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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):

Miller

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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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Setting Up a Python Data Analysis Environment

In this chapter, we will cover the following topics:

Installing Anaconda
Exploring Jupyter Notebooks
Exploring an alternative to Jupyter
Managing the Anaconda package
Setting up a database

In this chapter, we'll discuss installing Anaconda and managing it. Anaconda is a software package we will use in the following chapters of this book.

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Hands-On Data Analysis with NumPy and pandas

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Hands-On Data Analysis with NumPy and pandas

Published in: Jun 2018

Publisher: Packt

ISBN-13: 9781789530797

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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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