Search

PythonReactSEOPDF
GitHub Skill

python-testing

Write and organize tests for scientific Python packages using pytest following Scientific Python community best practices. Use when setting up test suites, writing unit tests, integration tests, testing numerical algorithms, configuring test fixtures, parametrizing tests, or setting up continuous integration. Ideal for testing scientific computations, validating numerical accuracy, and ensuring code correctness.

uw-ssec☆ 12 Repository stars3 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

Features and purpose

Write and organize tests for scientific Python packages using pytest following Scientific Python community best practices. Use when setting up test suites, writing unit tests, integration tests, testing numerical algorithms, configuring test fixtures, parametrizing tests, or setting up continuous integration. Ideal for testing scientific computations, validating numerical accuracy, and ensuring code correctness.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

Guides ↗

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-02-12
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

chat Comments (0)

chat_bubble_outline

No comments yet. Be the first to share your thoughts!