Matplotlib is a data visualization plotting library where a developer can code visuals in Python and output them as part of Jupyter Notebooks, web applications and graphical user interface (GUI) toolkits.
Effectively using Matplotlib is an awesome getting started tutorial that breaks through the confusing beginner steps so you can quick start using the plotting library.
Web Scraping With Python: Scrapy, SQL, Matplotlib To Gain Web Data Insights is a long and comprehensive tutorial that walks through obtaining, cleaning and visualizing data.
Matplotlib Cheat Sheet: Plotting in Python contains some handy snippets of code to perform common plotting operations in Matplotlib.
5 Quick and Easy Data Visualizations in Python shows several code examples with explanations for performing exploratory data analysis using Matplotlib.
Introduction to Matplotlib — Data Visualization in Python explains how to install and start using Matplotlib. The post has a ton of detail on customizing your plots and graphs after creating the initial visuals.
Visualize World Trends using Seaborn in Python shows world life expectancy in plots generated by Matplotlib and Seaborn.
Pandas & Seaborn - A guide to handle & visualize data in Python builds a visualization by starting with pandas for data wrangling then outputs charts with Matplotlib and Seaborn.
Secure and manage identities in your Python web apps with Okta.
Easily build maps, search and navigation into your Python applications with Mapbox.
Scout monitors the performance of your Python apps, identifying slow queries, memory bloat, and more. Free during Tech Preview.