https://github.com/linkedinlearning/testing-python-data-science-code-2477020
This repo is for the Linkedin Learning course: Testing Python Data Science Code
https://github.com/linkedinlearning/testing-python-data-science-code-2477020
Last synced: 6 months ago
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This repo is for the Linkedin Learning course: Testing Python Data Science Code
- Host: GitHub
- URL: https://github.com/linkedinlearning/testing-python-data-science-code-2477020
- Owner: LinkedInLearning
- License: other
- Created: 2022-05-17T16:06:22.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2023-06-08T12:10:58.000Z (almost 3 years ago)
- Last Synced: 2025-07-08T07:45:39.446Z (9 months ago)
- Language: Python
- Size: 35.2 KB
- Stars: 18
- Watchers: 5
- Forks: 14
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Codeowners: .github/CODEOWNERS
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README
# Testing Python Data Science Code
This is the repository for the LinkedIn Learning course Testing Python Data Science Code. The full course is available from [LinkedIn Learning][lil-course-url].
![Testing Python Data Science Code][lil-thumbnail-url]
The larger and more complex the world of data science becomes, the more data there is to collect, sort, clean, model on, and much more. An emerging pain point in this brave new world is that a lot can go wrong if your data engineering and development practices are shoddy. This advanced-level course shows data scientists, Python developers, and data analysts how to test scientific (data science) code written in Python. Veteran data science trainer and consultant Miki Tebeka covers testing techniques, with a focus on issues specific to data science code, such as floating point errors, statistical testing, working with large datasets, choosing a baseline, and more. After presenting a testing overview, Miki dives into testing with pytest and hypothesis. He explains how to use schemas, truth values, approximate testing, and more in data validation. Miki goes over regression testing, then demonstrates how to test Jupyter Notebooks.
### Instructor
Miki Tebeka
Check out my other courses on [LinkedIn Learning](https://www.linkedin.com/learning/instructors/miki-tebeka).
[lil-course-url]: https://www.linkedin.com/learning/testing-python-data-science-code
[lil-thumbnail-url]: https://cdn.lynda.com/course/2477020/2477020-1661795583756-16x9.jpg