000			03413cam a2200469 i 4500
001			23566381
003			KeNaZET
005			20240821070747.0
008			240220s2020 ncua 001 0 eng
010			_a 2021304314
015			_aGBC064464 _2bnb
016	7		_a019805663 _2Uk
020			_a9781680507225 _q(paperback)
035			_a(OCoLC)on1180229562
040			_aUKMGB _beng _erda _cUKMGB _dOCLCO _dOCLCF _dJRZ _dOCLCO _dYDX _dNDD _dVFL _dHF9 _dUKMGB _dOCLCO _dOCLCL _dDLC
042			_alccopycat
050	0	0	_aQA76.9.D35 _b.W46 2020
082	0	0	_a005.7/3 _223/eng/20240229
100	1		_aWengrow, Jay, _eauthor. _93493
245	1	2	_aA common-sense guide to data structures and algorithms : _blevel up your core programming skills / _cJay Wengrow.
250			_aSecond edition.
260			_aNorth Carolina : _bPragmatic Bookshelf ; _cc2020.
300			_axviii, 481 pages : _billustrations ; _c24 cm.
490	0		_aThe pragmatic programmers
500			_aPrevious edition: 2017.
500			_aIncludes index.
504			_aIncludes bibliographical references and index.
505	0		_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. -- Provided by publisher.
520			_aIf 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.
650		0	_aData structures (Computer science) _91589
650		0	_aComputer algorithms. _93335
650		2	_aAlgorithms _93369
650		6	_aStructures de données (Informatique) _93494
650		6	_aAlgorithmes. _93495
650		7	_aalgorithms. _2aat _93369
650		7	_aComputer algorithms. _2fast _93335
650		7	_aData structures (Computer science) _2fast _91589
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2lcc _cBK _kQA76.9.D35 _m.W46 2020
999			_c6114 _d6114