Python Command Line Tools

by Noah Gift

Learn to the simplest and most powerful UI ever invented, the command-line. This book teaches you the skills to master creating Python command line tools using the Click framework.

Chapter 1: Getting Started with Click
Chapter 2: Understanding IPython
Chapter Three: Testing with Click
Chapter 4: Integrating Linux Commands with Click
Chapter 5: Writing pure Bash or ZSH command-line tools
Chapter 6: Using Click subcommands
Chapter 7: Turbocharging Click with Numba High-Performance library
Chapter 8: Integrating AWS Lambda and Click
Chapter 9: Case Studies
Chapter 10:War Stories

Unknown Binding

Published May 31, 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