Book Image

Getting Started with Python

By : Fabrizio Romano, Benjamin Baka, Dusty Phillips
Book Image

Getting Started with Python

By: Fabrizio Romano, Benjamin Baka, Dusty Phillips

Overview of this book

This Learning Path helps you get comfortable with the world of Python. It starts with a thorough and practical introduction to Python. You’ll quickly start writing programs, building websites, and working with data by harnessing Python's renowned data science libraries. With the power of linked lists, binary searches, and sorting algorithms, you'll easily create complex data structures, such as graphs, stacks, and queues. After understanding cooperative inheritance, you'll expertly raise, handle, and manipulate exceptions. You will effortlessly integrate the object-oriented and not-so-object-oriented aspects of Python, and create maintainable applications using higher level design patterns. Once you’ve covered core topics, you’ll understand the joy of unit testing and just how easy it is to create unit tests. By the end of this Learning Path, you will have built components that are easy to understand, debug, and can be used across different applications. This Learning Path includes content from the following Packt products: • Learn Python Programming - Second Edition by Fabrizio Romano • Python Data Structures and Algorithms by Benjamin Baka • Python 3 Object-Oriented Programming by Dusty Phillips
Table of Contents (31 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
8
Stacks and Queues
10
Hashing and Symbol Tables
Index

Bubble sort


The idea behind a bubble sort algorithm is very simple. Given an unordered list, we compare adjacent elements in the list, each time, putting in the right order of magnitude, only two elements. The algorithm hinges on a swap procedure.

Take a list with only two elements:

To sort this list, simply swap them into the right position with 2 occupying index 0 and 5 occupying index 1. To effectively swap these elements, we need to have a temporary storage area:

Implementation of the bubble sort algorithm starts with the swap method, illustrated in the preceding image. First, element 5 will be copied to a temporary location, temp. Then element 2 will be moved to index 0. Finally, 5 will be moved from temp to index 1. At the end of it all, the elements will have been swapped. The list will now contain the element: [2, 5]. The following code will swap the elements of unordered_list[j] with unordered_list[j+1] if they are not in the right order:

    temp = unordered_list[j] 
    unordered_list...