Mastering pandas

Master the features and capabilities of pandas, a data analysis toolkit for Python

Mastering pandas

Femi Anthony

Master the features and capabilities of pandas, a data analysis toolkit for Python
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Book Details

ISBN 139781783981960
Paperback364 pages

Book Description

Python is a ground breaking language for its simplicity and succinctness, allowing the user to achieve a great deal with a few lines of code, especially compared to other programming languages. The pandas brings these features of Python into the data analysis realm, by providing expressiveness, simplicity, and powerful capabilities for the task of data analysis. By mastering pandas, users will be able to do complex data analysis in a short period of time, as well as illustrate their findings using the rich visualization capabilities of related tools such as IPython and matplotlib.

This book is an in-depth guide to the use of pandas for data analysis, for either the seasoned data analysis practitioner or the novice user. It provides a basic introduction to the pandas framework, and takes users through the installation of the library and the IPython interactive environment. Thereafter, you will learn basic as well as advanced features, such as MultiIndexing, modifying data structures, and sampling data, which provide powerful capabilities for data analysis.

Table of Contents

Chapter 3: The pandas Data Structures
Chapter 4: Operations in pandas, Part I – Indexing and Selecting
Chapter 5: Operations in pandas, Part II – Grouping, Merging, and Reshaping of Data
Chapter 6: Missing Data, Time Series, and Plotting Using Matplotlib

What You Will Learn

  • Download, install, and set up Python, pandas, and related tools to perform data analysis for different operating environments
  • Practice using IPython as an interactive environment for doing data analysis using pandas
  • Master the core features of pandas used in data analysis
  • Get to grips with the more advanced features of pandas
  • Understand the basics of using matplotlib to plot data analysis results
  • Analyze real-world datasets using pandas
  • Acquire knowledge of using pandas for basic statistical analysis

Authors

Table of Contents

Chapter 3: The pandas Data Structures
Chapter 4: Operations in pandas, Part I – Indexing and Selecting
Chapter 5: Operations in pandas, Part II – Grouping, Merging, and Reshaping of Data
Chapter 6: Missing Data, Time Series, and Plotting Using Matplotlib

Book Details

ISBN 139781783981960
Paperback364 pages
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