Book Image

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

By : Dr. Basant Agarwal, Benjamin Baka
Book Image

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

By: Dr. Basant Agarwal, Benjamin Baka

Overview of this book

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.
Table of Contents (16 chapters)

To get the most out of this book

  1. The code in the book will require you to run on Python 3.7 or higher.
  2. The Python interactive environment can also be used to run the code snippets.
  3. Readers are advised to learn the algorithms and concepts by executing the codes provided in the book that are designed to facilitate understanding of the algorithms.
  4. The book aims to give readers practical exposure, so it is recommended that you carry out programming for all the algorithms in order to get the maximum out of this book.

Download the example code files

You can download the example code files for this book from your account at www.packt.com. If you purchased this book elsewhere, you can visit www.packt.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

  1. Log in or register at www.packt.com.
  2. Select the SUPPORT tab.
  3. Click on Code Downloads & Errata.
  4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

  • WinRAR/7-Zip for Windows
  • Zipeg/iZip/UnRarX for Mac
  • 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Hands-On-Data-Structures-and-Algorithms-with-Python-Second-Edition. In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Download the color images

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: https://www.packtpub.com/sites/default/files/downloads/9781788995573_ColorImages.pdf

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "We instantiate the CountVectorizer class and pass training_data.data to the fit_transform method of the count_vect object."

A block of code is set as follows:

class Node: 
def __init__(self, data=None):
self.data = data
self.next = None

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

def dequeue(self):  
if not self.outbound_stack:
while self.inbound_stack:
self.outbound_stack.append(self.inbound_stack.pop())
return self.outbound_stack.pop()

Any command-line input or output is written as follows:

0     1      2
0 4.0 45.0 984.0
1 0.1 0.1 5.0
2 94.0 23.0 55.0

Bold: Indicates a new term, an important word, or words that you see on screen.

Warnings or important notes appear like this.
Tips and tricks appear like this.