Python Algorithms Mastering Basic Algorithms in the Python Language /

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 techniq...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Hetland, Magnus Lie (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2014.
Έκδοση:Second Edition.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02141nam a22004215i 4500
001 978-1-4842-0055-1
003 DE-He213
005 20140918021838.0
007 cr nn 008mamaa
008 140917s2014 xxu| s |||| 0|eng d
020 |a 9781484200551  |9 978-1-4842-0055-1 
024 7 |a 10.1007/978-1-4842-0055-1  |2 doi 
040 |d GrThAP 
050 4 |a QA75.5-76.95 
072 7 |a UY  |2 bicssc 
072 7 |a COM014000  |2 bisacsh 
082 0 4 |a 004  |2 23 
100 1 |a Hetland, Magnus Lie.  |e author. 
245 1 0 |a Python Algorithms  |h [electronic resource] :  |b Mastering Basic Algorithms in the Python Language /  |c by Magnus Lie Hetland. 
250 |a Second Edition. 
264 1 |a Berkeley, CA :  |b Apress :  |b Imprint: Apress,  |c 2014. 
300 |a XVI, 320 p. 76 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
520 |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. 
650 0 |a Computer science. 
650 0 |a Computer software. 
650 1 4 |a Computer Science. 
650 2 4 |a Computer Science, general. 
650 2 4 |a Mathematical Software. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781484200568 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4842-0055-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-CWD 
950 |a Professional and Applied Computing (Springer-12059)