Use static analysis and testing tools: pylint, pytest and coverage

Опубликовано: 16 Ноябрь 2019
на канале: Pragmatic AI Labs

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Learn to use pylint, pytest and coverage tools to increase the quality of your Python projects. Noah Gift, the founder of Pragmatic AI Labs, explains how to use these tools in a comprehensive manner in a Python project.

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Code samples are here: https://github.com/noahgift/myrepo

You can find more content by Noah Gift at https://noahgift.com. If you enjoyed this video, here are additional resources to look at:

Coursera + Duke Specialization: Building Cloud Computing Solutions at Scale Specialization: https://www.coursera.org/specializati...

O'Reilly Book: Practical MLOps: https://www.amazon.com/Practical-MLOp...

O'Reilly Book: Python for DevOps: https://www.amazon.com/gp/product/B08...

Pragmatic AI: An Introduction to Cloud-based Machine Learning: https://www.amazon.com/gp/product/B07...

Pragmatic AI Labs Book: Python Command-Line Tools: https://www.amazon.com/gp/product/B08...

Pragmatic AI Labs Book: Cloud Computing for Data Analysis : https://www.amazon.com/gp/product/B09...

Pragmatic AI Book: Minimal Python: https://www.amazon.com/gp/product/B08...

Pragmatic AI Book: Testing in Python: https://www.amazon.com/gp/product/B08...

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View content on noahgift.com: https://noahgift.com/

View content on Pragmatic AI Labs Website: https://paiml.com/