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Data Visualization Recipes with Python and Matplotlib 3 [Video]

More Information
  • Draw various kinds of plots using Matplotlib
  • Visualize and gain insights into a real-world dataset via different chart types
  • Use practical recipes to draw subplots, histograms, heat maps, box plots, and pie charts
  • Customize plots and charts for data visualizations in an appealing way
  • Build plots from the ground-up with scaffolding
  • Manipulate plot, axes, and figures
  • Build Matplotlib 3D graphs functionality to visualize data with multiple variables and dimensions
  • Use wire framing techniques and plot complex data with Matplotlib 3
  • Make your data visualizations animated and interactive
  • Use Matplotlib 3’s animation and interactive capabilities to spice up your data visualizations
  • Use real-world dataset of stocks to learn the techniques
  • Troubleshoot both common and tricky data visualizations while creating plots with Matplotlib 3

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 : https://github.com/PacktPublishing/Data-Visualization-Recipes-with-Python-and-Matplotlib-3

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.

  • This course will help you visualize all kinds of datasets in Matplotlib 3 using practical recipes that you can take and apply to your own data
  • Each video is a standalone recipe that provides solutions for a data visualization problem
  • Enough Matplotlib 3 functionality is covered in this course for you to become an excellent data visualization expert
  • This course covers the latest version of Matplotlib 3
Course Length 1 hour 27 minutes
ISBN 9781789957792
Date Of Publication 28 Feb 2019


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.