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.
Python, a widely-known programming language, is also one of the leading open platforms for data science. IPython is a mature Python project that provides scientist-friendly interactive access to Python. It is part of the broader Project Jupyter, which ...
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