# Introduction to Python
You can access the jupyter notebook with materials for this workshop with a UMN login at https://notebooks.latis.umn.edu/. Please contact latisresearch@umn.edu to access the Canvas site.
Python has seen wide adoption in academic research because it is a powerful but easy-to-learn programming language. It can be used in a manner similar to R or Stata for statistical processing, but also provides wider application in data processing, collection, and file management. Python is free and can be used in many phases of a project to enhance the reproducibility of research. This workshop will teach you how to get started using Python and some of its basic syntax, grammar, and structures. It will also introduce the popular package Pandas which provides a familiar dataframe structure to import, format, and clean data as well as functions to manipulate, filter, and analyze data.
Oct. 2022
