About the Reviewers

Sagar Ahire is a Master's student in Computer Science. He primarily studies Natural Language Processing using statistical techniques and relies heavily on Python—specifically, the IPython ecosystem for scientific computing. You can find his work at github.com/DJSagarAhire.

I'd like to thank the community of Python for coming together to develop such an amazing ecosystem around the language itself. Apart from that, I'd like to thank my parents and teachers for supporting me and teaching me new things. Finally, I'd like to thank Packt Publishing for approaching me to work on this book; it has been a wonderful learning experience.

Steven D. Essinger, Ph.D. is a data scientist of Recommender Systems and is working in the playlist team at Pandora in Oakland, California. He holds a PhD in Electrical Engineering and focuses on the development of novel, end-to-end computational pipelines employing machine-learning techniques. Steve has previously worked in the field of biological sciences, developing Bioinformatics pipelines for ecologists. He has also worked as a RF systems engineer and holds numerous patents in wireless product design and RFID.

Steve may be reached via LinkedIn at https://www.linkedin.com/in/sessinger.

David Selassie Opoku is a developer and an aspiring data scientist. He is currently a technology teaching fellow at the Meltwater Entrepreneurial School of Technology, Ghana, where he teaches and mentors young entrepreneurs in software development skills and best practices.

David is a graduate of Swarthmore College, Pennsylvania, with a BA in Biology, and he is also a graduate of the New Jersey Institute of Technology with an MS in Computer Science.

David has had the opportunity to work with the Boyce Thompson Institute for Plant Research, the Eugene Lang Center for Civic and Social Responsibility, UNICEF Health Section, and a tech start-up in New York City. He loves Jesus, spending time with family and friends, and tinkering with data and systems.

David may be reached via LinkedIn at https://www.linkedin.com/in/sdopoku.