Grokking algorithms : an illustrated guide for programmers and other curious people / Aditya Y. Bhargava.

By:

Bhargava, Aditya Y [author.]

Material type: Text

TextPublisher: Shelter Island : Manning, [2016]Description: xviii, 238 pages : illustrations ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781617292231 (pbk.)
1617292230 (pbk.)

Subject(s):

DDC classification:

Summary: "Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python."--Publisher's desription.

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Notes	Date due	Barcode
BOOK	Ashok Goel Library, Rishihood University General stacks	Newton School of Technology	004 BHA (Browse shelf(Opens below))	1	Available	Recommended by NST		RU00008092

Browsing Ashok Goel Library, Rishihood University shelves, Shelving location: General stacks, Collection: Newton School of Technology Close shelf browser (Hides shelf browser)

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	003.54 MAC Information Theory, Inference, and Learning Algorithms	003.54 MAC Information Theory, Inference, and Learning Algorithms	004 BHA Grokking algorithms : an illustrated guide for programmers and other curious people /	004 BRY Computer systems : a programmer's perspective	004 BRY Computer systems : a programmer's perspective	004 FIL Computer Science Distilled: Learn The Art of Solving Computational Problems	Next

Includes index.

Minimal Level Cataloging Plus. DLC

"Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python."--Publisher's desription.

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