Data Structures In Python
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Data Structures In Python
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Author : Thompson Carter
language : en
Publisher: Independently Published
Release Date : 2024-12-11
Data Structures In Python written by Thompson Carter and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-11 with Computers categories.
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!
Data Structures Algorithms In Python
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Author : Robert Lafore
language : en
Publisher: Addison-Wesley Professional
Release Date : 2022-09-06
Data Structures Algorithms In Python written by Robert Lafore and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-06 with Computers categories.
LEARN HOW TO USE DATA STRUCTURES IN WRITING HIGH PERFORMANCE PYTHON PROGRAMS AND ALGORITHMS This practical introduction to data structures and algorithms can help every programmer who wants to write more efficient software. Building on Robert Lafore's legendary Java-based guide, this book helps you understand exactly how data structures and algorithms operate. You'll learn how to efficiently apply them with the enormously popular Python language and scale your code to handle today's big data challenges. Throughout, the authors focus on real-world examples, communicate key ideas with intuitive, interactive visualizations, and limit complexity and math to what you need to improve performance. Step-by-step, they introduce arrays, sorting, stacks, queues, linked lists, recursion, binary trees, 2-3-4 trees, hash tables, spatial data structures, graphs, and more. Their code examples and illustrations are so clear, you can understand them even if you're a near-beginner, or your experience is with other procedural or object-oriented languages. Build core computer science skills that take you beyond merely “writing code” Learn how data structures make programs (and programmers) more efficient See how data organization and algorithms affect how much you can do with today's, and tomorrow's, computing resources Develop data structure implementation skills you can use in any language Choose the best data structure(s) and algorithms for each programming problem—and recognize which ones to avoid Data Structures & Algorithms in Python is packed with examples, review questions, individual and team exercises, thought experiments, and longer programming projects. It's ideal for both self-study and classroom settings, and either as a primary text or as a complement to a more formal presentation.
Problem Solving In Data Structures Algorithms Using Python
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Author : Hemant Jain
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-12-14
Problem Solving In Data Structures Algorithms Using Python written by Hemant Jain and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-14 with categories.
This book is about the usage of Data Structures and Algorithms in computer programming. Designing an efficient algorithm to solve a computer science problem is a skill of Computer programmer. This is the skill which tech companies like Google, Amazon, Microsoft, Adobe and many others are looking for in an interview. This book assumes that you are a Python language developer. You are not an expert in Python language, but you are well familiar with concepts of references, functions, lists and recursion. In the start of this book, we will be revising the Python language fundamentals. We will be looking into some of the problems in arrays and recursion too. Then in the coming chapter, we will be looking into complexity analysis. Then will look into the various data structures and their algorithms. We will be looking into a Linked List, Stack, Queue, Trees, Heap, Hash Table and Graphs. We will be looking into Sorting & Searching techniques. Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, Reduction, and Backtracking. In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview.
Data Structures For Engineers And Scientists Using Python
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Author : Rakesh Nayak
language : en
Publisher: CRC Press
Release Date : 2024-09-18
Data Structures For Engineers And Scientists Using Python written by Rakesh Nayak and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-18 with Computers categories.
The text covers the fundamentals of Python programming and the implementation of data structures using Python programming with the help of worked-out examples. It provides a learning tool for engineers as well as for researchers and scientists of advanced level. The text further discusses important concepts such as polynomial manipulation, sparse matrices, implementation of stack using the queue model and topological sorting. This book: Discusses the implementation of various data structures such as an array, stack, queue, tree and graph along with sorting and searching algorithms. Includes programming tips to highlight important concepts and help readers avoid common programming errors. Presents each concept of data structure with a different approach and implements the same using Python programming. Offers rich chapter-end pedagogy including objective-type questions (with answers), review questions and programming exercises to facilitate review. Covers fundamentals of Python up to object-oriented concepts including regular expression. It is primarily written for senior undergraduate, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering and information technology.
Data Structures And Algorithms In Python
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Author : Michael T. Goodrich
language : en
Publisher: John Wiley & Sons
Release Date : 2013-03-18
Data Structures And Algorithms In Python written by Michael T. Goodrich and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-18 with Computers categories.
Based on the authors' market leading data structures books in Java and C++, this textbook offers a comprehensive, definitive introduction to data structures in Python by respected authors. Data Structures and Algorithms in Python is the first mainstream object-oriented book available for the Python data structures course. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++.
Data Structures And Algorithms With Python
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Author : Kent D. Lee
language : en
Publisher: Springer
Release Date : 2015-01-12
Data Structures And Algorithms With Python written by Kent D. Lee and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-12 with Computers categories.
This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. Features: includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface; provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples; offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author; presents a primer on Python for those from a different language background.
Advanced Applications Of Python Data Structures And Algorithms
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Author : Galety, Mohammad Gouse
language : en
Publisher: IGI Global
Release Date : 2023-07-05
Advanced Applications Of Python Data Structures And Algorithms written by Galety, Mohammad Gouse and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-05 with Computers categories.
Data structures are essential principles applicable to any programming language in computer science. Data structures may be studied more easily with Python than with any other programming language because of their interpretability, interactivity, and object-oriented nature. Computers may store and process data at an extraordinary rate and with outstanding accuracy. Therefore, it is of the utmost importance that the data is efficiently stored and is able to be accessed promptly. In addition, data processing should take as little time as feasible while maintaining the highest possible level of precision. Advanced Applications of Python Data Structures and Algorithms assists in understanding and applying the fundamentals of data structures and their many implementations and discusses the advantages and disadvantages of various data structures. Covering key topics such as Python, linked lists, datatypes, and operators, this reference work is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.
Python Data Structures Explained A Practical Guide With Examples
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Author : William E. Clark
language : en
Publisher: Walzone Press
Release Date : 2025-03-26
Python Data Structures Explained A Practical Guide With Examples written by William E. Clark and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Computers categories.
This book offers a comprehensive guide to understanding and effectively utilizing data structures and algorithmic strategies in Python. It systematically presents each data structure, from basic arrays and lists to more complex entities like trees and graphs, ensuring that readers build a solid foundation in both theory and practical implementation. The content is designed to be accessible to beginners while still providing depth and insights that are valuable for experienced programmers. The text explains core concepts with clear, precise language, emphasizing the importance of choosing the right data structure for efficient problem solving. Detailed explanations of operations, performance considerations, and practical coding techniques provide readers with the tools they need to implement reliable and efficient solutions. The inclusion of debugging and optimization practices further supports the development of professional programming skills. Through a structured progression across multiple chapters, the book delivers a focused and advanced exploration of Python's capabilities in data organization and algorithmic efficiency. Readers will gain practical knowledge by engaging with clear examples, code snippets, and execution outputs that demonstrate the application of each concept. The guide is a valuable resource for anyone aiming to deepen their understanding of Python and its ecosystem of data structures and algorithms.
Data Structures Using Python
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Author : Shriram K. Vasudevan
language : en
Publisher: Oxford
Release Date : 2020-04-15
Data Structures Using Python written by Shriram K. Vasudevan and has been published by Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-15 with Data structures (Computer science) categories.
Data Structures using Python provides an introduction to design, analysis, and implementation of data structures using the powerful programming language, Python. This book is designed for a first course on the subject. It is written for the undergraduate engineering students of Computer Science, Information Technology, and allied disciplines.
Python Scripting For Computational Science
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Author : Hans Petter Langtangen
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Python Scripting For Computational Science written by Hans Petter Langtangen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Mathematics categories.
The primary purpose of this book is to help scientists and engineers work ing intensively with computers to become more productive, have more fun, and increase the reliability of their investigations. Scripting in the Python programming language can be a key tool for reaching these goals [27,29]. The term scripting means different things to different people. By scripting I mean developing programs of an administering nature, mostly to organize your work, using languages where the abstraction level is higher and program ming is more convenient than in Fortran, C, C++, or Java. Perl, Python, Ruby, Scheme, and Tel are examples of languages supporting such high-level programming or scripting. To some extent Matlab and similar scientific com puting environments also fall into this category, but these environments are mainly used for computing and visualization with built-in tools, while script ing aims at gluing a range of different tools for computing, visualization, data analysis, file/directory management, user interfaces, and Internet communi cation. So, although Matlab is perhaps the scripting language of choiee in computational science today, my use of the term scripting goes beyond typi cal Matlab scripts. Python stands out as the language of choice for scripting in computational science because of its very elean syntax, rieh modulariza tion features, good support for numerical computing, and rapidly growing popularity. What Scripting is About.