Python Unit Testing Fundamentals

How do you start adding unit tests to your Python code? Can the built-in unittest framework cover most or all of your needs? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.

We dig into a recent tutorial by Leodanis Pozo Ramos about writing unit tests using Python’s unittest. The tutorial covers organizing your tests, exploring assert methods, creating test fixtures, and debugging failing tests.

We explore a collection of Python data visualizations and tutorials from the Python Graph Gallery. The website features hundreds of charts and graphs built using popular plotting libraries. Each chart type features a foundational tutorial that introduces the structure and application.

We also share several other articles and projects from the Python community, including a news roundup, the new REPL coming in Python 3.13, a pytest daemon to 10X test iteration speed, a discussion about software friction, a Raspberry Pi document scanner, and a project for controlling time per iteration loop.

Topics:

• 00:00:00 - Introduction
• 00:02:08 - Python Software Foundation Board Election Dates for 2024
• 00:02:35 - 2023 PSF Annual Impact Report
• 00:03:03 - Python’s unittest: Writing Unit Tests for Your Code
• 00:09:41 - What’s New in Python 3.13
• 00:10:38 - The New REPL in Python 3.13
• 00:13:39 - Best Python Chart Examples
• 00:15:27 - Animation with text that highlights important events
• 00:16:39 - Sankey Diagram with Python and Plotly
• 00:18:55 - Video Course Spotlight
• 00:20:25 - Pytest Daemon: 10X Local Test Iteration Speed
• 00:23:58 - Software Friction
• 00:35:41 - A Raspberry Pi Document Scanner
• 00:39:00 - pacemaker: For Controlling Time Per Iteration Loop in Python
• 00:41:55 - Thanks and goodbye

News:

• Python Software Foundation Board Election Dates for 2024
• 2023 PSF Annual Impact Report

Show Links:

• Python’s unittest: Writing Unit Tests for Your Code – In this tutorial, you’ll learn how to use the unittest framework to create unit tests for your Python code. Along the way, you’ll also learn how to create test cases, fixtures, test suites, and more.
• What’s New in Python 3.13 – Python 3.13 has gone into beta, which means the feature freeze is now in place. This is the official listing of the new features in 3.13. This release includes changes to the REPL, new typing features, experimental support for disabling the GIL, dead battery removal, and more.
• The New REPL in Python 3.13 – Python 3.13 just hit feature freeze with the first beta release, and it includes a host of improvements to the REPL. Automatic indenting, block-level editing, and more make the built-in REPL more powerful and easier to use.
• Best Python Chart Examples
• Animation with text that highlights important events - Python Graph Gallery
• Sankey Diagram with Python and Plotly - Python Graph Gallery
• Pytest Daemon: 10X Local Test Iteration Speed – Discord has a large Python monolith with lots of imports, which now takes 13 seconds to start up. On the server that’s not a problem but to run a test it is. Ruby’s solution is to have a daemon that hot loads a test on a process that already has the imports completed.

Discussion:

• Software Friction – Friction is everywhere in software development. Two setbacks are more than twice as bad as one setback. This article discusses the sources of software friction and what you can do about it.

Projects:

• A Raspberry Pi Document Scanner
• pacemaker: For Controlling Time Per Iteration Loop in Python

Additional Links:

• unittest — Unit testing framework — Python 3.12.3 documentation
• Testing with Python (part 1): the basics - Bite code!
• Sankey Diagrams – A Sankey diagram says more than 1000 pie charts
• tidytuesday: Official repo for the #tidytuesday project
• tidytuesday - dataset_announcements
• Chaos Monkey
• OpenCV: OpenCV modules
• How to Train Your Robot

Level up your Python skills with our expert-led courses:

• Building a Python GUI Application With Tkinter
• Testing Your Code With pytest
• Creating PyQt Layouts for GUI Applications

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