Hint: You can adjust the default video playback speed in your account settings.
Hint: You can set the default subtitles language in your account settings.
Sorry! Looks like there’s an issue with video playback 🙁 This might be due to a temporary outage or because of a configuration issue with your browser. Please see our video player troubleshooting guide to resolve the issue.

Reading and Writing Files With Pandas (Overview)

Pandas is a powerful and flexible Python package that allows you to work with labeled and time series data. It also provides statistics methods, enables plotting, and more. One crucial feature of Pandas is its ability to write and read Excel, CSV, and many other types of files. Functions like the Pandas read_csv() method enable you to work with files effectively. You can use them to save the data and labels from Pandas objects to a file and load them later as Pandas Series or DataFrame instances.

In this course, you’ll learn:

  • What the Pandas IO tools API is
  • How to read and write data to and from files
  • How to use the methods of read_csv()
  • How to work with various file formats
  • How to work with big data efficiently

Download

Sample Code (.zip)

33.8 KB

Download

Course Slides (.pdf)

11.6 MB

Alain Rouleau on Aug. 18, 2021

Lots of good info and examples, thanks!

Become a Member to join the conversation.