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Foundations of data science with Python /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Foundations of data science with Python /John M. Shea.
Author:	Shea, John M.
Published:	Boca Raton :CRC Press,2024.
Description:	xiv, 488 p. :col. ill. ;26 cm.
Subject:	Python (Computer program language)
ISBN:	9781032350424 (pbk.) :

Foundations of data science with Python /
Shea, John M.(Professor of electrical engineering),

Foundations of data science with Python /John M. Shea. - 1st ed. - Boca Raton :CRC Press,2024. - xiv, 488 p. :col. ill. ;26 cm. - Chapman & Hall/CRC the Python series. - Chapman & Hall/CRC the Python series..

Includes bibliographical references and index.

First simulations, visualizations, and statistical tests -- First visualizations and statistical tests with real data -- Introduction to probability -- Null hypothesis tests -- Conditional probability, dependence, and independence -- Introduction to Bayesian methods -- Random variables -- Expected value, parameter estimation, and hypothesis tests on sample means -- Decision-making with observations from continuous distributions -- Categorical data, tests for dependence, and goodness of fit for discrete distributions -- Multidimensional data : vector moments and linear regression -- Working with dependent data in multiple dimensions.

ISBN: 9781032350424 (pbk.) :NT$2773

LCCN: 2023037553Subjects--Topical Terms:

215247
Python (Computer program language)

LC Class. No.: QA276.4 / .S454 2024

Dewey Class. No.: 519.50285/5133

Foundations of data science with Python /
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020 $a 9781032350424 (pbk.) : $c NT$2773
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020 $a 1032350423 (pbk.)
020 $z 9781003324997 (ebook)
020 $z 9781003838562 (ePub)
020 $z 9781003838548 (PDF)
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050 0 0 $a QA276.4 $b .S454 2024
082 0 0 $a 519.50285/5133 $2 23
100 1 $a Shea, John M. $c (Professor of electrical engineering), $e author. $3 989945
245 1 0 $a Foundations of data science with Python / $c John M. Shea.
250 $a 1st ed.
260 $a Boca Raton : $b CRC Press, $c 2024.
300 $a xiv, 488 p. : $b col. ill. ; $c 26 cm.
490 1 $a Chapman & Hall/CRC the Python series
504 $a Includes bibliographical references and index.
505 0 $a First simulations, visualizations, and statistical tests -- First visualizations and statistical tests with real data -- Introduction to probability -- Null hypothesis tests -- Conditional probability, dependence, and independence -- Introduction to Bayesian methods -- Random variables -- Expected value, parameter estimation, and hypothesis tests on sample means -- Decision-making with observations from continuous distributions -- Categorical data, tests for dependence, and goodness of fit for discrete distributions -- Multidimensional data : vector moments and linear regression -- Working with dependent data in multiple dimensions.
650 0 $a Python (Computer program language) $3 215247
650 0 $a Information visualization. $3 248886
650 0 $a Statistics $x Data processing. $3 183693
650 0 $a Probabilities $x Data processing. $3 199028
776 0 8 $i Electronic version: $a Shea, John M. (Professor of electrical engineering). $t Foundations of data science with Python. $b First edition. $d Boca Raton, FL : CRC Press, 2024 $z 9781003324997 $w (DLC) 2023037554 $w (OCoLC)1419681229
830 0 $a Chapman & Hall/CRC the Python series. $3 989946