rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Python Data Analytics
    sub title: Data Analysis and Science Using Pandas, matplotlib, and the Python Programming Language
  name:
    name part: Nelli, Fabio.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXI, 337 p. 607 illus. online resource.
  abstract: 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.
  note: by Fabio Nelli.
  subject:
    topic: Computer science
  subject:
    topic: Programming languages (Electronic computers)
  subject:
    topic: Application software
  subject:
    topic: Computer Science
  subject:
    topic: Programming Languages, Compilers, Interpreters
  subject:
    topic: Computer Appl. in Administrative Data Processing
  classification: QA76.7-76.73
  classification: QA76.76.C65
  classification: 005.13
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781484209585
  identifier: http://dx.doi.org/10.1007/978-1-4842-0958-5
  record info:
    record creation date: 150825
    record change date: 20151218071926.0
    record identifier: 978-1-4842-0958-5