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Learning Pandas

You're reading from Learning Pandas Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery

Product type Paperback

Published in Apr 2015

Publisher Packt

ISBN-13 9781783985128

Length 504 pages

Edition 1st Edition

Languages

Python

Tools

Pandas

Concepts

Data Analysis

Author (1):

Michael Heydt

View More author details

Table of Contents (14) Chapters

Preface

1. A Tour of pandas

2. Installing pandas FREE CHAPTER

3. NumPy for pandas

4. The pandas Series Object

5. The pandas DataFrame Object

6. Accessing Data

7. Tidying Up Your Data

8. Combining and Reshaping Data

9. Grouping and Aggregating Data

10. Time-series Data

11. Visualization

12. Applications to Finance

Index

Starting the IPython Notebook server

IPython Notebooks are a web server-based interactive environment that combine Python code execution, text, mathematics, plots, and rich media into a single document, along with automatic persistence of code and an easy means of deploying code to the Web. You can find more details on the IPython Notebook site at http://ipython.org/notebook.html.

IPython Notebooks are an exceptional way to learn both Python and pandas. This book will neither assume the use of IPython Notebooks, nor teach their usage beyond the brief examples given in this section. However, the code provided with the book are IPython Notebook files, so demonstrating how to run the server provided by Anaconda is worth a few paragraphs of explanation.

The IPython Notebook server can be started with the following shell command (the same on all platforms):

ipython notebook

You will get a small amount of output on the console:

elheydt/.ipython/profile_default'
2014-12-06 21:36:11.547 [NotebookApp...

Visually different images

CONTINUE READING

83

Tech Concepts

36

Programming languages

73

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Learning Pandas

You have been reading a chapter from

Learning Pandas

Published in: Apr 2015

Publisher: Packt

ISBN-13: 9781783985128

© 2015 Packt Publishing Limited All Rights Reserved

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Authors (1)

Michael Heydt

Michael Heydt

Michael Heydt is an independent consultant, programmer, educator, and trainer. He has a passion for learning and sharing his knowledge of new technologies. Michael has worked in multiple industry verticals, including media, finance, energy, and healthcare. Over the last decade, he worked extensively with web, cloud, and mobile technologies and managed user experiences, interface design, and data visualization for major consulting firms and their clients. Michael's current company, Seamless Thingies , focuses on IoT development and connecting everything with everything. Michael is the author of numerous articles, papers, and books, such as D3.js By Example, Instant Lucene. NET, Learning Pandas, and Mastering Pandas for Finance, all by Packt. Michael is also a frequent speaker at .NET user groups and various mobile, cloud, and IoT conferences and delivers webinars on advanced technologies.

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