Introduction to Data Science with Pandas

Source: GitHub - stefmolin/pandas-workshop: An introductory workshop on pandas with notebooks and exercises for following along, Slides

Introduction

• See resources for code and slides, follow slides through Jupyter notebooks to see and run code
• Prerequisite knowledge: Python, Jupyter notebooks

Getting Started

• Introducing Series, DataFrame, and Index classes - basics of the pandas library to create DataFrames, do operations on them and inspect/filter data.

DataFrame

• Composed of one or more Series and an Index

• Series = column names

• Index = row labels

• DataFrames can be created from sources like:

  • Python objects
  • Files
  • Webscraping
  • APIs
  • Other examples at IO tools (text, CSV, HDF5 pandas 2.0.3 documentation

Inspect Data

• Check rows/columns, volume of data

Continue Workshop in Git Repo

See fork of https://github.com/stefmolin/pandas-workshop