Gain a solid understanding of Python data structures.
Build sophisticated data applications.
Understand the common programming patterns and algorithms used in Python data science.
Write efficient robust code.

Book Description

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.

Authors

Benjamin Baka

Benjamin Baka works as a software developer and has over 10 years, experience in programming. He is a graduate of Kwame Nkrumah University of Science and Technology and a member of the Linux Accra User Group. Notable in his language toolset are C, C++, Java, Python, and Ruby. He has a huge interest in algorithms and finds them a good intellectual exercise.

He is a technology strategist and software engineer at mPedigree Network, weaving together a dizzying array of technologies in combating counterfeiting activities, empowering consumers in Ghana, Nigeria, and Kenya to name a few.

In his spare time, he enjoys playing the bass guitar and listening to silence. You can find him on his blog.

Chapter 1: Python Objects, Types, and Expressions

Chapter 2: Python Data Types and Structures

Chapter 3: Principles of Algorithm Design

Chapter 4: Lists and Pointer Structures

Chapter 5: Stacks and Queues

Chapter 6: Trees

Chapter 7: Hashing and Symbol Tables

Chapter 8: Graphs and Other Algorithms

Chapter 9: Searching

Chapter 10: Sorting

Chapter 11: Selection Algorithms

Chapter 12: Design Techniques and Strategies

Chapter 13: Implementations, Applications, and Tools

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