Preface
We are becoming awash in the flood of digital data from scientific research, engineering, economics, politics, journalism, business, and many other domains. As a result, analyzing, visualizing, and harnessing data is the occupation of an increasingly large and diverse set of people. Quantitative skills such as programming, numerical computing, mathematics, statistics, and data mining, which form the core of data science, are more and more appreciated in a seemingly endless plethora of fields.
My previous book, Learning IPython for Interactive Computing and Data Visualization, Packt Publishing, published in 2013, was a beginner-level introduction to data science and numerical computing with Python. This widely-used programming language is ...
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