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A Common-Sense guide to Data Structures and Algorithms : level up your core programming skills / Jay Wengrow ; edited by Brian MacDonald

By: Wengrow, Jay [autor].
Contributor(s): MacDonald, Brian [editor].
Series: The Pragmatic Programmers: Raleigh, North Carolina : The Pragmatic Programmers, 2020Edition: Second Edition.Description: xiv, 481 pages : illustrations ; 23 cm.Content type: texto Media type: no mediado Carrier type: volumenISBN: 9781680507225.Subject(s): Algorithms | Algoritmos | Computer algorithms | Algoritmos informáticos | Data structures (Computer science) | Estructura de datos (Computadores)DDC classification: 005.7 /
Contents:
Why data structures matter -- Why algorithms matter -- O yes! big o notation -- Speeding up your code with big O -- Optimizing code with and without big O -- Optimizing for optimistic scenarios -- Big O in everday code -- Blazing fast lookup with hash tables -- Crafting elegant code with stacks and queues -- Recursively recurse with recursion -- Learning to write in recursive -- Dynamic programming -- Recursive algorithms for speed -- Node-Based data structures -- Speeding up all the things whit bynary search trees -- Keeping your priorities straigh with heaps -- It doesn´t hurt to trie -- Connecting everything with graphs -- Dealing with space constraints -- Techniques for code optimization -- Excerse solutions --
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Item type Current location Collection Call number Copy number Status Notes Date due Barcode Item holds
Libros Libros Biblioteca Central
General 005.7 / W474a (Browse shelf) Ej. 1 Available 900000025694
Libros Libros Biblioteca Central
General 005.7 / W474a (Browse shelf) Ej. 2 Available CO 900000026744
Libros Libros Biblioteca Central
General 005.7 / W474a (Browse shelf) Ej. 3 Available CO 900000026745
Total holds: 0

Incluid index

Why data structures matter -- Why algorithms matter -- O yes! big o notation -- Speeding up your code with big O -- Optimizing code with and without big O -- Optimizing for optimistic scenarios -- Big O in everday code -- Blazing fast lookup with hash tables -- Crafting elegant code with stacks and queues -- Recursively recurse with recursion -- Learning to write in recursive -- Dynamic programming -- Recursive algorithms for speed -- Node-Based data structures -- Speeding up all the things whit bynary search trees -- Keeping your priorities straigh with heaps -- It doesn´t hurt to trie -- Connecting everything with graphs -- Dealing with space constraints -- Techniques for code optimization -- Excerse solutions --

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