Book Image

Python Data Structures and Algorithms

By : Benjamin Baka
Book Image

Python Data Structures and Algorithms

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 (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
5
Stacks and Queues
7
Hashing and Symbol Tables

Tools of the trade


In order to proceed with this chapter, you will need to install the following packages. These packages will be used to preprocess and visually represent the data being processed. Some of the packages also contain well-written and perfected algorithms that will operate on our data.

Preferably, these modules should be installed within a virtual environment such as pip:

% pip install numpy
% pip install scikit-learn
% pip install matplotlib
% pip install pandas
% pip install textblob

These packages may require other platform-specific modules to be installed first. Take note and install all dependencies:

  • Numpy: A library with functions to operate on n-dimensional arrays and matrices.
  • Scikit-learn: A highly advanced module for machine learning. It contains a good number of algorithms for classification, regression, and clustering, among others.
  • Matplotlib: This is a plotting library that makes use of NumPy to graph a good variety of charts, including line plots, histograms, scatter...