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About the authors

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.

First and foremost, I would like to thank my mom, Lakshmi, for her support throughout my career and in writing this book. She has been my inspiration and motivation for continuing to improve my knowledge and helping me move ahead in my career. She is my strongest supporter, and I dedicate this book to her. I also thank my family and friends for their encouragement, without which it would not be possible to write this book.

I would like to thank my acquisition editor, Aman Singh, and content development editor, Mayur Pawanikar, who chose me to write this book and encouraged me constantly throughout the period of writing with their invaluable feedback and input.

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.

I wish to thank my fiancée, Dorothy, for her constant love and support, especially during the difficult time in balancing family, work, and life. On behalf of the authors, I would like to thank the wonderful team at Packt Publishing—Mayur, Tushar, Vikrant, Vivek, and the whole editorial team who helped in the creation of this book. Thanks to Tushar's introduction, the authors feel greatly honored to take part in this amazing project. Special thanks and much appreciation to Mayur for guiding the production of this book from the ground up. The authors truly appreciate the comprehensive reviews from Nikhil Borkar. We cannot be thankful enough to the entire Matplotlib and Python community for their hard work in creating open and incredibly useful tools. Last but not least, I would like to express my sincere gratitude to Prof. Ting-Fung Chan, my parents, friends, and colleagues for their guidance in my life and work.

Chevening Scholarships, the UK government’s global scholarship programme, are funded by the Foreign and Commonwealth Office (FCO) and partner organizations.

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.

I would like to thank Allen for getting me on board in this exciting authorship journey, and for being a helpful senior, always generous in sharing his experience and insights. It has been a great pleasure to work closely with Allen, Aldrin and the whole editorial team at Packt. I am grateful to everyone along the way that brought my interest in computer to daily practice. I wish to extend my sincere gratitude to my supervisor, Prof. Ting-Fung Chan, my parents, teachers, colleagues, and friends. I would like to make a special mention to my dearest group of high school friends for their unfailing support and source of cheer. I would also like to thank my childhood friend, Eugene, for introducing and provoking me into technological areas. With all the support, I will continue to prove that girls are capable of achieving in the STEM field.

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.

It is not a one-man task to write a book, and I would like to thank Allen and Claire for their invaluable input and effort during the time; the authors also owe a great debt of gratitude to all the editors and reviewers that made this book happened. I also wish to thank my parents for their love and understanding over the years, as well as my best friends, Charles and Angus, for accompanying me through my ups and downs over the past two decades. Last but not least, I also wish to extend my heartfelt thanks to Kimmy for all the love and support in life and moving all the way to Chicago to keep our love alive.

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.