Python Data Analytics Data Analysis and Science using pandas, matplotlib and the Python Programming Language /

Mostrar otras versiones (1)

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 fo...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nelli, Fabio (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress : Imprint: Apress, 2015.
Edición:1st ed. 2015.
Temas:
Python (Computer program language).
Compilers (Computer programs).
Information technology-Management.
Python.
Compilers and Interpreters.
Computer Application in Administrative Data Processing.
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-1-4842-0958-5
003 DE-He213
005 20220124155943.0
007 cr nn 008mamaa
008 150825s2015 xxu| s |||| 0|eng d
020 |a 9781484209585  |9 978-1-4842-0958-5 
024 7 |a 10.1007/978-1-4842-0958-5  |2 doi 
050 4 |a QA76.73.P98 
072 7 |a UMX  |2 bicssc 
072 7 |a COM051360  |2 bisacsh 
072 7 |a UMX  |2 thema 
082 0 4 |a 005.133  |2 23 
100 1 |a Nelli, Fabio.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Python Data Analytics  |h [electronic resource] :  |b Data Analysis and Science using pandas, matplotlib and the Python Programming Language /  |c by Fabio Nelli. 
250 |a 1st ed. 2015. 
264 1 |a Berkeley, CA :  |b Apress :  |b Imprint: Apress,  |c 2015. 
300 |a XXI, 337 p. 607 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
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. 
650 0 |a Python (Computer program language). 
650 0 |a Compilers (Computer programs). 
650 0 |a Information technology-Management. 
650 1 4 |a Python. 
650 2 4 |a Compilers and Interpreters. 
650 2 4 |a Computer Application in Administrative Data Processing. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781484209592 
776 0 8 |i Printed edition:  |z 9781484209608 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-1-4842-0958-5  |z Texto Completo 
912 |a ZDB-2-CWD 
912 |a ZDB-2-SXPC 
950 |a Professional and Applied Computing (SpringerNature-12059) 
950 |a Professional and Applied Computing (R0) (SpringerNature-43716) 

Ejemplares similares