Python data structures and algorithms : improve the performance and speed of your applications (Record no. 31287)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220916b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781786467355
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Item number BAK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Baka, Benjamin
245 ## - TITLE STATEMENT
Title Python data structures and algorithms : improve the performance and speed of your applications
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Packt Publishing,
Date of publication, distribution, etc 2017
Place of publication, distribution, etc Birmingham :
300 ## - PHYSICAL DESCRIPTION
Extent 292 p. ;
Other physical details ill.,
Dimensions 25 cm
365 ## - TRADE PRICE
Price amount 3199.00
Price type code INR
Unit of pricing 1
520 ## - SUMMARY, ETC.
Summary, etc Implement classic and functional data structures and algorithms using Python About This Book A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures. Get a better understanding of advanced Python concepts such as big-o notation, dynamic programming, and functional data structures. Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Who This Book Is For The book will appeal to Python developers. A basic knowledge of Python is expected. What You Will Learn Gain a solid understanding of Python data structures. Build sophisticated data applications. Understand the common programming patterns and algorithms used in Python data science. Write efficient robust code. In Detail Data structures allow you to organize data in a particular way efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. In this book, you will learn the essential Python data structures and the most common algorithms. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. You will be able to create complex data structures such as graphs, stacks and queues. We will explore the application of binary searches and binary search trees. You will learn the common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. We will also discuss how to organize your code in a manageable, consistent, and extendable way. The book will explore in detail sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. By the end of the book, you will learn how to build components that are easy to understand, debug, and use in different applications. Style and Approach The easy-to-read book with its fast-paced nature will improve the productivity of Python programmers and improve the performance of Python applications. Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the code file.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Application software Development
Topical term or geographic name as entry element Programming Languages
Topical term or geographic name as entry element Electronic books
Topical term or geographic name as entry element Langage de programmation
Topical term or geographic name as entry element Array module
Topical term or geographic name as entry element Binary search tree
Topical term or geographic name as entry element Bubble sort
Topical term or geographic name as entry element Built-in data types
Topical term or geographic name as entry element Data visualizazation
Topical term or geographic name as entry element Doubly linked list
Topical term or geographic name as entry element Greedy algorithms
Topical term or geographic name as entry element Hash table
Topical term or geographic name as entry element Interpolation search
Topical term or geographic name as entry element Karatsuba algorithm
Topical term or geographic name as entry element Merge sort algorithm
Topical term or geographic name as entry element NumPy
Topical term or geographic name as entry element Pointer structures
Topical term or geographic name as entry element Quick sort
Topical term or geographic name as entry element Recursive functions
Topical term or geographic name as entry element Tuple
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last borrowed Koha item type
          DAIICT DAIICT 2022-09-16 3199.00 3 005.133 BAK 033320 2023-07-24 2023-05-17 Books

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