Python Algorithms: Mastering Basic Algorithms in the Python Language

Python Algorithms 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...

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, 2010.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02373nam a22003975i 4500
001 978-1-4302-3238-4
003 DE-He213
005 20140918025954.0
007 cr nn 008mamaa
008 110227s2010 xxu| s |||| 0|eng d
020 |a 9781430232384  |9 978-1-4302-3238-4 
024 7 |a 10.1007/978-1-4302-3238-4  |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: Mastering Basic Algorithms in the Python Language  |h [electronic resource] /  |c by Magnus Lie Hetland. 
264 1 |a Berkeley, CA :  |b Apress,  |c 2010. 
300 |a XVI, 336 p.  |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 
505 0 |a The Basics -- Counting 101 -- Induction and Recursion… and Reduction -- Traversal: The Skeleton Key of Algorithmics -- Divide, Combine, and Conquer -- Greed Is Good? Prove It! -- Tangled Dependencies and Memoization -- From A to B with Edsger and Friends -- Matchings, Cuts, and Flows -- Hard Problems and (Limited) Sloppiness. 
520 |a Python Algorithms 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, but in a highly pedagogic and readable manner. The book 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 himself. 
650 0 |a Computer science. 
650 1 4 |a Computer Science. 
650 2 4 |a Computer Science, general. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781430232377 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4302-3238-4  |z Full Text via HEAL-Link 
912 |a ZDB-2-CWD 
950 |a Professional and Applied Computing (Springer-12059)