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Python data analyticsdata analysis a...

Nelli, Fabio.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Python data analyticsby Fabio Nelli.
其他題名:	data analysis and science using Pandas, matplotlib, and the Python programming language /
作者:	Nelli, Fabio.
出版者:	Berkeley, CA :Apress :2015.
面頁冊數:	xxi, 337 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Python (Computer program language)
電子資源:	http://dx.doi.org/10.1007/978-1-4842-0958-5
ISBN:	9781484209585$q(electronic bk.)

Python data analyticsdata 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$q(electronic bk.)

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

215247
Python (Computer program language)

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

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