Overview
- Python Data Analytics examines how to go about obtaining, processing, storing, managing and analyzing data using the Python programming language.
- pandas are covered; it is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for Python.
- Author Fabio Nelli expertly shows the strength of the Python programming language when applied to processing, managing and retrieving information.
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Table of contents (13 chapters)
About this book
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 allowyou 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.
Reviews
“The book is named ‘Python Data Analytics’ and it provides exactly what it says. It shows you how to use Python step-by-step for Data Analytics. The important libraries in Python – NumPy, Pandas, MatPlotLib are presented in literally step-by-step introduction – from their installation to about 70-80 % of their properties and functions. … if you need Python for data analysis this book is quite ok. With step by step approach, you will become fluent in what you write … .” (Vitosh Academy, vitoshacademy.com, September, 2015)
About the author
Bibliographic Information
Book Title: Python Data Analytics
Book Subtitle: Data Analysis and Science using pandas, matplotlib and the Python Programming Language
Authors: Fabio Nelli
DOI: https://doi.org/10.1007/978-1-4842-0958-5
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Fabio Nelli 2015
eBook ISBN: 978-1-4842-0958-5Published: 25 August 2015
Edition Number: 1
Number of Pages: XXI, 337
Number of Illustrations: 607 b/w illustrations
Topics: Python, Programming Languages, Compilers, Interpreters, Computer Appl. in Administrative Data Processing