Reading and Writing Files With Pandas

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Darren Jones

49:27

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457 - PRW - 0 - Intro.mp4

01:00

457 - PRW - 1-1 - Installing Pandas and Preparing Data.mp4

04:00

457 - PRW - 1-2 - Reading and Writing CSV Files.mp4

02:21

457 - PRW - 1-3 - Reading and Writing Excel Files.mp4

02:59

457 - PRW - 2 - Working With Different File Types Intro.mp4

00:32

457 - PRW - 2-1 - Understanding the Pandas IO API.mp4

02:09

457 - PRW - 2-2 - Different Files - CSV(1).mp4

06:42

457 - PRW - 2-3 - Different Files - JSON.mp4

05:35

457 - PRW - 2-4 - Different Files - HTML.mp4

02:39

457 - PRW - 2-5 - Different Files - Excel.mp4

02:31

457 - PRW - 2-6 - Different Files - SQL.mp4

04:37

457 - PRW - 2-7 - Different Files - Pickle.mp4

01:41

457 - PRW - 3 - Big Data - Intro.mp4

00:33

457 - PRW - 3-1 - Big Data - Compress.mp4

01:59

457 - PRW - 3-2 - Big Data - Choose Columns.mp4

01:47

457 - PRW - 3-3 - Big Data - Omit Row.mp4

01:53

457 - PRW - 3-4 - Big Data - Force Less Precise.mp4

03:13

457 - PRW - 3-5 - Use Chunks.mp4

02:01

457 - PRW - 4 - Summary.mp4

01:15

RP - PRW Files.zip

RP - Pandas Reading and Writing Files.pdf

Description

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 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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Python

Pandas

Darren Jones

Instructor's Courses

Darren is an avid Pythonista and creates video tutorials for Real Python. Having followed a varied career as a nuclear industry instrumentation engineer, a musician, recording engineer and teacher, he’s always been interested in computers, spending the last 20 years producing music with them and teaching music technology. He’s written books on the subject, and spends the remainder of his time improving his Python skills, with a view to bringing them into the studio and classroom for better understanding of both music and programming.