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

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United States Pragmatic AI Labs
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17,700
Published on ● Video Link: https://www.youtube.com/watch?v=ABaPWYF_Tl8


Duration: 6:00
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8

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.

You can purchase the entire video here: http://www.informit.com/store/essential-machine-learning-and-ai-with-python-and-jupyter-9780135261095

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/specializations/building-cloud-computing-solutions-at-scale

O'Reilly Book: Practical MLOps: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017

O'Reilly Book: Python for DevOps: https://www.amazon.com/gp/product/B082P97LDW/

Pragmatic AI: An Introduction to Cloud-based Machine Learning: https://www.amazon.com/gp/product/B07FB8F8QP/

Pragmatic AI Labs Book: Python Command-Line Tools: https://www.amazon.com/gp/product/B0855FSFYZ

Pragmatic AI Labs Book: Cloud Computing for Data Analysis : https://www.amazon.com/gp/product/B0992BN7W8


Pragmatic AI Book: Minimal Python: https://www.amazon.com/gp/product/B0855NSRR7

Pragmatic AI Book: Testing in Python: https://www.amazon.com/gp/product/B0855NSRR7

Subscribe to Pragmatic AI Labs YouTube Channel: https://www.youtube.com/channel/UCNDfiL0D1LUeKWAkRE1xO5Q

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

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



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Tags:
python
pylint
coverage
pytest
makefile
build system
devops