Book Image

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

By : Dr. Basant Agarwal
Book Image

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

By: Dr. Basant Agarwal

Overview of this book

Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You’ll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer. By the end of this Python book, you’ll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.
Table of Contents (17 chapters)
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In this chapter, we have discussed different built-in data types supported by Python. We have also looked at a few basic Python functions, libraries, and modules, such as the collections module. The main objective of this chapter was to give an overview of Python and make a user acquainted with the language so that it is easy to implement the advanced algorithms of data structures.

Overall, this chapter has provided an overview of several data structures available in Python that are pivotal for understanding the internals of data structures. In the next chapter, we will introduce the basic concepts of algorithm design and analysis.

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