Book Image

Hands-On Data Structures and Algorithms with Python - Third Edition

By : Dr. Basant Agarwal
Book Image

Hands-On Data Structures and Algorithms with Python - Third Edition

By: Dr. Basant Agarwal

Overview of this book

Choosing 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.
Table of Contents (17 chapters)
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Resolving collisions

Each position in the hash table is often called a slot or bucket that can store an element. Each data item in the form of a (key, value) pair is stored in the hash table at a position that is decided by the hash value of the key. Let’s take an example in which firstly we use the hashing function that computes the hash value by summing up the ordinal values of all the characters. Then, we compute the final hash value (in other words, the index position) by computing the total ordinal values of module 256. Here, we use 256 slots/buckets as an example. We can use any number of slots depending upon how many records we require in the hash table. We show a sample hash in Figure 8.5, which has key strings corresponding to data values, for example, the eggs key string has the corresponding data value 123456789.

This hash table uses a hashing function that maps the input string hello world to a hash value of 92, which finds a slot position in the hash table...