10 Python Packages You Should Know (in 2024)

Subscribe to RichardOnData here: https://www.youtube.com/channel/UCKPyg5gsnt6h0aA8EBw3i6A?sub_confirmation=1 In this video I'm going to provide a recommended 10 packages that you should know and focus on to get strong at Python programming, in the context of data science. Recommended book "Python for Data Analysis": https://amzn.to/3cDXKcE 1. pandas https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf 2. numpy https://images.datacamp.com/image/upload/v1676302459/Marketing/Blog/Numpy_Cheat_Sheet.pdf 3. matplotlib https://matplotlib.org/cheatsheets/_images/cheatsheets-1.png 4. seaborn https://images.datacamp.com/image/upload/v1676302629/Marketing/Blog/Seaborn_Cheat_Sheet.pdf 5. datetime https://www.pythoncheatsheet.org/modules/datetime-module 6. statsmodels https://www.statsmodels.org/dev/examples/index.html 7. scikit-learn https://images.datacamp.com/image/upload/v1676302389/Marketing/Blog/Scikit-Learn_Cheat_Sheet.pdf 8. streamlit https://docs.streamlit.io/library/cheatsheet 9. tensorflow https://zerotomastery.io/cheatsheets/tensorflow-cheat-sheet/ 10. keras https://images.datacamp.com/image/upload/v1660903348/Keras_Cheat_Sheet_gssmi8.pdf