Modern Data Structures And Algorithms In Rust
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Modern Data Structures And Algorithms In Rust
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Author :
language : en
Publisher: RantAI
Release Date : 2024-09-30
Modern Data Structures And Algorithms In Rust written by and has been published by RantAI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Computers categories.
Unlock the Power of Data with Rust! 📊🦀 Introducing Modern Data Structures and Algorithms in Rust (DSAR)—your definitive guide to mastering data structures and algorithms using the cutting-edge Rust programming language! 🚀 Whether you're a student diving into computer science or a professional aiming to enhance your software engineering skills, DSAR is crafted to elevate your understanding and application of fundamental and advanced concepts. ✨ Dive deep into: 🔍 Fundamental (F): Grasp the essential building blocks of data structures and algorithms. 💡 Conceptual (C): Explore the theories that drive efficient problem-solving. 🛠️ Practical (P): Implement robust and high-performance solutions with Rust’s unique features. With over 500+ hands-on examples 🤖 and interactive exercises, DSAR empowers you to build memory-safe, concurrent, and lightning-fast applications. 💻 Each chapter seamlessly integrates Rust’s powerful capabilities with time-tested algorithmic strategies, ensuring you not only learn but also apply your knowledge effectively. 🧩 Why Choose DSAR? ✅ Memory Safety: Leverage Rust’s ownership model to write secure code without sacrificing performance. ✅ Concurrency: Master concurrent programming to build scalable and efficient applications. ✅ Performance: Optimize your algorithms to run at peak speed with Rust’s low-level control. Embrace a modern approach to learning and software development—transform your coding prowess with DSAR’s innovative and comprehensive content! 📚 Perfect for learners at every stage, Modern Data Structures and Algorithms in Rust will deepen your technical expertise and prepare you for the challenges of today’s dynamic tech landscape. 🌟 Start your journey towards becoming a Rustacean data maestro today! 🏆
Hands On Data Structures And Algorithms With Rust
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Author : Claus Matzinger
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-01-25
Hands On Data Structures And Algorithms With Rust written by Claus Matzinger and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-25 with Computers categories.
Design and implement professional level programs by exploring modern data structures and algorithms in Rust. Key FeaturesUse data structures such as arrays, stacks, trees, lists and graphs with real-world examplesLearn the functional and reactive implementations of the traditional data structuresExplore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner.Book Description Rust has come a long way and is now utilized in several contexts. Its key strengths are its software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications, not forgetting its importance in systems' programming. This book will be your guide as it takes you through implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer. The book begins with an introduction to Rust data structures and algorithms, while also covering essential language constructs. You will learn how to store data using linked lists, arrays, stacks, and queues. You will also learn how to implement sorting and searching algorithms. You will learn how to attain high performance by implementing algorithms to string data types and implement hash structures in algorithm design. The book will examine algorithm analysis, including Brute Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking. 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. What you will learnDesign and implement complex data structures in RustAnalyze, implement, and improve searching and sorting algorithms in RustCreate and use well-tested and reusable components with RustUnderstand the basics of multithreaded programming and advanced algorithm designBecome familiar with application profiling based on benchmarking and testingExplore the borrowing complexity of implementing algorithmsWho this book is for This book is for developers seeking to use Rust solutions in a practical/professional setting; who wants to learn essential Data Structures and Algorithms in Rust. It is for developers with basic Rust language knowledge, some experience in other programming languages is required.
Multi Model Databases With Rust
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Author : Evan Pradipta Hardinatha
language : en
Publisher: RantAI
Release Date : 2024-12-25
Multi Model Databases With Rust written by Evan Pradipta Hardinatha and has been published by RantAI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-25 with Computers categories.
"MMDR: Multi-Model Databases with Rust" is a comprehensive guide that bridges the gap between modern database management systems and the powerful, memory-safe programming language, Rust. This book is designed to serve as a vital resource for both database professionals and software developers, offering in-depth knowledge on the implementation, optimization, and integration of multi-model databases using Rust.
The Rust Programming Language Covers Rust 2018
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Author : Steve Klabnik
language : en
Publisher: No Starch Press
Release Date : 2019-08-12
The Rust Programming Language Covers Rust 2018 written by Steve Klabnik and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-12 with Computers categories.
The official book on the Rust programming language, written by the Rust development team at the Mozilla Foundation, fully updated for Rust 2018. The Rust Programming Language is the official book on Rust: an open source systems programming language that helps you write faster, more reliable software. Rust offers control over low-level details (such as memory usage) in combination with high-level ergonomics, eliminating the hassle traditionally associated with low-level languages. The authors of The Rust Programming Language, members of the Rust Core Team, share their knowledge and experience to show you how to take full advantage of Rust's features--from installation to creating robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables and then move on to more advanced concepts, such as: Ownership and borrowing, lifetimes, and traits Using Rust's memory safety guarantees to build fast, safe programs Testing, error handling, and effective refactoring Generics, smart pointers, multithreading, trait objects, and advanced pattern matching Using Cargo, Rust's built-in package manager, to build, test, and document your code and manage dependencies How best to use Rust's advanced compiler with compiler-led programming techniques You'll find plenty of code examples throughout the book, as well as three chapters dedicated to building complete projects to test your learning: a number guessing game, a Rust implementation of a command line tool, and a multithreaded server. New to this edition: An extended section on Rust macros, an expanded chapter on modules, and appendixes on Rust development tools and editions.
The The Complete Rust Programming Reference Guide
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Author : Rahul Sharma
language : en
Publisher:
Release Date : 2019-05-20
The The Complete Rust Programming Reference Guide written by Rahul Sharma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-20 with Computers categories.
Design and implement professional-level programs by leveraging modern data structures and algorithms in Rust Key Features Improve your productivity by writing more simple and easy code in Rust Discover the functional and reactive implementations of traditional data structures Delve into new domains of Rust, including WebAssembly, networking, and command-line tools Book Description Rust is a powerful language with a rare combination of safety, speed, and zero-cost abstractions. This Learning Path is filled with clear and simple explanations of its features along with real-world examples, demonstrating how you can build robust, scalable, and reliable programs. You'll get started with an introduction to Rust data structures, algorithms, and essential language constructs. Next, you will understand how to store data using linked lists, arrays, stacks, and queues. You'll also learn to implement sorting and searching algorithms, such as Brute Force algorithms, Greedy algorithms, Dynamic Programming, and Backtracking. As you progress, you'll pick up on using Rust for systems programming, network programming, and the web. You'll then move on to discover a variety of techniques, right from writing memory-safe code, to building idiomatic Rust libraries, and even advanced macros. By the end of this Learning Path, you'll be able to implement Rust for enterprise projects, writing better tests and documentation, designing for performance, and creating idiomatic Rust code. This Learning Path includes content from the following Packt products: Mastering Rust - Second Edition by Rahul Sharma and Vesa Kaihlavirta Hands-On Data Structures and Algorithms with Rust by Claus Matzinger What you will learn Design and implement complex data structures in Rust Create and use well-tested and reusable components with Rust Understand the basics of multithreaded programming and advanced algorithm design Explore application profiling based on benchmarking and testing Study and apply best practices and strategies in error handling Create efficient web applications with the Actix-web framework Use Diesel for type-safe database interactions in your web application Who this book is for If you are already familiar with an imperative language and now want to progress from being a beginner to an intermediate-level Rust programmer, this Learning Path is for you. Developers who are already familiar with Rust and want to delve deeper into the essential data structures and algorithms in Rust will also find this Learning Path useful.
Algorithms And Data Structures For Massive Datasets
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Author : Dzejla Medjedovic
language : en
Publisher: Simon and Schuster
Release Date : 2022-08-16
Algorithms And Data Structures For Massive Datasets written by Dzejla Medjedovic and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-16 with Computers categories.
Massive modern datasets make traditional data structures and algorithms grind to a halt. This fun and practical guide introduces cutting-edge techniques that can reliably handle even the largest distributed datasets. In Algorithms and Data Structures for Massive Datasets you will learn: Probabilistic sketching data structures for practical problems Choosing the right database engine for your application Evaluating and designing efficient on-disk data structures and algorithms Understanding the algorithmic trade-offs involved in massive-scale systems Deriving basic statistics from streaming data Correctly sampling streaming data Computing percentiles with limited space resources Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You’ll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data. These effective techniques can be applied to any discipline, from finance to text analysis. Graphics, illustrations, and hands-on industry examples make complex ideas practical to implement in your projects—and there’s no mathematical proofs to puzzle over. Work through this one-of-a-kind guide, and you’ll find the sweet spot of saving space without sacrificing your data’s accuracy. About the technology Standard algorithms and data structures may become slow—or fail altogether—when applied to large distributed datasets. Choosing algorithms designed for big data saves time, increases accuracy, and reduces processing cost. This unique book distills cutting-edge research papers into practical techniques for sketching, streaming, and organizing massive datasets on-disk and in the cloud. About the book Algorithms and Data Structures for Massive Datasets introduces processing and analytics techniques for large distributed data. Packed with industry stories and entertaining illustrations, this friendly guide makes even complex concepts easy to understand. You’ll explore real-world examples as you learn to map powerful algorithms like Bloom filters, Count-min sketch, HyperLogLog, and LSM-trees to your own use cases. What's inside Probabilistic sketching data structures Choosing the right database engine Designing efficient on-disk data structures and algorithms Algorithmic tradeoffs in massive-scale systems Computing percentiles with limited space resources About the reader Examples in Python, R, and pseudocode. About the author Dzejla Medjedovic earned her PhD in the Applied Algorithms Lab at Stony Brook University, New York. Emin Tahirovic earned his PhD in biostatistics from University of Pennsylvania. Illustrator Ines Dedovic earned her PhD at the Institute for Imaging and Computer Vision at RWTH Aachen University, Germany. Table of Contents 1 Introduction PART 1 HASH-BASED SKETCHES 2 Review of hash tables and modern hashing 3 Approximate membership: Bloom and quotient filters 4 Frequency estimation and count-min sketch 5 Cardinality estimation and HyperLogLog PART 2 REAL-TIME ANALYTICS 6 Streaming data: Bringing everything together 7 Sampling from data streams 8 Approximate quantiles on data streams PART 3 DATA STRUCTURES FOR DATABASES AND EXTERNAL MEMORY ALGORITHMS 9 Introducing the external memory model 10 Data structures for databases: B-trees, Bε-trees, and LSM-trees 11 External memory sorting
C A Language For Modern Programming
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Author :
language : en
Publisher: Red Dot Publications
Release Date : 2023-10-04
C A Language For Modern Programming written by and has been published by Red Dot Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-04 with Computers categories.
Book Description: C++ Programming: A Journey to the Heart of a Versatile Language is a comprehensive guide to learning and mastering C++, one of the most powerful and versatile programming languages available. This book goes beyond the basics, offering readers a deep understanding of C++'s capabilities, limitations, and its intricate tapestry of uses in the ever-evolving landscape of software development. Written by an experienced C++ programmer and educator, this book covers a wide range of topics, from fundamental C++ concepts to advanced applications in various fields. Each section is packed with practical examples, case studies, and exercises to ensure readers gain a deep understanding of the concepts at hand. Whether you're a complete novice, an experienced programmer looking to expand your skills, or a professional seeking to harness the full potential of C++, this book is your faithful companion. Here are some of the key features of this book: Comprehensive coverage of C++ fundamentals, including data types, variables, functions, classes, objects, inheritance, polymorphism, templates, generics, exception handling, and the Standard Template Library (STL) In-depth exploration of advanced C++ features, such as concepts, ranges, and coroutines Real-world examples and hands-on exercises to solidify learning and boost confidence Best practices, design patterns, and advanced techniques to elevate coding skills Focus on developing a problem-solving mindset and crafting elegant and efficient software This book is ideal for: Anyone interested in learning C++ programming Experienced programmers looking to expand their C++ skills Professionals seeking to harness the full potential of C++ Embark on a journey to the heart of C++ programming with this comprehensive and engaging guide. Discover the language's power and versatility, and learn to create software that inspires and empowers. 20 chapters 319 pages
R Data Structures And Algorithms
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Author : Dr. PKS Prakash
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-11-21
R Data Structures And Algorithms written by Dr. PKS Prakash and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.
Increase speed and performance of your applications with efficient data structures and algorithms About This Book See how to use data structures such as arrays, stacks, trees, lists, and graphs through real-world examples Find out about important and advanced data structures such as searching and sorting algorithms Understand important concepts such as big-o notation, dynamic programming, and functional data structured Who This Book Is For This book is for R developers who want to use data structures efficiently. Basic knowledge of R is expected. What You Will Learn Understand the rationality behind data structures and algorithms Understand computation evaluation of a program featuring asymptotic and empirical algorithm analysis Get to know the fundamentals of arrays and linked-based data structures Analyze types of sorting algorithms Search algorithms along with hashing Understand linear and tree-based indexing Be able to implement a graph including topological sort, shortest path problem, and Prim's algorithm Understand dynamic programming (Knapsack) and randomized algorithms In Detail In this book, we cover not only classical data structures, but also functional data structures. We begin by answering the fundamental question: why data structures? We then move on to cover the relationship between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the fundamentals of data structures, such as lists, stacks, queues, and dictionaries, using real-world examples. We also cover topics such as indexing, sorting, and searching in depth. Later on, you will be exposed to advanced topics such as graph data structures, dynamic programming, and randomized algorithms. You will come to appreciate the intricacies of high performance and scalable programming using R. We also cover special R data structures such as vectors, data frames, and atomic vectors. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. We will also explore the application of binary search and will go in depth into sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. Style and approach This easy-to-read book with its fast-paced nature will improve the productivity of an R programmer and improve the performance of R applications. It is packed with real-world examples.
Practical Machine Learning With Rust
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Author : Joydeep Bhattacharjee
language : en
Publisher: Apress
Release Date : 2019-12-10
Practical Machine Learning With Rust written by Joydeep Bhattacharjee and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-10 with Mathematics categories.
Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you’ll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud. After reading Practical Machine Learning with Rust, you will have a solid understanding of creating high computation libraries using Rust. Armed with the knowledge of this amazing language, you will be able to create applications that are more performant, memory safe, and less resource heavy. What You Will Learn Write machine learning algorithms in Rust Use Rust libraries for different tasks in machine learning Create concise Rust packages for your machine learning applications Implement NLP and computer vision in Rust Deploy your code in the cloud and on bare metal servers Who This Book Is For Machine learning engineers and software engineers interested in building machine learning applications in Rust.