This is the code repository for Mastering Matplotlib 3 [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

You already know the basics of Data Visualization with Matplotlib but this is not enough. You want to be able to create advanced-level Data Visualizations that showcase insights from your datasets. This course will help you delve into the latest version of Matplotlib, 3, in a step-by-step and engaging manner. Through this course, you will master advanced Matplotlib concepts and will be able to tackle any Data Visualization project with ease and with increasing complexity. By the end of the course, you will have honed your expertise and mastered data visualization using the full potential of Matplotlib 3.

To fully benefit from the coverage included in this course, you will need:
Prior knowledge of Python programming language is necessary

This course has the following software requirements:
Recommended Hardware Requirements:

• OS: Windows 7 or higher \ Mac OS X \ Linux (any modern flavour)
• Processor: Intel \ AMD
• Memory: 4GB
• Storage: 50 GB Free Space on the Hard Disk

Recommended Software Requirements:

• Operating system: Windows 7 or higher \ Mac OS X \ Linux (any modern flavor)
• Browser: Chrome or Firefox
• Atom IDE, Latest Version
• Python 3.6 or higher with modules - Pandas, numpy, Matplotlib 3 installed.

• Data Visualization Recipes with Python and Matplotlib 3 [Video]

• D3.js Tips, Tricks, and Techniques [Video]

• Exploratory Data Analysis with Pandas and Python 3.x [Video]