Top Python Libraries for Data Science

Introduction
Have you ever wondered how computers can help us understand huge amounts of data?
Python is a popular language, and it's used by data scientists to analyze data. There are many libraries (or tools) in Python that make this easy.

NumPy - Crunching Numbers
NumPy helps with math!
Imagine having a big list of numbers, and you need to add or multiply them quickly. NumPy makes this fast.
Think of a calculator that can solve problems with hundreds of numbers at once. That’s what NumPy does!

Matplotlib - Drawing Graphs
Matplotlib helps turn numbers into pictures.
 Data isn’t always easy to understand. But when you draw a graph, it's much clearer.
 If you ever saw a line graph of how your grades changed over the school year, that’s what Matplotlib helps create!

Conclusion
NumPy and Matplotlib are two amazing tools that help make data science easier.
Want to learn more? Try using Python and these libraries to play with your own data!

For reference:- Medium