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Python data analytics = data analysi...

Nelli, Fabio.

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Python data analytics = data analysis and science using Pandas, matplotlib, and the Python programming language /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Python data analytics/ by Fabio Nelli.
Reminder of title:	data analysis and science using Pandas, matplotlib, and the Python programming language /
Author:	Nelli, Fabio.
Published:	Berkeley, CA :Apress : : 2015.,
Description:	xxi, 337 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Python (Computer program language) -
Online resource:	http://dx.doi.org/10.1007/978-1-4842-0958-5
ISBN:	9781484209585

Python data analytics = data analysis and science using Pandas, matplotlib, and the Python programming language /
Nelli, Fabio.

Python data analyticsdata analysis and science using Pandas, matplotlib, and the Python programming language /[electronic resource] :by Fabio Nelli. - Berkeley, CA :Apress :2015. - xxi, 337 p. :ill., digital ;24 cm.

Python Data Analytics will help you tackle the world of data acquisition and analysis using the power of the Python language. At the heart of this book lies the coverage of pandas, an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Author Fabio Nelli expertly shows the strength of the Python programming language when applied to processing, managing and retrieving information. Inside, you will see how intuitive and flexible it is to discover and communicate meaningful patterns of data using Python scripts, reporting systems, and data export. This book examines how to go about obtaining, processing, storing, managing and analyzing data using the Python programming language. You will use Python and other open source tools to wrangle data and tease out interesting and important trends in that data that will allow you to predict future patterns. Whether you are dealing with sales data, investment data (stocks, bonds, etc.), medical data, web page usage, or any other type of data set, Python can be used to interpret, analyze, and glean information from a pile of numbers and statistics. This book is an invaluable reference with its examples of storing and accessing data in a database; it walks you through the process of report generation; it provides three real world case studies or examples that you can take with you for your everyday analysis needs.

ISBN: 9781484209585

Standard No.: 10.1007/978-1-4842-0958-5doiSubjects--Topical Terms:

729789
Python (Computer program language)

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

Python data analytics = data analysis and science using Pandas, matplotlib, and the Python programming language /
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520 $a Python Data Analytics will help you tackle the world of data acquisition and analysis using the power of the Python language. At the heart of this book lies the coverage of pandas, an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Author Fabio Nelli expertly shows the strength of the Python programming language when applied to processing, managing and retrieving information. Inside, you will see how intuitive and flexible it is to discover and communicate meaningful patterns of data using Python scripts, reporting systems, and data export. This book examines how to go about obtaining, processing, storing, managing and analyzing data using the Python programming language. You will use Python and other open source tools to wrangle data and tease out interesting and important trends in that data that will allow you to predict future patterns. Whether you are dealing with sales data, investment data (stocks, bonds, etc.), medical data, web page usage, or any other type of data set, Python can be used to interpret, analyze, and glean information from a pile of numbers and statistics. This book is an invaluable reference with its examples of storing and accessing data in a database; it walks you through the process of report generation; it provides three real world case studies or examples that you can take with you for your everyday analysis needs.
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