Python Data Structures and Algorithms: Improve application performance with graphs, stacks, and queues - Softcover
Synopsis
Implement classic and functional data structures and algorithms using Python
Key Features
- A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures.
- Get a better understanding of advanced Python concepts such as big-o notation, dynamic programming, and functional data structures.
- Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner.
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.
What you will learn
- 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.
"synopsis" may belong to another edition of this title.
About the Author
Benjamin Baka is a full-stack software developer and is passionate about cutting-edge technologies and elegant programming techniques. He has 10 years in different technologies, from C++, Java, Ruby, Python to Qt. Some of the projects he's working on can be found on his GitHub page. He is currently working on exciting technologies all from the camp of mPedigree Network.
"About this title" may belong to another edition of this title.
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Python Data Structures and Algorithms: Improve application performance with graphs, stacks, and queues
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ISBN 13: 9781786467355
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Paperback. Condition: new. Paperback. Implement classic and functional data structures and algorithms using Python Key Features A step by step guide, which will provide you with a thorough discussion on the analysis and design of fundamental Python data structures. Get a better understanding of advanced Python concepts such as big-o notation, dynamic programming, and functional data structures. Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. 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. What you will learn 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781786467355
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