Hands On Data Structures And Algorithms With Python
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Hands-On Data Structures and Algorithms with Python
Author: Dr. Basant Agarwal
language: en
Publisher: Packt Publishing Ltd
Release Date: 2022-07-29
Understand how implementing different data structures and algorithms intelligently can make your Python code and applications more maintainable and efficient Key Features • Explore functional and reactive implementations of traditional and advanced data structures • Apply a diverse range of algorithms in your Python code • Implement the skills you have learned to maximize the performance of your applications Book Description 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. What you will learn • Understand common data structures and algorithms using examples, diagrams, and exercises • Explore how more complex structures, such as priority queues and heaps, can benefit your code • Implement searching, sorting, and selection algorithms on number and string sequences • Become confident with key string-matching algorithms • Understand algorithmic paradigms and apply dynamic programming techniques • Use asymptotic notation to analyze algorithm performance with regard to time and space complexities • Write powerful, robust code using the latest features of Python Who this book is for This book is for developers and programmers who are interested in learning about data structures and algorithms in Python to write complex, flexible programs. Basic Python programming knowledge is expected.
Hands-On Data Structures and Algorithms with Python
Author: Dr. Basant Agarwal
language: en
Publisher: Packt Publishing Ltd
Release Date: 2018-10-31
Learn to implement complex data structures and algorithms using Python Key FeaturesUnderstand the analysis and design of fundamental Python data structuresExplore advanced Python concepts such as Big O notation and dynamic programmingLearn functional and reactive implementations of traditional data structuresBook Description 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. What you will learnUnderstand object representation, attribute binding, and data encapsulationGain a solid understanding of Python data structures using algorithmsStudy algorithms using examples with pictorial representationLearn complex algorithms through easy explanation, implementing PythonBuild sophisticated and efficient data applications in PythonUnderstand common programming algorithms used in Python data scienceWrite efficient and robust code in Python 3.7Who this book is for This book is for developers who want to learn data structures and algorithms in Python to write complex and flexible programs. Basic Python programming knowledge is expected.
Data Structures in Python
Author: Thompson Carter
language: en
Publisher: Independently Published
Release Date: 2024-12-11
Unlock the power of efficient programming with Data Structures in Python: Algorithms and Data Structures Explained. Whether you're a beginner looking to learn the foundations of data structures or an experienced programmer wanting to deepen your knowledge, this book provides clear, step-by-step explanations of the core concepts and algorithms that form the backbone of computer science. Using Python as the primary language, this book breaks down complex data structures and algorithms into easy-to-understand lessons, providing practical examples and hands-on projects to help you master each concept. From arrays and lists to trees and graphs, you'll gain a comprehensive understanding of how to efficiently organize, store, and manipulate data to solve problems more effectively. Data Structures in Python covers: Understanding Data Structures: Learn about the importance of data structures and how they affect the efficiency of your code. Understand the basics of lists, tuples, sets, and dictionaries. Advanced Data Structures: Dive into more advanced structures like stacks, queues, linked lists, binary trees, heaps, and hash tables, and understand how to implement them in Python. Algorithms in Python: Get hands-on with algorithms for searching, sorting, and traversing data structures. Learn about key algorithms like quicksort, mergesort, and Dijkstra's algorithm, and see how they are implemented in Python. Time and Space Complexity: Learn the Big O notation to analyze the performance of algorithms and data structures, helping you write more efficient code. Practical Applications: See how data structures are used in real-world applications, including databases, web development, game programming, and machine learning. Python Code Examples: Each chapter includes clear, concise Python code examples to show how you can implement and work with various data structures and algorithms. Optimizing Solutions: Learn how to optimize your code to handle larger datasets efficiently and avoid common performance pitfalls. Hands-On Projects: Reinforce your learning with practical exercises and projects that challenge you to implement what you've learned and build solutions to real-world problems. Whether you are looking to improve your coding skills, prepare for technical interviews, or simply understand how data is processed in Python, this book is the perfect guide to mastering data structures and algorithms. Master data structures and algorithms in Python today. Get your copy of Data Structures in Python and start solving problems more efficiently!