Pratap Dangeti - Numerical Computing with Python: Harness the power of Python to analyze and find hidden patterns in the data

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First Published: December 2018
Production Reference: 1191218

Published by Packt Publishing Ltd.
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ISBN 978-1-78995-363-3

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Pratap Dangeti is currently working as a Senior Data Scientist at Bidgely Technologies, Bangalore. He has a vast experience in analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. Pratap is an artificial intelligence enthusiast. When not working, he likes to read about next-gen technologies and innovative methodologies.

Allen Yu, Ph.D., is a Chevening Scholar, 2017-18, and an MSC student in computer science at the University of Oxford. He holds a Ph.D. degree in Biochemistry from the Chinese University of Hong Kong, and he has used Python and Matplotlib extensively during his 10 years of bioinformatics experience.

Apart from academic research, Allen is the co-founder of Codex Genetics Limited, which aims to provide a personalized medicine service in Asia through the use of the latest genomics technology.

Claire Chung is pursuing her Ph.D. degree as a Bioinformatician at the Chinese University of Hong Kong. She enjoys using Python daily for work and lifehack. While passionate in science, her challenge-loving character motivates her to go beyond data analytics. She has participated in web development projects, as well as developed skills in graphic design and multilingual translation. She led the Campus Network Support Team in college and shared her experience in data visualization in PyCon HK 2017.

Aldrin Yim is a Ph.D. candidate and Markey Scholar in the Computation and System Biology program at Washington University, School of Medicine. His research focuses on applying big data analytics and machine learning approaches in studying neurological diseases and cancer. He is also the founding CEO of Codex Genetics Limited, which provides precision medicine solutions to patients and hospitals in Asia.

Theodore Petrou is a data scientist and the founder of Dunder Data, a professional educational company focusing on exploratory data analysis. He is also the head of Houston Data Science, a meetup group with more than 2,000 members that has the primary goal of getting local data enthusiasts together in the same room to practice data science. Before founding Dunder Data, Ted was a data scientist at Schlumberger, a large oil services company, where he spent the vast majority of his time exploring data.
Some of his projects included using targeted sentiment analysis to discover the root cause of past failures from engineer text, developing customized client/server dashboarding applications, and real-time web services to avoid mispricing sales items. Ted received his Master's degree in statistics from Rice University and used his analytical skills to play poker professionally and teach math before becoming a data scientist. Ted is a strong supporter of learning through practice and can often be found answering questions about pandas on Stack Overflow.