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[NT 33762] ISBD
Exercises in programming style
[NT 42944] Record Type:
[NT 1579] Language materials, printed : [NT 40817] monographic
[NT 47261] Author:
LopesCristina Videira,
[NT 47351] Place of Publication:
Boca Raton
[NT 47263] Published:
CRC Press;
[NT 47352] Year of Publication:
2020
[NT 50960] Edition:
2nd ed.
[NT 47264] Description:
xxiii, 336 p.ill. : 24 cm.;
[NT 47266] Subject:
Computer programming. -
[NT 51398] Summary:
"Using a simple computational task (term frequency) to illustrate different programming styles, this book helps readers understand the various ways of writing programs and designing systems. It is designed to be used in conjunction with code provided on an online repository. The book complements and explains the raw code in a way that is accessible to anyone who regularly practices the art of programming. The first edition was honored as an ACM Notable Book and praised as "The best programming book of the decade." This new edition retains the same presentation but has been upgraded to Python 3, and there is a new section on neural network styles"--Provided by publisher
[NT 50961] ISBN:
978-0-367-36020-7bound
Exercises in programming style
Lopes, Cristina Videira
Exercises in programming style
/ Cristina Videira Lopes - 2nd ed.. - Boca Raton : CRC Press, 2020. - xxiii, 336 p. ; ill. ; 24 cm..
Includes bibliographical references and index..
ISBN 978-0-367-36020-7
Computer programming.
Exercises in programming style
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"Using a simple computational task (term frequency) to illustrate different programming styles, this book helps readers understand the various ways of writing programs and designing systems. It is designed to be used in conjunction with code provided on an online repository. The book complements and explains the raw code in a way that is accessible to anyone who regularly practices the art of programming. The first edition was honored as an ACM Notable Book and praised as "The best programming book of the decade." This new edition retains the same presentation but has been upgraded to Python 3, and there is a new section on neural network styles"--Provided by publisher
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