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Python Algorithms: Mastering Basic Algorithms in the Python Language [electronic resource] / by Magnus Lie Hetland.

By: Hetland, Magnus Lie [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Berkeley, CA : Apress, 2010Description: XVI, 336 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781430232384.Subject(s): Computer science | Computer Science | Computer Science, generalDDC classification: 004 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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.
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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.

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.

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