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Reading and Writing Files With pandas (Overview)

Darren Jones
Reading and Writing Files With pandas Darren Jones 01:01
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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
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Sample Code (.zip)

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Course Slides (.pdf)

 11.6 MB

00:00 Pandas: How to Read and Write Files. 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 much more.

00:17 One crucial feature of pandas is its ability to write and read Excel, CSV, and many other file types. Functions like the pandas read_csv() method enable you to work with files effectively.

00:31 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.

00:41 In this course, you’ll learn how to read and write data to and from files, what the pandas IO Tools API is, how to work with various file formats, and how to work with big data efficiently.

00:57 Now you know what’s coming up. Let’s get started!

Alain Rouleau on Aug. 18, 2021

Lots of good info and examples, thanks!

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