Book Review: Doing Math with Python

When one of my favorite independent tech book publishers, No Starch Press, notified me about their new title “Doing Math with Python,” I was energized to review what potentially could be a good new resource for budding data scientists. I wasn’t disappointed. The book contains all the important first ingredients that a newbie data scientist needs to get started in the field. I particularly like the chapters on data visualization, statistics, and probability, not to mention the chapter on solving Calculus problems such as finding derivatives of functions, a topic that surfaces in machine learning methods like gradient descent. The book begins with simple tasks like visualizing data with graphs and writing programs that convert units of measurement, and ramps up to cover more advanced topics like drawing fractals and…

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