnkd.in/f396Dqg
4. Know Machine Learning Key Terminology https://lnkd.in/fCihY9W
5. Understand Machine Learning Implementation https://lnkd.in/f5aUbBM
6. Machine Learning Applications on Marketing https://lnkd.in/fUDGAQW
7. Machine Learning Applications on Retail https://lnkd.in/fihPTJf

#python #datascience #dataanalysis #machinelearning #deeplearning