TY  - BOOK
AU  - Wengrow,Jay
TI  - A common-sense guide to data structures and algorithms: level up your core programming skills 
T2  - The pragmatic programmers
SN  - 9781680507225
AV  - QA76.9.D35 .W46 2020
U1  - 005.7/3 23/eng/20240229
PY  - 2020///
CY  - North Carolina
PB  - Pragmatic Bookshelf
KW  - Data structures (Computer science)
KW  - Computer algorithms
KW  - Algorithms
KW  - Structures de données (Informatique)
KW  - Algorithmes
KW  - algorithms
KW  - aat
KW  - fast
N1  - Previous edition: 2017; Includes index; Includes bibliographical references and 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 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
N2  - 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. -- Provided by publisher; If you thought that data structures and algorithms were all just theory, you're missing out on what they can do for your code. Learn to use Big O notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your code's efficiency exponentially. With simple language and clear diagrams, this book makes this complex topic accessible, no matter your background. This new edition features practice exercises in every chapter, and new chapters on topics such as dynamic programming and heaps and tries. Get the hands-on info you need to master data structures and algorithms for your day-to-day work. -- Provided by publisher
ER  -