Book Image

Mastering pandas - Second Edition

By : Ashish Kumar
Book Image

Mastering pandas - Second Edition

By: Ashish Kumar

Overview of this book

pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful data manipulation techniques in pandas to perform complex data analysis in various domains. An update to our highly successful previous edition with new features, examples, updated code, and more, this book is an in-depth guide to get the most out of pandas for data analysis. Designed for both intermediate users as well as seasoned practitioners, you will learn advanced data manipulation techniques, such as multi-indexing, modifying data structures, and sampling your data, which allow for powerful analysis and help you gain accurate insights from it. With the help of this book, you will apply pandas to different domains, such as Bayesian statistics, predictive analytics, and time series analysis using an example-based approach. And not just that; you will also learn how to prepare powerful, interactive business reports in pandas using the Jupyter notebook. By the end of this book, you will learn how to perform efficient data analysis using pandas on complex data, and become an expert data analyst or data scientist in the process.
Table of Contents (21 chapters)
Free Chapter
1
Section 1: Overview of Data Analysis and pandas
4
Section 2: Data Structures and I/O in pandas
7
Section 3: Mastering Different Data Operations in pandas
12
Section 4: Going a Step Beyond with pandas

Summary

Before we delve into the awesomeness of pandas, it is mission critical that we install Python and pandas correctly, choose the right IDEs, and set the right options. In this chapter, we discussed these and more. Here is a summary of key takeaways from the chapter:

  • Python 3.x is available, but many users still prefer to use version 2.7 as it is more stable and scientific-computation friendly.
  • The support and bug fixing for version 2.7 has now been stopped.
  • Translating code from one version to other is a breeze. One can also use both versions together using the virtualenv package, which comes pre-installed with Anaconda.
  • Anaconda is a popular Python distribution that comes with 700+ libraries/packages and several popular IDEs, such as Jupyter and Spyder.
  • Python codes are callable from, and usable in, other tools, like R, Azure ML Studio, H20.ai, and Julia.
  • Some of the day...