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عنوان
Data science with Python and Dask /

پدید آورنده
Jesse C. Daniel.

موضوع
Data mining.,Electronic data processing-- Distributed processing.,Information visualization.,Python (Computer program language),Data mining.,Electronic data processing-- Distributed processing.,Information visualization.,Python (Computer program language)

رده
QA76
.
73
.
P98

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
1617295604
(Number (ISBN
9781617295607

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Data science with Python and Dask /
General Material Designation
[Book]
First Statement of Responsibility
Jesse C. Daniel.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Shelter Island, NY :
Name of Publisher, Distributor, etc.
Manning Publications,
Date of Publication, Distribution, etc.
[2019]
Date of Publication, Distribution, etc.
©2019

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource :
Other Physical Details
illustrations

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
Part 1. The building blocks of scalable computing. Why scalable computing matters -- Introducing Dask -- Part 2. Working with structured data using Dask DataFrames. Introducing Dask DataFrames -- Loading data into DataFrames -- Cleaning and transforming DataFrames -- Summarizing and analyzing DataFrames -- Visualizing DataFrames with Seaborn -- Visualizing location data with Datashader -- Part 3. Extending and deploying Dask. Working with bags and arrays -- Machine learning with Dask-ML -- Scaling and deploying Dask.
0

SUMMARY OR ABSTRACT

Text of Note
Data Science with Python and Dask teaches you to build scalable projects that can handle massive datasets. After meeting the Dask framework, you'll analyze data in the NYC Parking Ticket database and use DataFrames to streamline your process. Then, you'll create machine learning models using Dask-ML, build interactive visualizations, and build clusters using AWS and Docker.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Safari Books Online
Stock Number
CL0501000064

TOPICAL NAME USED AS SUBJECT

Data mining.
Electronic data processing-- Distributed processing.
Information visualization.
Python (Computer program language)
Data mining.
Electronic data processing-- Distributed processing.
Information visualization.
Python (Computer program language)

DEWEY DECIMAL CLASSIFICATION

Number
004
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA76
.
73
.
P98

PERSONAL NAME - PRIMARY RESPONSIBILITY

Daniel, Jesse C.

ORIGINATING SOURCE

Date of Transaction
20200823050603.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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