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Название: Shipping Go: Develop, deliver, discuss, design, and go again (Final) Автор: Joel Holmes Издательство: Manning Publications Год: 2023 Страниц: 248 Язык: английский Формат: pdf, epub, mobi Размер: 10.2 MB
Build and upgrade an automated software delivery pipeline that supports containerization, integration testing, semantic versioning, automated deployment, and more. An effective software delivery pipeline automates all stages, from initial design, through development, deployment, and ultimately the usage experience that feeds back into new features and releases. Go embraces the best practices of Continuous Delivery, and adds a few language-specific tools and twists of its own. Shipping Go shows you how to build Go-specific software development pipelines. You’ll have a basic CI/CD process up and running by the time you finish Chapter 3, along with an iterative process for designing, releasing, and revising your applications. Then, you’ll systematically upgrade your pipeline to support containerization, integration testing, semantic versioning, and automated deployment. A set of handy appendices help you translate these valuable practices to Kotlin, Python, and javascript applications. For Go developers. |
Разместил: Ingvar16 11-07-2023, 16:28 | Комментарии: 0 | Подробнее
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Название: Programming Phoenix LiveView: Interactive Elixir Web Programming Without Writing Any javascript Автор: Bruce A. Tate, Sophie DeBenedetto Издательство: The Pragmatic Bookshelf, LLC Год: March 21, 2023 (Version: B9.0) Страниц: 412 Язык: английский Формат: pdf (true), epub Размер: 16.2 MB
The Phoenix team was able to build javascript features into LiveView that automate the process of changing a user interface on a socket connection. In LiveView, programmers would find a beautiful programming model based on tested concepts, and one that provided javascript infrastructure so developers didn’t need to write their own javascript. This book is for advanced beginners and intermediate programmers who want to build web applications using Phoenix LiveView. In it, you’ll learn the basic abstractions that make LiveView work, and you’ll explore techniques that help you organize your code into layers that make sense. We will try not to bore you with a tedious feature-by-feature march. Instead, we’ll help you grasp LiveView by building a nontrivial application together. |
Разместил: Ingvar16 11-07-2023, 15:51 | Комментарии: 0 | Подробнее
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Автор: Гончаренко И. В. Название: Компьютерное моделирование антенн. Все о программе MMANA Издательство: М:, ИП РадиоСофт, Журнал «Радио» Год: 2002 Страниц: 80 Формат: PDF, PDF Размер: 11 МБ
Эта книжка посвящена описанию работы с одной из лучших на сегодняшний день и, что особенно следует подчеркнуть, бесплатной компьютерной программой моделирования антенн MMANA. Краткое описание программы было опубликовано в журнале «Радио» в 2001 г. (июнь-сентябрь). В этом издании приведено полное ее описание... |
Разместил: polyanskiy 11-07-2023, 10:22 | Комментарии: 0 | Подробнее
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Название: Основы теории и алгоритмы на графах Автор: Гданский Н.И. Издательство: Инфра-М Год: 2022 Страниц: 206 Язык: русский Формат: pdf Размер: 45.3 MB
В учебном пособии изложены основные теоретические положения теории графов, основные задачи, решаемые с использованием графовых структур, а также общие методы их решения и конкретные алгоритмы с оценками их сложности. Рассмотрено множество примеров, приведены вопросы для проверки уровня знаний и задачи для самостоятельного решения. Наряду с контрольными заданиями для проверки теоретической подготовки указаны варианты практических заданий на разработку программ по изучаемым разделам теории графов. Рассчитано на студентов бакалавриата и магистратуры, изучающих информационные технологии, для углубленной подготовки в области анализа и проектирования систем сложной структуры. Также пособие может быть полезно специалистам IT-сферы при изучении алгоритмических аспектов теории графов. |
Разместил: Ingvar16 11-07-2023, 07:39 | Комментарии: 0 | Подробнее
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Название: Wind Power Analysis And Forecasting Using Machine Learning With Python Автор: Vivian Siahaan, Rismon Hasiholan Sianipar Издательство: Balige Publishing Год: 2022 Страниц: 215 Язык: английский Формат: epub Размер: 19.1 MB
In this project on wind power analysis and forecasting using Machine Learning with Python, we started by exploring the dataset. We examined the available features and the target variable, which is the active power generated by wind turbines. The dataset likely contained information about various meteorological parameters and the corresponding active power measurements. To begin our analysis, we focused on the regression task of predicting the active power using regression algorithms. We split the dataset into training and testing sets and preprocessed the data by handling missing values and performing feature scaling. The preprocessing step ensured that the data was suitable for training Machine Learning models. Next, we trained several regression models on the preprocessed data. We utilized algorithms such as Linear Regression, Decision Tree Regression, Random Forest Regression, and Gradient Boosting Regression. Each model was trained on the training set and evaluated on the testing set using performance metrics like mean squared error (MSE) and R-squared score. After obtaining regression models for active power prediction, we shifted our focus to predicting categorized active power using Machine Learning models. |
Разместил: Ingvar16 11-07-2023, 07:08 | Комментарии: 0 | Подробнее
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Название: Язык и среда программирования R Автор(ы): Золотарюк А.В. Издательство: Инфра-М Год: 2022 Страниц: 163 Формат: PDF Размер: 40 Мб Язык: русский
Учебное пособие содержит весь необходимый объем знаний для работы с программной средой R, включая особенности интерфейса, применяемые операторы и функции, а также основы статического анализа полученных результатов. |
Разместил: MIHAIL62 11-07-2023, 04:44 | Комментарии: 0 | Подробнее
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Название: Elementary Dart and Flutter for Beginners Автор: Sanjib Sinha Издательство: Leanpub Год: 2022-03-22 Страниц: 281 Язык: английский Формат: pdf (true), mobi, epub Размер: 10.1 MB
In Dart everything is Object. What does that mean actually? Let’s learn the important concepts. Are you planning to learn Flutter? Then learn the Dart Programming Language. At least, learn the important concepts in Dart. And the basics. It will help you to grasp the concepts of Flutter-Framework easily. We presume, you are a beginner. You have no coding background. But do not worry. We will start from the beginning. Let us learn the important concepts first. Firstly, Dart is an Object-Oriented-Programming Language. What does that mean? It means in Dart, everything is Object. The Dart Programming Language is a great fit for both – Mobile Apps and Web Apps. It is free and open source. Flutter is an Open-Source UI SDK developed by Google. The framework Flutter allows the development of iOS and Android applications. Since the Flutter uses Dart as the programming language, learning Dart helps us to learn the Flutter also. Dart is an Open-Source, programming language. It is easy to learn. Therefore we can learn Dart to build stable, and creates high-performance applications. This book serves as a good introduction to the Dart Programming Language. |
Разместил: Ingvar16 11-07-2023, 03:12 | Комментарии: 0 | Подробнее
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Название: Парфенов Д.В. Автор(ы): Язык Си. Кратко и ясно Издательство: Инфра-М Год: 2023 Страниц: 320 Формат: PDF Размер: 71 Мб Язык: русский
В учебном пособии представлена новейшая версия языка программирования Си, ставшего международным стандартом. Совмещены подходы учебного пособия и справочника, что облегчает студентам изучение материала. Особое внимание уделено стилю программирования, его эффективности и выразительности. |
Разместил: MIHAIL62 10-07-2023, 22:58 | Комментарии: 0 | Подробнее
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Название: Programming Massively Parallel Processors: A Hands-on Approach, Fourth Edition Автор: Wen-mei W. Hwu, David B. Kirk, Izzat El Hajj Издательство: Morgan Kaufmann Год: 2023 Страниц: 555 Язык: английский Формат: pdf (true) Размер: 32.0 MB
Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. For this new edition, the authors are updating their coverage of CUDA, including the concept of unified memory, and expanding content in areas such as threads, while still retaining its concise, intuitive, practical approach based on years of road-testing in the authors' own parallel computing courses. We are now ready to learn how to write a CUDA C program to exploit data parallelism for faster execution. CUDA C extends the popular ANSI C programming language with minimal new syntax and library functions to let programmers target heterogeneous computing systems containing both CPU cores and massively parallel GPUs. |
Разместил: Ingvar16 10-07-2023, 21:43 | Комментарии: 0 | Подробнее
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Название: Deep Learning Applications in Image Analysis Автор: Sanjiban Sekhar Roy, Ching-Hsien Hsu, Venkateshwara Kagita Издательство: Springer Год: 2023 Страниц: 218 Язык: английский Формат: pdf (true) Размер: 10.1 MB
This book provides state-of-the-art coverage of Deep Learning applications in image analysis. The book demonstrates various Deep Learning algorithms that can offer practical solutions for various image-related problems; also how these algorithms are used by scientists and scholars in industry and academia. The book also addresses the difficulty of implementing Deep Learning in terms of computation time and the complexity of reasoning and modelling different types of data where information is currently encoded. Each chapter has the application of various new or existing Deep Learning models such as Deep Neural Network (DNN) and Deep Convolutional Neural Networks (DCNN). The detailed utilization of Deep Learning packages that are available in MATLAB, Python and R programming environments have also been discussed, therefore, the readers will get to know about the practical implementation of Deep Learning as well. The content of this book is presented in a simple and lucid style for professionals, nonprofessionals, scientists, and students interested in the research area of Deep Learning applications in image analysis. |
Разместил: Ingvar16 10-07-2023, 19:56 | Комментарии: 0 | Подробнее
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