skip to content
Python Data Science Handbook. Preview this item
ClosePreview this item
Checking...

Python Data Science Handbook.

Author: Jake VanderPlas; TotalBoox,; TBX,
Publisher: O'Reilly Media 2016.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all--IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Programming Languages; Science; Programming; Data Modeling & Design
Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jake VanderPlas; TotalBoox,; TBX,
ISBN: 9781491912133 1491912138 9781491912126 149191212X
OCLC Number: 969044283
Description: 1 online resource

Abstract:

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all--IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you'll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/969044283> # Python Data Science Handbook.
    a schema:CreativeWork, schema:Book, schema:MediaObject ;
   library:oclcnum "969044283" ;
   schema:author <http://experiment.worldcat.org/entity/work/data/2586888606#Person/vanderplas_jake> ; # Jake VanderPlas
   schema:bookFormat schema:EBook ;
   schema:contributor <http://experiment.worldcat.org/entity/work/data/2586888606#Organization/tbx> ; # TBX,
   schema:contributor <http://experiment.worldcat.org/entity/work/data/2586888606#Organization/totalboox> ; # TotalBoox,
   schema:datePublished "2016" ;
   schema:description "For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all--IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you'll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms."@en ;
   schema:exampleOfWork <http://worldcat.org/entity/work/id/2586888606> ;
   schema:genre "Electronic books"@en ;
   schema:genre "Programming Languages; Science; Programming; Data Modeling & Design"@en ;
   schema:inLanguage "en" ;
   schema:name "Python Data Science Handbook."@en ;
   schema:productID "969044283" ;
   schema:publication <http://www.worldcat.org/title/-/oclc/969044283#PublicationEvent/o_reilly_media2016> ;
   schema:publisher <http://experiment.worldcat.org/entity/work/data/2586888606#Agent/o_reilly_media> ; # O'Reilly Media
   schema:url <https://login.libproxy.uregina.ca:8443/login?url=http://proquest.safaribooksonline.com/9781491912126> ;
   schema:url <http://cdn.totalboox.com/static/covers/ORL/40e924b5bb866239-b.jpg> ;
   schema:url <http://proquest.safaribooksonline.com/9781491912126> ;
   schema:url <http://www.totalboox.com/book/id-4677310050954797625> ;
   schema:workExample <http://worldcat.org/isbn/9781491912126> ;
   schema:workExample <http://worldcat.org/isbn/9781491912133> ;
   wdrs:describedby <http://www.worldcat.org/title/-/oclc/969044283> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/2586888606#Person/vanderplas_jake> # Jake VanderPlas
    a schema:Person ;
   schema:familyName "VanderPlas" ;
   schema:givenName "Jake" ;
   schema:name "Jake VanderPlas" ;
    .

<http://worldcat.org/isbn/9781491912126>
    a schema:ProductModel ;
   schema:isbn "149191212X" ;
   schema:isbn "9781491912126" ;
    .

<http://worldcat.org/isbn/9781491912133>
    a schema:ProductModel ;
   schema:isbn "1491912138" ;
   schema:isbn "9781491912133" ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.