Python data science
The four most-important Python libraries are
NumPy, Pandas, Matplotlib, and Scikit-learn
Learn Python data science libraries
A library that makes a variety of mathematical and statistical operations easier; it is also the basis for many features of the pandas library.
A Python library created specifically to facilitate working with data. This is the bread and butter of a lot of Python data science work.
A visualization library that makes it quick and easy to generate charts from your data.
The most popular library for machine learning work in Python.
NumPy and Pandas are great for exploring and playing with data. Matplotlib is a data visualization library that makes graphs as you’d find in Excel or Google Sheets.
Topics of PYTHON you must know for Data Science