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This article details how to use a Python virtual environment to manage your Python projects.

This article is a beginner-to-intermediate-level walkthrough on Python and matplotlib that mixes theory with examples.

A picture says a thousand words, and with Python’s matplotlib library, it fortunately takes far less than a thousand words of code to create a production-quality graphic.

However, matplotlib is also a massive library, and getting a plot to look “just right” is often practiced on a trial-and-error basis. Using one-liners to generate basic plots in matplotlib is fairly simple, but skillfully commanding the remaining 98% of the library can be daunting.

This guide is a beginner-to-intermediate-level walkthrough on matplotlib that mixes theory with example. While learning by example can be tremendously insightful, it helps to have even a surface-level understanding of the library’s inner workings and layout as well.