Mastering pandas: A complete guide to pandas, from installation to advanced data analysis techniques , Second Edition

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In this section, we give you a quick overview of the concepts of the data analysis process and where pandas fits into that picture. You will also learn how to install and set up the pandas library, along with the other supporting libraries and environments required to build an enterprise-grade data analysis pipeline.

This section is comprised of the following chapters:

Chapter 1, Introduction to pandas and Data Analysis
Chapter 2, Installation of pandas and Supporting Software

Key benefits

Manipulate and analyze your data expertly using the power of pandas

Work with missing data and time series data and become a true pandas expert

Includes expert tips and techniques on making your data analysis tasks easier

Description

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.

Who is this book for?

This book is for data scientists, analysts and Python developers who wish to explore advanced data analysis and scientific computing techniques using pandas. Some fundamental understanding of Python programming and familiarity with the basic data analysis concepts is all you need to get started with this book.

What you will learn

Speed up your data analysis by importing data into pandas

Keep relevant data points by selecting subsets of your data

Create a high-quality dataset by cleaning data and fixing missing values

Compute actionable analytics with grouping and aggregation in pandas

Master time series data analysis in pandas

Make powerful reports in pandas using Jupyter notebooks

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