Get up to speed with the basics of data visualization using Python and Matplotlib. This course will explore how to create and customize charts and graphs to tell the story behind the data. It will also touch on how to add some interactive components.
Matplotlib is a Python package for creating visualizations in order to get the most value out of your data. In this course, Matplotlib for Data Visualization and Python: Getting Started, you’ll learn the foundations of Matplotlib to reveal the story behind the data. First, you’ll explore basic visualizations such as bar and pie charts. Next, you’ll discover how to customize these with color, text, and layouts. Finally, you’ll learn how to add some 'sizzle' with animations and interactivity and embed those visualizations in a number of different applications. When you’re finished with this course, you’ll have the skills and knowledge of Matplotlib needed to create data visualizations with Python.
Douglas Starnes is a polyglot ninja and tech community influencer in the Memphis area making stuff that works on more than just the web. He is a co-director of the Memphis Python User Group and a board member of the Memphis .NET User Group.
Course Overview (Music playing) Hi everyone, my name is Douglas Starnes and welcome to my course, Getting Started with Matplotlib. I am an independent tech author and speaker. Did you know that data is worthless? That's because most of the time data is just a big glob of numbers or it can be represented by the same. Even for people who are not math-phobic, working in a purely numerical medium can be a challenge. So, to get the most value from our data and tell the data's story, we can turn to a visual medium, the visualization. In this course, we are going to explore Matplotlib, a Python package for creating visualizations. Some of the major topics that we will cover include the types of visualizations that Matplotlib can create, how to customize these with colors, text, and layout, how to create interactive and animated visualizations, and ways to use Matplotlib visualizations in different types of applications. By the end of this course, you'll have the foundation needed to explore Matplotlib with the documentation. Your imagination truly is the limit, as Matplotlib is very capable. Before beginning the course, you should be familiar with Python 3. Some familiarity with the Numpy and Pandas packages would also be helpful. I hope you will join me on this journey to learn Matplotlib with the Getting Started with Matplotlib course at Pluralsight.