000 02965cam a2200277zu 4500
001 88933240
003 FRCYB88933240
005 20250108000134.0
006 m o d
007 cr un
008 250108s2022 fr | o|||||0|0|||eng d
020 _a9781801073448
035 _aFRCYB88933240
040 _aFR-PaCSA
_ben
_c
_erda
100 1 _aAgarwal, Dr. Basant
245 0 1 _aHands-On Data Structures and Algorithms with Python
_bStore, manipulate, and access data effectively and boost the performance of your applications
_c['Agarwal, Dr. Basant']
264 1 _bPackt Publishing
_c2022
300 _a p.
336 _btxt
_2rdacontent
337 _bc
_2rdamdedia
338 _bc
_2rdacarrier
650 0 _a
700 0 _aAgarwal, Dr. Basant
856 4 0 _2Cyberlibris
_uhttps://international.scholarvox.com/netsen/book/88933240
_qtext/html
_a
520 _aUnderstand how implementing different data structures and algorithms intelligently can make your Python code and applications more maintainable and efficientKey FeaturesExplore functional and reactive implementations of traditional and advanced data structuresApply a diverse range of algorithms in your Python codeImplement the skills you have learned to maximize the performance of your applicationsBook DescriptionChoosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You'll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer. By the end of this Python book, you'll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.What you will learnUnderstand common data structures and algorithms using examples, diagrams, and exercisesExplore how more complex structures, such as priority queues and heaps, can benefit your codeImplement searching, sorting, and selection algorithms on number and string sequencesBecome confident with key string-matching algorithmsUnderstand algorithmic paradigms and apply dynamic programming techniquesUse asymptotic notation to analyze algorithm performance with regard to time and space complexitiesWrite powerful, robust code using the latest features of PythonWho this book is forThis book is for developers and programmers who are interested in learning about data structures and algorithms in Python to write complex, flexible programs. Basic Python programming knowledge is expected.
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