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What goes into creating automated tests for your Python code? Should you focus on testing the individual code sections or on how the entire system runs? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder's Weekly articles and projects.
👉 Links from the show:
We discuss a recent article from Semaphore about unit testing vs. integration testing. Christopher shares his experiences setting up automated tests for his own smaller projects. He also answers questions about building tests in an existing codebase and integrating tests across systems.
We also share several other articles and projects from the Python community, including a news roundup, improving default line charts to journal-quality infographics, why `hash(-1) == hash(-2)` in Python, data cleaning in data science, ways to work with large files in Python, a lightweight CLI viewer for log files, and a tool for mocking the `datetime` module for testing.
This episode is sponsored by Postman.
Topics:
- 00:00:00 -- Introduction
- 00:02:28 -- Python news and releases
- 00:04:02 -- From Default Line Charts to Journal-Quality Infographics
- 00:07:25 -- PyViz: Python Tools for Data Visualization
- 00:09:25 -- Why Is hash(-1) == hash(-2) in Python?
- 00:12:40 -- Sponsor: Postman
- 00:13:32 -- Data Cleaning in Data Science
- 00:19:29 -- 10 Ways to Work With Large Files in Python
- 00:23:40 -- Unit Testing vs. Integration Testing
- 00:29:17 -- Does university curriculum cover this?
- 00:31:2
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2025/01/31
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