000			01482nam a22002537a 4500
005			20260408112250.0
008			260408m20242015|||||||| |||| 00| 0 eng d
020			_a9783031422089
040			_cPK-LaUMT
082			_a005.73 _bLEE-D
100	1		_aLee, Kent D. _910692
245	1	0	_aData structures and algorithms with Python : _bwith an introduction to multiprocessing / _cby Kent D. Lee and Steve Hubbard
250			_a2nd ed.
260			_aCham : _bSpringer, _c2024
300			_axvi, 398 p.
490			_aUndergraduate topics in computer science
500			_aIndex present
520			_aThis textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms -- supported by motivating examples -- that bring meaning to the problems faced by computer programmers. The idea of computational complexity is introduced, demonstrating what can and cannot be computed efficiently at scale, helping programmers make informed judgements about the algorithms they use. The easy-to-read text assumes some basic experience in computer programming and familiarity in an object-oriented language, but not necessarily with Python. Topics and features.
546			_aEng
650			_aPython (Computer program language) _93584
650			_aData structures (Computer science) _93597
700	1		_aHubbard, Steve _910693
942			_cBK
999			_c140425 _d140425