About This Book
This book covers data acquisition, cleaning, storing, retrieval, transformation, visualization, elements of advanced data analysis (network analysis), statistics, and machine learning. It is not an introduction to data science or a general data science reference, although you’ll find a quick overview of how to do data science in Chapter 1, What Is Data Science?. I assume that you have learned the methods of data science, including statistics, elsewhere. The subject index at the end of the book refers to the Python implementations of the key concepts, but in most cases you will already be familiar with the concepts.
You’ll find a summary of Python data structures; string, file, and web functions; regular expressions; and even ...
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