About the Authors

Noah Gift is a lecturer at the Duke MIDS and the Northwestern Graduate Data Science, UC Berkeley Graduate Data Science, and UC Davis Graduate School of Management in the MSBA programs. Professionally, Noah has approximately 20 years of experience programming in Python and is a Python Software Foundation Fellow. He has worked for a variety of companies in roles ranging from CTO, general manager, consulting CTO, and cloud architect. Currently, he is consulting startups and other companies on machine learning and cloud architecture, and is doing CTO-level consulting as the founder of Pragmatic AI Labs.

He has published over one hundred technical publications, including two books, on subjects ranging from cloud machine learning to DevOps, for publications including O’Reilly, Pearson, DataCamp, and Udacity. He is also a certified AWS Solutions Architect. Noah has an MBA from the University of California, Davis; an MS in computer information systems from California State University, Los Angeles; and a BS in nutritional science from Cal Poly, San Luis Obispo. You can find more about Noah by following him on Github, visiting his personal website, or connecting with him on LinkedIn.

Kennedy Behrman is a veteran consultant specializing in architecting and implementing cloud solutions for early-stage startups. He has both undergraduate and graduate degrees from the University of Pennsylvania, including an MS in Computer Information Technology and postgraduate work in the Computer Graphics and Game Programming program.

He is experienced in data engineering, data science, AWS solutions, and engineering management, and has acted as a technical editor on a number of Python and data science-related publications. As a data scientist, he helped develop a proprietary growth hacking machine-learning algorithm for a startup that led to the exponential growth of the platform. Afterward, he then hired and managed a data science team that supported this technology. In addition to that experience, he has been active in the Python language for close to 15 years, giving talks at user groups, writing articles, and serving as a technical editor to many publications.

Alfredo Deza is a passionate software engineer, avid open source developer, Vim plug-in author, photographer, and former Olympic athlete. He has given several lectures around the world about open source software, personal development, and professional sports. He has rebuilt company infrastructure, designed shared storage, and replaced complex build systems, always in search of efficient and resilient environments. With a strong belief in testing and documentation, he continues to drive robust development practices wherever he is.

As a knowledge-craving developer, Alfredo can be found giving presentations in local groups about Python, filesystems and storage, system administration, and professional sports.

Grig Gheorghiu has more than 25 years of industry experience working in diverse roles such as programmer, test engineer, research lab manager, system/network/security/cloud architect, and DevOps lead. For the past 20 years, Grig has been architecting and building the infrastructure for large consumer-facing and ecommerce websites such as Evite and NastyGal, as well as leading technical operations and engineering teams. Grig has a BSc degree in CS from the University of Bucharest, Romania, and a MSc degree in CS from USC in Los Angeles.

Grig blogs on programming, cloud computing, system administration, data analytics, and automated testing tools and techniques on Medium, and likes to believe that a fortune cookie he once got is right: his mind is creative, original, and alert.