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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 FREE CHAPTER

2. Diving into NumPY

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

Curtis Miller is a doctoral candidate at the University of Utah studying mathematical statistics. He writes software for both research and personal interest, including the R package (CPAT) available on the Comprehensive R Archive Network (CRAN). Among Curtis Miller's publications are academic papers along with books and video courses all published by Packt Publishing. Curtis Miller's video courses include Unpacking NumPy and Pandas, Data Acquisition and Manipulation with Python, Training Your Systems with Python Statistical Modelling, and Applications of Statistical Learning with Python. His books include Hands-On Data Analysis with NumPy and Pandas.

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