[PDF] Primeiros Passos Com A Linguagem Rust - eBooks Review

Primeiros Passos Com A Linguagem Rust


Primeiros Passos Com A Linguagem Rust
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Primeiros Passos Com A Linguagem Rust


Primeiros Passos Com A Linguagem Rust
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Author : José Augusto N. G. Manzano
language : pt-BR
Publisher: Novatec Editora
Release Date : 2018-06-29

Primeiros Passos Com A Linguagem Rust written by José Augusto N. G. Manzano and has been published by Novatec Editora this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-29 with Computers categories.


Este livro apresenta a linguagem Rust de forma básica e introdutória para leitores e estudantes de programação que não têm conhecimentos prévios da linguagem. Assuntos abordados neste livro: •tipos de dados; •variáveis mutáveis e imutáveis; •constantes; •operadores aritméticos; •expressões aritméticas; •operações de entrada e saída; •condições; •decisões; •operadores relacionais e lógicos; •desvios condicionais; •ações de divisibilidade; •validação do fluxo de entrada de dados; •laços; •sub-rotinas como funções e procedimentos; •passagem de parâmetro; •estruturas de dados matriciais estáticas e dinâmicas; •conversão de tipos de dados; •ponteiros; •biblioteca definida pelo programador; •noções de programação genérica e funcional; •tratamento de erros e exceções; •aplicação de criptografia, além de outros pequenos recursos operacionais.



Introdu O Linguagem Python


Introdu O Linguagem Python
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Author : José Augusto N. G. Manzano
language : pt-BR
Publisher: Novatec Editora
Release Date : 2018-11-21

Introdu O Linguagem Python written by José Augusto N. G. Manzano and has been published by Novatec Editora this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-21 with Computers categories.


Este livro apresenta a linguagem Python 3 de forma básica e introdutória para leitores e estudantes de programação que não possuem conhecimentos prévios da linguagem. Neste texto encontra-se a apresentação de detalhes e informações sobre: características básicas da linguagem, tipos de dados built-in; variáveis; constantes internas; operadores aritméticos; expressões aritméticas; operações de entrada e saída; condições; decisões; operadores relacionais e lógicos; desvios condicionais; ações de divisibilidade; expressões condicionais; laços; sub-rotinas como funções e procedimentos; passagem de parâmetro; funções lambda; programação com módulos; tratamento de dados; estruturas de dados; orientação a objetos; manipulação de arquivos externos; constantes para localização geográfica; conversões entre bases numéricas; simulação para definição de constantes; uso do modo terminal ANSI; plataforma cruzada e aplicação com geometria de tartaruga (turtle graphics).



Rust


Rust
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Author : Marcelo Castellani
language : pt-BR
Publisher: Editora Casa do Código
Release Date : 2022-04-18

Rust written by Marcelo Castellani and has been published by Editora Casa do Código this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-18 with Computers categories.


Quando falamos em linguagens de programação voltadas à construção de sistemas que exigem performance e agilidade, Rust tem se consolidado como a melhor opção. Ela foi feita para ser segura a ponto de possibilitar uma concorrência limpa sem a famigerada race condition. Trata-se de uma linguagem open source multiparadigma, sendo uma ótima alternativa ao C++. Nesta nova edição, Marcelo Castellani e Willian Molinari mostram por que Rust encaixa-se perfeitamente neste momento de busca por tecnologias capazes de efetuar processamento rápido e paralelo, para o desenvolvimento de ferramentas que exigem performance, como sistemas embarcados e aplicativos de servidor. Você vai aprender na prática conceitos como traits, vetores, generics, macros, entre outros, chegando aos testes e à compilação final do código. Com Rust, você será capaz de escrever sistemas complexos, de alta performance, robustos e seguros.



The Rust Programming Language Covers Rust 2018


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.



Programming Rust


Programming Rust
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Author : Jim Blandy
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-06-11

Programming Rust written by Jim Blandy and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-11 with Computers categories.


Systems programming provides the foundation for the world's computation. Writing performance-sensitive code requires a programming language that puts programmers in control of how memory, processor time, and other system resources are used. The Rust systems programming language combines that control with a modern type system that catches broad classes of common mistakes, from memory management errors to data races between threads. With this practical guide, experienced systems programmers will learn how to successfully bridge the gap between performance and safety using Rust. Jim Blandy, Jason Orendorff, and Leonora Tindall demonstrate how Rust's features put programmers in control over memory consumption and processor use by combining predictable performance with memory safety and trustworthy concurrency. You'll learn: Rust's fundamental data types and the core concepts of ownership and borrowing How to write flexible, efficient code with traits and generics How to write fast, multithreaded code without data races Rust's key power tools: closures, iterators, and asynchronous programming Collections, strings and text, input and output, macros, unsafe code, and foreign function interfaces This revised, updated edition covers the Rust 2021 Edition.



Erlang Programming


Erlang Programming
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Author : Francesco Cesarini
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2009-06-11

Erlang Programming written by Francesco Cesarini and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-11 with Computers categories.


This book is an in-depth introduction to Erlang, a programming language ideal for any situation where concurrency, fault tolerance, and fast response is essential. Erlang is gaining widespread adoption with the advent of multi-core processors and their new scalable approach to concurrency. With this guide you'll learn how to write complex concurrent programs in Erlang, regardless of your programming background or experience. Written by leaders of the international Erlang community -- and based on their training material -- Erlang Programming focuses on the language's syntax and semantics, and explains pattern matching, proper lists, recursion, debugging, networking, and concurrency. This book helps you: Understand the strengths of Erlang and why its designers included specific features Learn the concepts behind concurrency and Erlang's way of handling it Write efficient Erlang programs while keeping code neat and readable Discover how Erlang fills the requirements for distributed systems Add simple graphical user interfaces with little effort Learn Erlang's tracing mechanisms for debugging concurrent and distributed systems Use the built-in Mnesia database and other table storage features Erlang Programming provides exercises at the end of each chapter and simple examples throughout the book.



Rust For Rustaceans


Rust For Rustaceans
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Author : Jon Gjengset
language : en
Publisher: No Starch Press
Release Date : 2021-12-21

Rust For Rustaceans written by Jon Gjengset 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 2021-12-21 with Computers categories.


Master professional-level coding in Rust. For developers who’ve mastered the basics, this book is the next step on your way to professional-level programming in Rust. It covers everything you need to build and maintain larger code bases, write powerful and flexible applications and libraries, and confidently expand the scope and complexity of your projects. Author Jon Gjengset takes you deep into the Rust programming language, dissecting core topics like ownership, traits, concurrency, and unsafe code. You’ll explore key concepts like type layout and trait coherence, delve into the inner workings of concurrent programming and asynchrony with async/await, and take a tour of the world of no_std programming. Gjengset also provides expert guidance on API design, testing strategies, and error handling, and will help develop your understanding of foreign function interfaces, object safety, procedural macros, and much more. You'll Learn: How to design reliable, idiomatic, and ergonomic Rust programs based on best principles Effective use of declarative and procedural macros, and the difference between them How asynchrony works in Rust – all the way from the Pin and Waker types used in manual implementations of Futures, to how async/await saves you from thinking about most of those words What it means for code to be unsafe, and best practices for writing and interacting with unsafe functions and traits How to organize and configure more complex Rust projects so that they integrate nicely with the rest of the ecosystem How to write Rust code that can interoperate with non-Rust libraries and systems, or run in constrained and embedded environments Brimming with practical, pragmatic insights that you can immediately apply, Rust for Rustaceans helps you do more with Rust, while also teaching you its underlying mechanisms.



Translating Cultures


Translating Cultures
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Author : David Katan
language : en
Publisher: Routledge
Release Date : 2014-06-03

Translating Cultures written by David Katan and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-03 with Language Arts & Disciplines categories.


As the 21st century gets into stride so does the call for a discipline combining culture and translation. This second edition of Translating Cultures retains its original aim of putting some rigour and coherence into these fashionable words and lays the foundation for such a discipline. This edition has not only been thoroughly revised, but it has also been expanded. In particular, a new chapter has been added which focuses specifically on training translators for translational and intercultural competencies. The core of the book provides a model for teaching culture to translators, interpreters and other mediators. It introduces the reader to current understanding about culture and aims to raise awareness of the fundamental role of culture in constructing, perceiving and translating reality. Culture is perceived throughout as a system for orienting experience, and a basic presupposition is that the organization of experience is not 'reality', but rather a simplified model and a 'distortion' which varies from culture to culture. Each culture acts as a frame within which external signs or 'reality' are interpreted. The approach is interdisciplinary, taking ideas from contemporary translation theory, anthropology, Bateson's logical typing and metamessage theories, Bandler and Grinder's NLP meta-model theory, and Hallidayan functional grammar. Authentic texts and translations are offered to illustrate the various strategies that a cultural mediator can adopt in order to make the different cultural frames he or she is mediating between more explicit.



Deep Learning With Pytorch


Deep Learning With Pytorch
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Author : Luca Pietro Giovanni Antiga
language : en
Publisher: Simon and Schuster
Release Date : 2020-07-01

Deep Learning With Pytorch written by Luca Pietro Giovanni Antiga 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 2020-07-01 with Computers categories.


“We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of PyTorch Key Features Written by PyTorch’s creator and key contributors Develop deep learning models in a familiar Pythonic way Use PyTorch to build an image classifier for cancer detection Diagnose problems with your neural network and improve training with data augmentation Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands. Instantly familiar to anyone who knows Python data tools like NumPy and Scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s great for building quick models, and it scales smoothly from laptop to enterprise. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. After covering the basics, you’ll learn best practices for the entire deep learning pipeline, tackling advanced projects as your PyTorch skills become more sophisticated. All code samples are easy to explore in downloadable Jupyter notebooks. What You Will Learn Understanding deep learning data structures such as tensors and neural networks Best practices for the PyTorch Tensor API, loading data in Python, and visualizing results Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Methods for training networks with limited inputs Sifting through unreliable results to diagnose and fix problems in your neural network Improve your results with augmented data, better model architecture, and fine tuning This Book Is Written For For Python programmers with an interest in machine learning. No experience with PyTorch or other deep learning frameworks is required. About The Authors Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. Thomas Viehmann is a Machine Learning and PyTorch speciality trainer and consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production



Fluent Python


Fluent Python
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Author : Luciano Ramalho
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-07-30

Fluent Python written by Luciano Ramalho and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-30 with Computers categories.


Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time. Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3. This book covers: Python data model: understand how special methods are the key to the consistent behavior of objects Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age Functions as objects: view Python functions as first-class objects, and understand how this affects popular design patterns Object-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritance Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages Metaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work