000			03097cam a2200289zu 4500
001			88865370
003			FRCYB88865370
005			20250107231358.0
006			m o d
007			cr un
008			250108s2018 fr | o|||||0|0|||eng d
020			_a9781788995573
035			_aFRCYB88865370
040			_aFR-PaCSA _ben _c _erda
100	1		_aAgarwal, Dr. Basant
245	0	1	_aHands-On Data Structures and Algorithms with Python _c['Agarwal, Dr. Basant', 'Baka, Benjamin']
264		1	_bPackt Publishing _c2018
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aAgarwal, Dr. Basant
700	0		_aBaka, Benjamin
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88865370 _qtext/html _a
520			_aLearn to implement complex data structures and algorithms using Python Key Features Understand the analysis and design of fundamental Python data structures Explore advanced Python concepts such as Big O notation and dynamic programming Learn functional and reactive implementations of traditional data structures Book Description Data structures allow you to store and organize data efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. Hands-On Data Structures and Algorithms with Python teaches you the essential Python data structures and the most common algorithms for building easy and maintainable applications. This book helps you to understand the power of linked lists, double linked lists, and circular linked lists. You will learn to create complex data structures, such as graphs, stacks, and queues. As you make your way through the chapters, you will explore the application of binary searches and binary search trees, along with learning common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. In the concluding chapters, you will get to grips with organizing your code in a manageable, consistent, and extendable way. You will also study how to bubble sort, selection sort, insertion sort, and merge sort algorithms in detail. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. You will get insights into Python implementation of all the important and relevant algorithms. What you will learn Understand object representation, attribute binding, and data encapsulation Gain a solid understanding of Python data structures using algorithms Study algorithms using examples with pictorial representation Learn complex algorithms through easy explanation, implementing Python Build sophisticated and efficient data applications in Python Understand common programming algorithms used in Python data science Write efficient and robust code in Python 3.7 Who this book is for This book is for developers who want to learn data structures and algorithms in Python to write complex and flexible programs. Basic Python programming knowledge is expected.
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