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|a 9781484200551
|9 978-1-4842-0055-1
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|a 005.133
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|a Hetland, Magnus Lie.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Python Algorithms
|h [electronic resource] :
|b Mastering Basic Algorithms in the Python Language /
|c by Magnus Lie Hetland.
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|a 2nd ed. 2014.
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|a Berkeley, CA :
|b Apress :
|b Imprint: Apress,
|c 2014.
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|a XVI, 320 p. 76 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others.
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|a Python (Computer program language).
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|a Software engineering.
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|a Computer software.
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|a Python.
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|a Software Engineering.
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|a Mathematical Software.
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710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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776 |
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|i Printed edition:
|z 9781484200568
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|i Printed edition:
|z 9781484200575
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|u https://doi.uam.elogim.com/10.1007/978-1-4842-0055-1
|z Texto Completo
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912 |
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|a ZDB-2-CWD
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912 |
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|a ZDB-2-SXPC
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|a Professional and Applied Computing (SpringerNature-12059)
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|a Professional and Applied Computing (R0) (SpringerNature-43716)
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