Data Visualization Recipes with Python and Matplotlib 3 [Video]

3 (1 reviews total)
By Harish Garg
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About this video

Creating custom visualizations with Matplotlib on real-world data can be tricky, sometimes with a lot of different features and complex code. As a data analyst or a data scientist, you don’t want to get bogged down. You really want to get those Data visualizations in front of the audience.

This course cuts down all the complexities and unnecessary details. It boils it down to the things you really need to get those visualizations going quickly and efficiently. The course gives you practical recipes to do what exactly needs to be done in the minimum amount of time. All the examples are based on real-world data with practical visualization solutions.

By the end of the course, you’ll be able to get the most out of data visualizations where Matplotlib 3 is concerned.

All the code files are present on GitHub :

Style and Approach

This course is practical and hands-on, sans all theoretical stuff. Once the setup is done, each video is a standalone practical recipe to help you visualize data using certain Matplotlib functionality. All examples use real-world datasets from lots of different domains.

Publication date:
February 2019
1 hour 27 minutes

About the Author

  • Harish Garg

    Harish Garg is a Principal Software Developer, author, and co-founder of a software development and training company, Bignumworks. Harish has more than 19 years of experience in a wide variety of technologies, including blockchain, data science and enterprise software. During this time, he has worked for companies such as McAfee, Intel, etc.

    Browse publications by this author

Latest Reviews

(1 reviews total)
Hopefully soon there will be similar but using interactive libraries like dash
Data Visualization Recipes with Python and Matplotlib 3 [Video]
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