A Common-sense guide to data structures and algorithms : level up your core programming skills / Jay Wengrow
Material type:
TextPublication details: Raleigh, North Carolina : The Pragmatic Bookshelf, c2020Edition: Second EditionDescription: xviii, 481 pages : illustrations ; 24 cmISBN: - 9781680507225
- QA 76.9.D35 .W46 2020
Books
| Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|---|
|
Books
|
National University - Manila | LRC - Main General Circulation | Digital Forensic | GC QA 76.9.D35 .W46 2020 c.1 (Browse shelf(Opens below)) | c.1 | Available | NULIB000019590 |
Browsing LRC - Main shelves, Shelving location: General Circulation, Collection: Digital Forensic Close shelf browser (Hides shelf browser)
| No cover image available | No cover image available |
|
|
|
|
|
||
| GC QA 76.9.D3 .I54 [?] c.2 CS 219 : information management, study guide. | GC QA 76.9.D3 .I54 [?] c.3 CS 219 : information management, study guide. | GC QA 76.9.D35 .K83 2022 Data structures the fun way : an amusing adventure with coffee-filled examples / | GC QA 76.9.D35 .W46 2020 c.1 A Common-sense guide to data structures and algorithms : level up your core programming skills / | GC QA 76.9.D35 .W46 2020 c.2 A Common-sense guide to data structures and algorithms : level up your core programming skills / | GC QA 76.9.E94 .G74 2021 Systems performance : enterprise and the cloud / | GC QA 76.9.H85 .B43 2020 Learn human-computer interaction : solve human problems and focus on rapid prototyping and validating solutions through user testing / |
Includes bibliographical references.
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 everyday 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 with binary search trees -- Keeping your priorities straight with heaps -- It doesn't hurt to trie -- Connecting everything with graphs -- Dealing with space constraints -- Techniques for code optimization.
Take a practical approach to data structures and algorithms, using techniques and real-world scenarios in JavaScript, Python, and Ruby that you can put into production right away. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work.
There are no comments on this title.