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Instructor: Max Humber
Training duration: 2 hours
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Instructor
Distinguished Faculty Member | General Assembly
Max Humber
Max Humber is the creator of gazpacho, the author of Personal Finance with Python, and a Distinguished Faculty Member at General Assembly.
By the end of the course, participants will be able to:
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When and why to use motion inside of a visualization
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How to turn any Matplotlib into an animated plot in just two steps
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How to format and save plots as animated gifs
Course Abstract
A good visualization should capture the interest of the audience and make an impression. Few things capture interest more than bright colors and movement. Unfortunately, adding motion to a static plot generated with a tool like Matplotlib has traditionally been cumbersome and confusing. And so, few people ever get around to playing with motion in their visualizations… until now.
In this course, Max will help you turn any Matplotlib plot into an animated visualization with just a couple of extra lines of code. Whereas animation used to be something that required fancy tooling, Max will show you how to use simple Python decorators to stitch together multiple plots like frames in a movie. By the end of this session, you’ll be able to capture interest and make an impression with any presentation or spot of data analysis!
Course Schedule
Introduction ( 10 | 10 minutes )
Who am I, and who are you?
Discussion: Have you ever tried to animate a plot?
Basic Review of Matplotlib
Plot Prep ( 15 | 25 minutes )
Making sure that we have the right data
Tweaking figure and canvas sizes
Adjusting backgrounds
Turning Matplotlib plots into functions
Animation Basics ( 25 | 50 minutes )
Overview of the Matplotlib.animation module
Using FuncAnimation to animate plots
Using the gif.frame decorator to animate plots
Exercise: Turn a simple Matplotlib plot into an animated gif
Q&A and Break ( 10 | 60 minutes )
Animation Examples ( 25 | 85 minutes )
How to style animated gifs
How to using 3D inside of animated gifs
How to recreate popular /r/dataisbeautiful plots
Exercise: Recreate an animated gif with Matplotlib
Animated ML ( 25 | 110 minutes )
How to visualize machine learning hyperparameters
How to visualize model diagnostics
How to tell a convincing machine learning story
Exercise: Create an animated machine learning model diagnostic plot
Q&A and Conclusion ( 10 | 120 minutes )
Who will be interested in this course?
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Data Scientists / Data Engineers
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Those that work with data that has a temporal dimension
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Those that find Matplotlib endlessly frustrating and confusing
Which knowledge and skills you should have?
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Required: Experience with Python
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Required: Some experience with Matplotlib
Have questions?
What is included in your ticket?
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Access to the live training and a QA session with the Instructor
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Access to the on-demand recording
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Certificate of completion