000			01895nam a22002417a 4500
003			NUBALIWAG
005			20250117081002.0
008			250117b ph ||||| |||| 00| 0 eng d
020			_a9781680507225
040			_cNUBLRC
050			_aQA 76.9.D35 .W46 2020 c.1
100			_aWengrow, Jay. _eAuthor
245			_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 Book, _cc2020.
300			_axviii, 483 pages : _billustrations ; _c24 cm.
365			_bUSD 45.00
504			_aIncludes index.
505			_aPart 1. Why data structure matter.--Part 2. Why algorithms matter.--Part 3. O yes! Big o notation.--Part 4. Speeding up your code with big o.--Part 5. Optimizing code with and without big o.--Part 6. Optimizing for optimistic scenario.--Part 7. Big O in everyday.--Part 8. Blazing fast lookup with hash tables.--Part 9. Crafting elegant code with stacks and queues.--Part 10. Reecursiveley recurse with recursion.--Part 11. Learning to write in recursive.--Part 12. Dynamic programming.--Part 13. Recursive algorithms for speed.--Part 14. Node-based data structures.--Part 15. Speeding up all the things with binary search trees.--Part 16. Keeping your priorities straight with heaps.--Part 17. It doesn't hurt to tries.--Part 18. Connecting everything with graphs.--Part 19. Dealing with space constraints.--Part 20. 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			_aDATA STRUCTURES.
942			_2lcc _cBK _n0
999			_c6886 _d6886