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Fabio Nelli - Python data analytics : data analysis and science using pandas, matplotlib and the Python programming language

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Fabio Nelli Python data analytics : data analysis and science using pandas, matplotlib and the Python programming language
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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.-- Read more...
Abstract: Python Data Analytics will help you tackle the world of data acquisition and analysis using the power of the Python language. Read more...

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Python Data Analytics

Data Analysis and Science Using Pandas, matplotlib, and the Python Programming Language

Python data analytics data analysis and science using pandas matplotlib and the Python programming language - image 2

Fabio Nelli

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Python Data Analytics

Copyright 2015 by Fabio Nelli

This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publishers location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law.

ISBN-13 (pbk): 978-1-4842-0959-2

ISBN-13 (electronic): 978-1-4842-0958-5

Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark.

The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.

While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.

Managing Director: Welmoed Spahr

Lead Editor: Steve Anglin

Technical Reviewer: Shubham Singh Tomar

Editorial Board: Steve Anglin, Louise Corrigan, Morgan Ertel, Jonathan Gennick, Robert Hutchinson, Michelle Lowman, James Markham, Susan McDermott, Matthew Moodie, Jeffrey Pepper, Douglas Pundick, Ben Renow-Clarke, Gwenan Spearing, Steve Weiss

Coordinating Editor: Mark Powers

Copy Editor: Brendan Frost

Compositor: SPi Global

Indexer: SPi Global

Artist: SPi Global

Distributed to the book trade worldwide by Springer Science+Business Media New York, 233 Spring Street, 6th Floor, New York, NY 10013. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail . Apress Media, LLC is a California LLC and the sole member (owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation.

For information on translations, please e-mail .

Apress and friends of ED books may be purchased in bulk for academic, corporate, or promotional use. eBook versions and licenses are also available for most titles. For more information, reference our Special Bulk SaleseBook Licensing web page at www.apress.com/bulk-sales .

Any source code or other supplementary materials referenced by the author in this text is available to readers at www.apress.com/9781484209592 . For detailed information about how to locate your books source code, go to www.apress.com/source-code/ . Readers can also access source code at SpringerLink in the Supplementary Material section for each chapter.

Contents at a Glance

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About the Author Fabio Nelli is an IT Scientific Application Speciali - photo 27

About the Author Fabio Nelli is an IT Scientific Application Specialist at - photo 28

About the Author Fabio Nelli is an IT Scientific Application Specialist at - photo 29

About the Author

Fabio Nelli is an IT Scientific Application Specialist at IRBM Science Park a - photo 30

Fabio Nelli is an IT Scientific Application Specialist at IRBM Science Park, a private research center in Pomezia, Roma (Italy). He has been a computer consultant for many years at IBM, EDS, Merck Sharp, and Dohme, along with several banks and insurance companies.

He has an Organic Chemistry degree and many years of experience in Information Technologies and Automation Systems applied to Life Sciences (Tech Specialist at Beckman Coulter Italy and Spain).

He is currently developing Java applications that interface Oracle databases with scientific instrumentations, generating data and Web server applications and providing analysis of the results to researchers in real time.

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