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Hands-On Data Analysis with Pandas


Hands-On Data Analysis with Pandas Stefanie Molin

Efficiently perform data collection, wrangling, analysis, and visualization using Python. Recent advancements in computing and artificial intelligence have completely changed the way we understand the world. Our current ability to record and analyze data has already transformed industries and inspired big changes in society.

About the author Stefanie Molin is a data scientist and software engineer at Bloomberg LP in NYC, tackling tough problems in information security, particularly revolving around anomaly detection, building tools for gathering data, and knowledge sharing. She has extensive experience in data science, designing anomaly detection solutions, and utilizing machine learning in both R and Python in the AdTech and FinTech industries. She holds a B.S. in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science, with minors in economics, and entrepreneurship and innovation. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers. Writing this book was a tremendous amount of work, but I have grown a lot through the experience: as a writer, as a technologist, and as a person. This wouldn't have been possible without the help of my friends, family, and colleagues. I'm very grateful to you all. In particular, I want to thank Aliki Mavromoustaki, Felipe Moreno, Suphannee Sivakorn, Lucy Hao, Javon Thompson, Alexander Comerford, and Ryan Molin. (The full version of my acknowledgments can be found on my GitHub; see the preface for the link.)

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