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Mastering pandas. - Second Edition

You're reading from  Mastering pandas. - Second Edition

Product type Book
Published in Oct 2019
Publisher
ISBN-13 9781789343236
Pages 674 pages
Edition 2nd Edition
Languages
Author (1):
Ashish Kumar Ashish Kumar
Profile icon Ashish Kumar

Table of Contents (21) Chapters

Preface Section 1: Overview of Data Analysis and pandas
Introduction to pandas and Data Analysis Installation of pandas and Supporting Software Section 2: Data Structures and I/O in pandas
Using NumPy and Data Structures with pandas I/Os of Different Data Formats with pandas Section 3: Mastering Different Data Operations in pandas
Indexing and Selecting in pandas Grouping, Merging, and Reshaping Data in pandas Special Data Operations in pandas Time Series and Plotting Using Matplotlib Section 4: Going a Step Beyond with pandas
Making Powerful Reports In Jupyter Using pandas A Tour of Statistics with pandas and NumPy A Brief Tour of Bayesian Statistics and Maximum Likelihood Estimates Data Case Studies Using pandas The pandas Library Architecture pandas Compared with Other Tools A Brief Tour of Machine Learning Other Books You May Enjoy

Section 2: Data Structures and I/O in pandas

The key feature of pandas is its ability to give you all the flexibility and ease of use to work with different data structures, such as 1D, 2D, or even 3D arrays, as well as different types of file formats—ranging from text files to CSV files. In this section, we see how to work with these different file types, and also the different operations you can perform on that data, using pandas.

This section is comprised of the following chapters:

  • Chapter 3, Using NumPy and Data Structures with pandas
  • Chapter 4, I/O of Different Data Formats with pandas
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Mastering pandas. - Second Edition
Published in: Oct 2019 Publisher: ISBN-13: 9781789343236
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