Data Structures with Go

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Publisher : Aditya Pratap Bhuyan
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4./5 ( download)

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Book Synopsis Data Structures with Go by : Aditya Pratap Bhuyan

Download or read book Data Structures with Go written by Aditya Pratap Bhuyan and published by Aditya Pratap Bhuyan. This book was released on 2024-08-19 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to "Data Structures with Go: A Comprehensive Guide," your gateway to mastering data structures using the Go programming language. In today’s fast-paced software development world, a solid grasp of data structures is essential for creating efficient, scalable, and high-performance applications. This book provides a thorough exploration of data structures through Go, a language known for its simplicity, performance, and robust concurrency support. Why This Book? Data structures are fundamental to computer science and software engineering. They determine how data is organized, stored, and manipulated, significantly impacting the performance and efficiency of algorithms. With Go’s growing popularity for its clean syntax and effective concurrency model, it is an excellent choice for learning and implementing data structures. This book leverages Go’s features to offer practical insights into data structures, making it a valuable resource for developers of all skill levels. What You Will Learn Fundamentals of Data Structures: The book starts with an introduction to data structures, highlighting their importance and role in software development. You’ll explore basic data types in Go and their applications in various data structures. Arrays and Slices: Delve into arrays and slices, foundational structures in Go. Learn how to declare, initialize, and manipulate them, and understand their performance implications and practical uses. Linked Lists: Explore singly and doubly linked lists, including their structures, operations, and Go implementations. Understand how linked lists compare to arrays and slices and their advantages and limitations. Stacks and Queues: Study these essential linear data structures. Learn about stack (LIFO) and queue (FIFO) operations and their implementations in Go. The chapter also covers variants like deques and priority queues. Trees: Understand hierarchical data structures such as binary trees, binary search trees (BST), AVL trees, and Red-Black trees. Learn about tree operations, traversal techniques, and their Go implementations. Graphs: Learn about graph representations, including adjacency matrices and adjacency lists, and explore directed and undirected graphs. This chapter also covers common algorithms like Depth-First Search (DFS) and Breadth-First Search (BFS). Hashing: Discover hashing techniques, hash tables, and collision handling strategies. Implement hash tables in Go and understand their practical applications. Advanced Data Structures: Dive into specialized data structures such as heaps, tries, suffix trees, and Bloom filters. Learn about their implementations and use cases. Algorithms and Data Structures in Practice: Apply data structures to real-world problems. This chapter focuses on sorting and searching algorithms, optimization techniques, and performance profiling in Go. Real-World Applications: Explore how data structures are used in practical projects. Study case studies, best practices, and design patterns for implementing data structures in Go-based systems. Who Should Read This Book? This book caters to: Beginners: Those new to Go or data structures will find a clear, structured introduction. Intermediate Developers: Readers with some experience can deepen their knowledge and tackle advanced topics. Experienced Professionals: Those looking to explore Go or stay updated with modern practices will find valuable insights and practical examples. Learning Approach Emphasizing hands-on learning, the book includes practical examples, exercises, and real-world case studies to reinforce understanding and encourage experimentation. By working through these exercises, you will gain practical experience and a deeper grasp of data structures in Go. "Data Structures with Go: A Comprehensive Guide" is your key to mastering essential computer science principles and applying them effectively in modern applications. Dive in and discover how Go can enhance your skills in building robust, efficient, and scalable systems. Aditya

Data Structures and Algorithms- A Complete Overciew

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Author :
Publisher : by Mocktime Publication
ISBN 13 :
Total Pages : 64 pages
Book Rating : 4./5 ( download)

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Book Synopsis Data Structures and Algorithms- A Complete Overciew by : Code Xtracts

Download or read book Data Structures and Algorithms- A Complete Overciew written by Code Xtracts and published by by Mocktime Publication. This book was released on 2023-06-11 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Structures and Algorithms- A Complete Overciew for Engineering, BCA abd BSC Computer Courses; BCA Semester, Engineering Semester, BSC Computer Semester

Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation

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Author :
Publisher : Springer
ISBN 13 : 3319582747
Total Pages : 585 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation by : Stanisław Kozielski

Download or read book Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation written by Stanisław Kozielski and published by Springer. This book was released on 2017-05-16 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2017, held in Ustroń, Poland, in May/June 2017. It consists of 44 carefully reviewed papers selected from 118 submissions. The papers are organized in topical sections, namely big data and cloud computing; artificial intelligence, data mining and knowledge discovery; architectures, structures and algorithms for efficient data processing; text mining, natural language processing, ontologies and semantic web; bioinformatics and biological data analysis; industrial applications; data mining tools, optimization and compression.

Algorithms and Data Structures for External Memory

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Publisher : Now Publishers Inc
ISBN 13 : 1601981066
Total Pages : 192 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Algorithms and Data Structures for External Memory by : Jeffrey Scott Vitter

Download or read book Algorithms and Data Structures for External Memory written by Jeffrey Scott Vitter and published by Now Publishers Inc. This book was released on 2008 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes several useful paradigms for the design and implementation of efficient external memory (EM) algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, databases, geographic information systems, and text and string processing.

Data Structures & Algorithms

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Author :
Publisher : RK Publication
ISBN 13 : 8197665729
Total Pages : 319 pages
Book Rating : 4.1/5 (976 download)

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Book Synopsis Data Structures & Algorithms by : P. Dineshkumar

Download or read book Data Structures & Algorithms written by P. Dineshkumar and published by RK Publication. This book was released on 2024-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Structures & Algorithms is a comprehensive guide to the fundamental concepts and techniques used in computer science to organize and process data efficiently. Covering key topics like arrays, linked lists, stacks, queues, trees, graphs, and sorting and searching algorithms, the both the theory and practical implementation of these structures. Ideal for students, software developers, and coding enthusiasts, it provides insights into optimizing code, improving program performance, and solving complex computational problems, preparing readers for technical interviews and real-world applications.

Algorithms and Data Structures with Python

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1836208545
Total Pages : 488 pages
Book Rating : 4.8/5 (362 download)

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Book Synopsis Algorithms and Data Structures with Python by : Cuantum Technologies LLC

Download or read book Algorithms and Data Structures with Python written by Cuantum Technologies LLC and published by Packt Publishing Ltd. This book was released on 2024-06-12 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Python and elevate your algorithmic skills with this comprehensive course. From introductory concepts to advanced computational problems, learn how to efficiently solve complex challenges and optimize your code. Key Features Comprehensive introduction to Python programming and algorithms Detailed exploration of data structures and sorting/searching techniques Advanced topics including graph algorithms and computational problem-solving Book DescriptionBegin your journey with an introduction to Python and algorithms, laying the groundwork for more complex topics. You will start with the basics of Python programming, ensuring a solid foundation before diving into more advanced and sophisticated concepts. As you progress, you'll explore elementary data containers, gaining an understanding of their role in algorithm development. Midway through the course, you’ll delve into the art of sorting and searching, mastering techniques that are crucial for efficient data handling. You will then venture into hierarchical data structures, such as trees and graphs, which are essential for understanding complex data relationships. By mastering algorithmic techniques, you’ll learn how to implement solutions for a variety of computational challenges. The latter part of the course focuses on advanced topics, including network algorithms, string and pattern deciphering, and advanced computational problems. You'll apply your knowledge through practical case studies and optimizations, bridging the gap between theoretical concepts and real-world applications. This comprehensive approach ensures you are well-prepared to handle any programming challenge with confidence.What you will learn Master sorting and searching algorithms Implement hierarchical data structures like trees and graphs Apply advanced algorithmic techniques to solve complex problems Optimize code for efficiency and performance Understand and implement advanced graph algorithms Translate theoretical concepts into practical, real-world solutions Who this book is for This course is designed for a diverse group of learners, including technical professionals, software developers, computer science students, and data enthusiasts. It caters to individuals who have a basic understanding of programming and are eager to deepen their knowledge of Python and algorithms. Whether you're a recent graduate, or an experienced developer looking to expand your skill set, this course is tailored to meet the needs of all types of audiences. Ideal for those aiming to strengthen their algorithmic thinking and improve their coding efficiency.

Data-Intensive Text Processing with MapReduce

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Publisher : Springer Nature
ISBN 13 : 3031021363
Total Pages : 171 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Data-Intensive Text Processing with MapReduce by : Jimmy Lin

Download or read book Data-Intensive Text Processing with MapReduce written by Jimmy Lin and published by Springer Nature. This book was released on 2022-05-31 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks

Programming and Data Structures

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Publisher : RK Publication
ISBN 13 : 9348020730
Total Pages : 340 pages
Book Rating : 4.3/5 (48 download)

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Book Synopsis Programming and Data Structures by : Dr. Mahammad Rafi D

Download or read book Programming and Data Structures written by Dr. Mahammad Rafi D and published by RK Publication. This book was released on 2024-08-23 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming and Data Structures a comprehensive introduction to core programming concepts and fundamental data structures essential for efficient algorithm design and software development. Covering key topics such as arrays, linked lists, stacks, queues, trees, and graphs, this book balances theoretical insights with practical applications. Each chapter is crafted to deepen understanding, presenting real-world examples and exercises that build problem-solving skills. Ideal for students and professionals, it equips readers with the tools to analyze, optimize, and implement data structures in a variety of programming languages.

Natural Language Processing in Artificial Intelligence

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Publisher : CRC Press
ISBN 13 : 1000711315
Total Pages : 297 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Natural Language Processing in Artificial Intelligence by : Brojo Kishore Mishra

Download or read book Natural Language Processing in Artificial Intelligence written by Brojo Kishore Mishra and published by CRC Press. This book was released on 2020-11-01 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features: Addresses the functional frameworks and workflow that are trending in NLP and AI Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.

Data Structures and Algorithms in Java

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1118771338
Total Pages : 736 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Data Structures and Algorithms in Java by : Michael T. Goodrich

Download or read book Data Structures and Algorithms in Java written by Michael T. Goodrich and published by John Wiley & Sons. This book was released on 2014-01-28 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.

String Processing and Information Retrieval

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Publisher : Springer Science & Business Media
ISBN 13 : 3642163203
Total Pages : 421 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis String Processing and Information Retrieval by : Edgar Chavez

Download or read book String Processing and Information Retrieval written by Edgar Chavez and published by Springer Science & Business Media. This book was released on 2010-09-27 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thisvolumecontainsthe paperspresentedatthe 17thInternationalSymposium on String Processing and Information Retrieval (SPIRE 2010), held October 11-13, 2010 in Los Cabos, Mexico. The annual SPIRE conference provides researchers within ?elds related to string processing and/or information retrieval a possibility to present their or- inal contributions and to meet and talk with other researchers with similar - terests. The call for papers invited submissions related to string processing (d- tionary algorithms; text searching; pattern matching; text and sequence c- pression; automata-based string processing), information retrieval (information retrieval models; indexing; ranking and ?ltering; querying and interface design), natural language processing (text analysis; text mining; machine learning; - formation extraction; language models; knowledge representation), searchapp- cations and usage (cross-lingual information access systems; multimedia inf- mation access; digital libraries; collaborative retrieval and Web-related appli- tions; semi-structured data retrieval; evaluation), and interaction of biology and computation (DNA sequencing and applications in molecular biology; evolution andphylogenetics;recognitionofgenesandregulatoryelements;sequencedriven protein structure prediction). The papers presented at the symposium were selected from 109 submissions written by authors from 30 di'erent countries. Each submission was reviewed by at least three reviewers, with a maximum of ?ve reviews for particularly challengingpapers. The ProgramCommittee accepted 39 papers(corresponding to ?35% acceptance rate): 26 long papers and 13 short papers. In addition to these presentations, SPIRE 2010 also featured invited talks by Gonzalo Navarro (Universidad de Chile) and Mark Najork (Microsoft Research, USA).

Advances in Data Mining Knowledge Discovery and Applications

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Publisher : BoD – Books on Demand
ISBN 13 : 9535107488
Total Pages : 404 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Advances in Data Mining Knowledge Discovery and Applications by : Adem Karahoca

Download or read book Advances in Data Mining Knowledge Discovery and Applications written by Adem Karahoca and published by BoD – Books on Demand. This book was released on 2012-09-12 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections. As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, and other areas. In this book, most of the areas are covered with different data mining applications. The eighteen chapters have been classified in two parts: Knowledge Discovery and Data Mining Applications.

Mastering Data Structures with Python

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Author :
Publisher : Aditya Pratap Bhuyan
ISBN 13 :
Total Pages : 707 pages
Book Rating : 4./5 ( download)

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Book Synopsis Mastering Data Structures with Python by : Aditya Pratap Bhuyan

Download or read book Mastering Data Structures with Python written by Aditya Pratap Bhuyan and published by Aditya Pratap Bhuyan. This book was released on 2024-09-14 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the First International Conference on Intelligent Computing and Communication

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Publisher : Springer
ISBN 13 : 9811020353
Total Pages : 686 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Proceedings of the First International Conference on Intelligent Computing and Communication by : Jyotsna Kumar Mandal

Download or read book Proceedings of the First International Conference on Intelligent Computing and Communication written by Jyotsna Kumar Mandal and published by Springer. This book was released on 2016-11-21 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers a wide range of topics in Computer Science and Information Technology including swarm intelligence, artificial intelligence, evolutionary algorithms, and bio-inspired algorithms. It is a collection of papers presented at the First International Conference on Intelligent Computing and Communication (ICIC2) 2016. The prime areas of the conference are Intelligent Computing, Intelligent Communication, Bio-informatics, Geo-informatics, Algorithm, Graphics and Image Processing, Graph Labeling, Web Security, Privacy and e-Commerce, Computational Geometry, Service Orient Architecture, and Data Engineering.

Algorithms

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Publisher : Rob Botwright
ISBN 13 : 1839386193
Total Pages : 286 pages
Book Rating : 4.8/5 (393 download)

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Book Synopsis Algorithms by : Rob Botwright

Download or read book Algorithms written by Rob Botwright and published by Rob Botwright. This book was released on 101-01-01 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing "ALGORITHMS: COMPUTER SCIENCE UNVEILED" - Your Path to Algorithmic Mastery! Are you fascinated by the world of computer science and the magic of algorithms? Do you want to unlock the power of algorithmic thinking and take your skills to expert levels? Look no further! This exclusive book bundle is your comprehensive guide to mastering the art of algorithms and conquering the exciting realm of computer science. 📘 BOOK 1 - COMPUTER SCIENCE: ALGORITHMS UNVEILED 📘 · Dive into the fundamentals of algorithms. · Perfect for beginners and those new to computer science. · Learn the building blocks of algorithmic thinking. · Lay a strong foundation for your journey into the world of algorithms. 📘 BOOK 2 - MASTERING ALGORITHMS: FROM BASICS TO EXPERT LEVEL 📘 · Take your algorithmic skills to new heights. · Explore advanced sorting and searching techniques. · Uncover the power of dynamic programming and greedy algorithms. · Ideal for students and professionals looking to become algorithmic experts. 📘 BOOK 3 - ALGORITHMIC MASTERY: A JOURNEY FROM NOVICE TO GURU 📘 · Embark on a transformative journey from novice to guru. · Master divide and conquer strategies. · Discover advanced data structures and their applications. · Tackle algorithmic challenges that demand mastery. · Suitable for anyone seeking to elevate their problem-solving abilities. 📘 BOOK 4 - ALGORITHMIC WIZARDRY: UNRAVELING COMPLEXITY FOR EXPERTS 📘 · Push the boundaries of your algorithmic expertise. · Explore expert-level techniques and conquer puzzles. · Unleash the full power of algorithmic mastery. · For those who aspire to become true algorithmic wizards. Why Choose "ALGORITHMS: COMPUTER SCIENCE UNVEILED"? 🌟 Comprehensive Learning: Covering the entire spectrum of algorithmic knowledge, this bundle caters to beginners and experts alike. 🌟 Progression: Start with the basics and gradually advance to expert-level techniques, making it accessible for learners at all stages. 🌟 Real-World Application: Gain practical skills and problem-solving abilities that are highly sought after in the world of computer science. 🌟 Expert Authors: Written by experts in the field, each book provides clear explanations and hands-on examples. 🌟 Career Advancement: Enhance your career prospects with a deep understanding of algorithms, an essential skill in today's tech-driven world. Unlock the Secrets of Computer Science Today! Whether you're a student, a professional, or simply curious about computer science, "ALGORITHMS: COMPUTER SCIENCE UNVEILED" is your gateway to a world of knowledge and expertise. Don't miss this opportunity to acquire a valuable skill set that can propel your career to new heights. Get your copy now and embark on a journey to algorithmic mastery!

Data Structure Using Python

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Author :
Publisher : RK Publication
ISBN 13 : 9348020242
Total Pages : 310 pages
Book Rating : 4.3/5 (48 download)

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Book Synopsis Data Structure Using Python by : Dr. Alkawati Magadum

Download or read book Data Structure Using Python written by Dr. Alkawati Magadum and published by RK Publication. This book was released on 2024-09-02 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Structure Using Python is an in-depth guide to understanding, implementing, and optimizing data structures through Python programming. Covering essential structures like arrays, linked lists, stacks, queues, trees, graphs, and hash tables, this book provides both theoretical insights and practical coding examples. Readers gain hands-on experience with algorithms for searching, sorting, and managing data efficiently. With clear explanations, illustrations, and real-world applications, it’s suitable for students, developers, and professionals looking to strengthen their data management skills in Python.

Innovations in Data Analytics

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Author :
Publisher : Springer Nature
ISBN 13 : 9819734665
Total Pages : 461 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Innovations in Data Analytics by : Abhishek Bhattacharya

Download or read book Innovations in Data Analytics written by Abhishek Bhattacharya and published by Springer Nature. This book was released on with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: