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Hands-On Data Analysis with NumPy and pandas

You're reading from Hands-On Data Analysis with NumPy and pandas Implement Python packages from data manipulation to processing

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781789530797

Length 168 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Analysis

Author (1):

Curtis Miller

View More author details

Table of Contents (8) Chapters

Preface

1. Setting Up a Python Data Analysis Environment

2. Diving into NumPY FREE CHAPTER

3. Operations on NumPy Arrays

4. pandas are Fun! What is pandas?

5. Arithmetic, Function Application, and Mapping with pandas

6. Managing, Indexing, and Plotting

7. Other Books You May Enjoy

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pandas are Fun! What is pandas?

We've talked about NumPy in previous chapters. Now let's move on to pandas, a well-designed package for storing, managing, and manipulating data in Python. We'll start this chapter by discussing what pandas is and why people use it. Next, we'll discuss the two most important objects provided by pandas: series and DataFrames. We will then cover how to subset your data. In this chapter, we'll get a brief overview of what pandas is, and why it's popular.

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Authors (1)

Miller

Miller

Preston Miller is a consultant at an internationally recognized risk management firm. Preston holds an undergraduate degree from Vassar College and a master's degree in digital forensics from Marshall University. While at Marshall, Preston unanimously received the prestigious J. Edgar Hoover Foundation's scientific scholarship. Preston is a published author, recently of Python Digital Forensics Cookbook, which won the Forensic 4:cast Digital Forensics Book of the Year award in 2018. Preston is a member of the GIAC advisory board and holds multiple industry-recognized certifications in his field.

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