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Python Data Structures and Algorithms

Python Data Structures and Algorithms

By : Benjamin Baka
2.7 (11)
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Python Data Structures and Algorithms

Python Data Structures and Algorithms

2.7 (11)
By: Benjamin Baka

Overview of this book

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.
Table of Contents (14 chapters)
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5
Stacks and Queues
7
Hashing and Symbol Tables

Design Techniques and Strategies

In this chapter, we will take a step back and look into the broader topics in computer algorithm design. As your experience with programming grows, certain patterns begin to become apparent to you. And just like with any other skilled trade, you cannot do without some techniques and principles to achieve the means. In the world of algorithms, there are a plethora of these techniques and design principles. A working knowledge and mastery of these techniques is required to tackle harder problems in the field.

We will look at the ways in which algorithms are generally classified. Other design techniques will be treated alongside implementation of some of the algorithms.

The aim of this chapter is not to make you a pro at algorithm design and strategy but to unveil the large expanse of algorithms in a few pages.

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