Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7,2nd Edition
Authors: Dr. Basant Agarwal – Benjamin Baka
ISBN-10: 1788995570
ISBN-13: 9781788995573
Publication Date 出版日期: 2018-10-31
Print Length 页数: 398 pages
Book Description
By finelybook
Learn to implement complex data structures and algorithms using Python
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
contents
1 Python Objects,Types,and Expressions
2 Python Data Types and Structures
3 Principles of Algorithm Design
4 Lists and Pointer Structures
5 Stacks and Queues
6 Trees
7 Hashing and Symbol Tables
8 Graphs and Other Algorithms
9 Searching
10 Sorting
11 Selection Algorithms
12 String Algorithms and Techniques
13 Design Techniques and Strategies
14 Implementations,Applications,and Tools
