Python 3 and Data Analytics Pocket Primer
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This book contains a fast-paced introduction to as much relevant information about data analytics as possible in a book of this size. At the same time, please keep in mind: you will not become an expert in data analytics by reading this book.
However, you will be exposed to a variety of features of NumPy and Pandas, how to write regular expressions (with the accompanying appendix), and how to perform many data cleaning tasks. Keep in mind that some topics are presented in a cursory manner for two main reasons. First, it’s important that you be exposed to these concepts. In some cases, you will find topics that might pique your interest, and hence motivate you to learn more about them through self-study; in other cases, you will probably be satisfied with a brief introduction. In other words, you will decide whether or not to delve into more detail regarding the topics in this book. Second, a full treatment of all the topics that are covered in this book would significantly increase its length. This is contrary to the series design as “primers.” It’s important for you to decide if this approach is suitable for your needs and learning style: if not, you can select one or more of the plethora of data analytics books that are available.