000 | 01767nam a2200241Ia 4500 | ||
---|---|---|---|
003 | NULRC | ||
005 | 20250520103030.0 | ||
008 | 250520s9999 xx 000 0 und d | ||
020 | _a9781680507225 | ||
040 | _cNULRC | ||
050 | _aQA 76.9.D35 .W46 2020 | ||
100 |
_aWengrow, Jay _eauthor |
||
245 | 2 |
_aA Common-sense guide to data structures and algorithms : _blevel up your core programming skills / _cJay Wengrow |
|
250 | _aSecond Edition. | ||
260 |
_aRaleigh, North Carolina : _bThe Pragmatic Bookshelf, _cc2020 |
||
300 |
_axviii, 481 pages : _billustrations ; _c24 cm. |
||
365 | _bUSD31 | ||
504 | _aIncludes bibliographical references. | ||
505 | _aWhy 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. | ||
520 | _aTake 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. | ||
650 | _aALGORITHMS | ||
942 |
_2lcc _cBK |
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999 |
_c21845 _d21845 |