000 | 01660nam a2200193 4500 | ||
---|---|---|---|
008 | 240401b ||||| |||| 00| 0 eng d | ||
020 | _a9798888650356 (pbk) | ||
082 |
_a005.73 _bWEN |
||
100 |
_aWengrow, Jay _910953 |
||
245 |
_aA common-sense guide to data structures and algorithms in python : _blevel up your core programming skills |
||
260 |
_aDallas _bPragmatic Bookshelf _c2023 |
||
300 | _axx, 475p. | ||
500 | _ahttps://pragprog.com/titles/jwpython/a-common-sense-guide-to-data-structures-and-algorithms-in-python-volume-1/ | ||
520 | _a"If you thought data structures and algorithms were all just theory, you’re missing out on what they can do for your Python 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. Every chapter features practice exercises to give you the hands-on information you need to master data structures and algorithms for your day-to-day work. This new edition uses Python exclusively as its language for all code implementations, in both the main text as well as the exercises and solutions. Python has its own unique set of capabilities and constraints, so all the algorithms have been optimized for use in Python. Additionally, all Python code now follows the PEP 8 style guide and Python 3 (in addition to Python 2)." | ||
650 |
_aData Structures _94942 |
||
650 |
_aAlgorithms _91133 |
||
650 |
_aPython _92586 |
||
942 | _cBK | ||
999 |
_c10189 _d10189 |