Matplotlib 3 for Data Visualization and Python: Getting Started

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Douglas Starnes

2:18:09

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00. Course Overview

00. Course Overview.mp4

01:25

01. Visualization with Python and Data Science

00. Matplotlib - What, Why, When, and Where - .mp4

03:55

01. Demo - Installation and Setup.mp4

05:00

02. Getting Started with Matplotlib

00. Line Chart.mp4

03:11

01. Demo - Line Chart.mp4

05:38

02. Histogram.mp4

04:58

03. Demo - Histogram.mp4

04:54

04. Bar Chart.mp4

02:56

05. Demo - Bar Chart.mp4

05:11

06. Pie Chart.mp4

02:58

07. Demo - Pie Chart.mp4

06:33

08. Scatter Plot.mp4

03:43

09. Demo - Scatter Plot.mp4

04:28

03. Customizing Visualizations

00. Color.mp4

03:55

01. Demo - Color.mp4

04:53

02. Line Styles.mp4

04:11

03. Demo - Line Styles.mp4

03:48

04. Markers.mp4

03:24

05. Demo - Markers.mp4

04:22

06. Legends.mp4

04:33

07. Demo - Legends.mp4

03:59

04. Creating Advanced Visualization with Matplotlib

00. Subplots and Layout.mp4

05:25

01. Demo - Subplots and Layout.mp4

03:59

02. Advanced Text.mp4

04:49

03. Demo - Advanced Text.mp4

04:15

04. Pandas and Matplotlib.mp4

03:29

05. Seaborn.mp4

03:44

05. Interactive Content with Matplotlib

00. Interacting with Matplotlib Visualizations.mp4

06:43

01. Animating Matplotlib Visualizations.mp4

06:12

06. Embedding Matplotlib

00. Options for Embedding Visualizations.mp4

04:21

01. Plotly.mp4

02:36

02. Flask.mp4

02:38

03. PyQt.mp4

02:03

Description

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.

What You'll Learn?

Matplotlib is a Python package for creating visualizations in order to get the most value out of your data. In this course, Matplotlib 3 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.

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Python

Data Visualization

Douglas Starnes

Instructor's Courses

Douglas Starnes is a tech author, professional explainer and Microsoft Most Valuable Professional in developer technologies in Memphis, TN. He is published on Pluralsight, Real Python and SkillShare. Douglas is co-director of the Memphis Python User Group, Memphis .NET User Group, Memphis Xamarin User Group and Memphis Power Platform User Group. He is also on the organizing committees of Scenic City Summit in Chattanooga, and TDevConf, a virtual conference in the state of Tennessee. A frequent conference and user group speaker, Douglas has delivered more than 70 featured presentations and workshops at more than 35 events over the past 10 years. He holds a Bachelor of Music degree with an emphasis on Music Composition from the University of Memphis.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.