reference.md

Reference

Brief

In this lesson, we will introduce the Pandas library, the library for data analysis in Python. It is considered the de facto standard for data analysis in Python. It is built on top of Numpy and is designed to work with Numpy arrays.

Foundation

• What is Pandas (skip the GPU-Accelerated DataFrames section)

• Beginner's Guide to Descriptive Statistics

• Official Pandas Documentation

  • https://pandas.pydata.org/docs/user_guide/index.html#user-guide

• Pandas Cheatsheet 1

  • https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf

• Pandas Cheatsheet 2

  • https://www.datacamp.com/cheat-sheet/pandas-cheat-sheet-for-data-science-in-python