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Mastering pandas

Mastering pandas

By : Kumar
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Mastering pandas

Mastering pandas

By: 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)
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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

Navigating Jupyter Notebook

Jupyter Notebook, known as IPython Notebook previously, is a wonderful tool for reporting. It allows us to integrate regular code with rich styling, formatting, markdown, and special text such as equation plots and live coding. This section will help you understand the essence of a Jupyter Notebook.

Jupyter Notebook can be launched through Anaconda Navigator or from the Terminal using the Jupyter Notebook command. It opens in the browser. The following window opens on startup:

Figure 9.20: Startup screen once a Jupyter Notebook loads up

A Jupyter Notebook can be created in any of the folders in the directory. The New option creates a new notebook, folder, or Terminal. The most interesting feature of this option is that it allows us to shift between multiple Conda environments with ease. For example, both Python 2 and Python 3 environments can be accessed...

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