Testing In Python: Robust Testing For Professionals

by Noah Gift, Alfredo Deza

Getting started with testing can be hard, and this book aims make it all very easy by using examples and explaining the process in a straightforward way. Testing is a core principle of robust software implementations and should be a prime skill to master that can be applied to any project.

177 pages, Paperback

Published February 27, 2020

About the author

Noah Gift is lecturer and consultant at UC Davis Graduate School of Management in the MSBA program, Northwestern's Master of Data Science program, and UC Berkeley Data Science program. He is also the founder of Pragmatic AI Labs. At Pragmatic AI Labs he provides consulting and training on Machine Learning and AI, and also develops AI SaaS products. At UC Davis, he is teaching graduate machine learning and consulting on Machine Learning and Cloud Architecture for students and faculty. He has published close to 100 technical publications including two books on subjects ranging from Pragmatic AI: An Introduction to Cloud-Based Machine Learning, First Edition to DevOps. He is also a certified AWS Solutions Architect and has an MBA from UC Davis, a M.S. in Computer Information Systems from Cal State Los Angeles, and a B.S. in Nutritional Science from Cal Poly San Luis Obispo. Professionally, Noah has approximately 20 years’ experience programming in Python and is a member of the Python Software Foundation. He has worked in roles ranging from CTO, General Manager, Consulting CTO and Cloud Architect. This experience has been with a wide variety of companies including ABC, Caltech, Sony Imageworks, Disney Feature Animation, Weta Digital, AT&T, Turner Studios and Linden Lab. In the last ten years, he has been responsible for shipping many new products at multiple companies that generated millions of dollars of revenue and had global scale. Currently he is consulting startups and other companies, on Machine Learning, Cloud Architecture and CTO level consulting via Pragmatic AI Labs