The Pandas DataFrame: Working With Data Efficiently

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Cesar Aguilar

2:10:31

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Description

The Pandas DataFrame is a structure that contains two-dimensional data and its corresponding labels. DataFrames are widely used in data science, machine learning, scientific computing, and many other data-intensive fields.

DataFrames are similar to SQL tables or the spreadsheets that you work with in Excel or Calc. In many cases, DataFrames are faster, easier to use, and more powerful than tables or spreadsheets because they’re an integral part of the Python and NumPy ecosystems.

In this course, you’ll learn:

What You'll Learn?

What a Pandas DataFrame is and how to create one
How to access, modify, add, sort, filter, and delete data
How to handle missing values
How to work with time-series data
How to quickly visualize data

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Python

Pandas

Cesar Aguilar

Instructor's Courses

Cesar is an avid Pythonista and records video courses for Real Python. He enjoys teaching programming to anyone who listens and seeing in others their programming “eureka” moment. His first love is mathematics and teaches it to anyone who listens, and then tells them that they should also learn how to code (in Python of course!). Annoyed with the licensing circus of commercial software, Cesar started using Python in 2013 for his research in differential equations and graph theory. When not coding in Python, Cesar enjoys web development in PHP and JavaScript.