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Learning pandas - Second Edition by Michael Heydt

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What this book covers

Chapter 1 , pandas and Data Analysis, is a hands-on introduction to the key features of pandas. The idea of this chapter is to provide some context for using pandas in the context of statistics and data science. The chapter will get into several concepts in data science and show how they are supported by pandas. This will set a context for each of the subsequent chapters, mentioning each chapter relates to both data science and data science processes.

Chapter 2, Up and Running with pandas, instructs the reader on obtain and install pandas, and to get introduce a few of the basic concepts in pandas. We will also look at how the examples are presented using iPython and Juypter notebook.

Chapter 3, Representing Univariate ...

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