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60+ проектов на Raspberry Pi Pico W Программируйте, создавайте и управляйте проектами с помощью Wireless RP2040

Raspberry Pi Pico — это высокопроизводительный микроконтроллер, разработанный специально для физических вычислений. Читатели должны понимать, что микроконтроллеры сильно отличаются от одноплатных компьютеров, таких как Raspberry Pi 4 (и других членов семейства Raspberry Pi). На Raspberry Pi Pico нет операционной системы. Микроконтроллеры, такие как Raspberry Pi Pico, можно запрограммировать на выполнение одной задачи, и их можно использовать в приложениях быстрого управления и мониторинга в реальном времени. Raspberry Pi Pico основан на быстром и очень эффективном двухъядерном микроконтроллере ARM Cortex-M0+ RP2040, работающем на частоте до 133 МГц. Чип включает 264 КБ SRAM и 2 МБ флэш-памяти. Что делает Raspberry Pi Pico очень привлекательным, так это большое количество контактов GPIO и широко используемые модули периферийного интерфейса, такие как SPI, I2C, UART, PWM, а также быстрые и точные модули синхронизации.

C++ Networking 101 Unlocking Sockets, Protocols, VPNs, and Asynchronous I/O with 75+ sample programs

This book is an invaluable resource for aspiring network administrators aiming to deepen their understanding of networking concepts while strengthening their C++ programming skills. Across eleven chapters, this book bridges the gap between network administration and programming, providing readers with a holistic approach to mastering network operations. Readers begin with a deep dive into network fundamentals such as TCP/IP models, sockets, and protocols. They then progress to practical programming, employing C++ to establish TCP/UDP client-server connections, handle network errors, and deal with application layer protocols such as HTTP/HTTPS, FTP, SMTP, IMAP, and DNS. The book then guides readers through Virtual Private Networks (VPNs), detailing their importance, functioning, and distinct types of VPNs. It explores wireless networking and asynchronous programming, providing clear illustrations of WiFi, Bluetooth, and Zigbee setup using C++. It covers critical wireless standards and security protocols. For a comprehensive understanding, the book illustrates network configuration management using C++ to automate crucial network operations tasks, thus highlighting the power of programming in network management.

Shipping Go Develop, deliver, discuss, design, and go again

About the Book. 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. About the Technology. 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.

Managing machine learning projects from design to deployment

Managing Machine Learning Projects is an end-to-end guide for delivering machine learning applications on time and under budget. It lays out tools, approaches, and processes designed to handle the unique challenges of machine learning project management. You’ll follow an in-depth case study through a series of sprints and see how to put each technique into practice. The book’s strong consideration to data privacy, and community impact ensure your projects are ethical, compliant with global legislation, and avoid being exposed to failure from bias and other issues. About the Book. Managing Machine Learning Projects is an amazing source of battle-tested techniques for effective delivery of real-life machine learning solutions. The book is laid out across a series of sprints that take you from a project proposal all the way to deployment into production.

Developing on AWS with C#

Many organizations today have begun to modernize their Windows workloads to take full advantage of cloud economics. If you're a C# developer at one of these companies, you need options for rehosting, replatforming, and refactoring your existing .NET Framework applications. This practical book guides you through the process of converting your monolithic application to microservices on AWS. Authors Noah Gift, founder of Pragmatic AI Labs, and James Charlesworth, engineering manager at Pendo, take you through the depth and breadth of .NET tools on AWS. You'll examine modernization techniques and pathways for incorporating Linux and Windows containers and serverless architecture to build, maintain, and scale modern .NET apps on AWS. With this book, you'll learn how to make your applications more modern, resilient, and cost-effective.

Mastering cloud-native microservices

Microservices-based cloud-native applications are software applications that combine the architectural principles of microservices with the advantages of cloud-native infrastructure and services. If you want to build scalable, resilient, and agile software solutions that can adapt to the dynamic needs of the modern digital landscape, then this book is for you. This comprehensive guide explores the world of cloud-native microservices and their impact on modern application design. The book covers fundamental principles, adoption frameworks, design patterns, and communication strategies specific to microservices. It then emphasizes on the benefits of scalability, fault tolerance, and resource utilization. Furthermore, the book also addresses event-driven data management, serverless approaches, and security by design. All in all, this book is an essential resource that will help you to leverage the power of microservices in your cloud-native applications. By the end of the book, you will gain valuable insights into building scalable, resilient, and future-proof applications in the era of digital transformation.

Building Modern GUIs with tkinter and Python

This comprehensive guide explores the power of Python's tkinter library. This book covers various classes of GUI widgets, including buttons, input fields, displays, containers, and item widgets. It teaches you how to create interactive and visually appealing user interfaces, handle file selection, gather widget information, and trace changes. Additionally, it includes a hands-on project on creating a user login system using tkinter and sqlite3 database. Whether you're a beginner or an experienced developer, this book will empower you to build professional and intuitive GUI applications effortlessly. By the end of the book, you will have gained knowledge and skills in creating modern user interfaces using the tkinter Python library.

Hands-on kubernetes, service mesh and zero-trust

Building and managing secure applications is a crucial aspect of modern software development, especially in distributed environments. Kubernetes and Istio, when combined, provide a powerful platform for achieving application security and managing it effectively. If you want to build and manage secure applications with ease, then this book is an ideal resource for you. The book extensively covers the building blocks of the Kubernetes orchestration engine, providing in-depth insights into key Kubernetes objects that can be effectively used for deploying containerized applications. It then focuses on all major Kubernetes constructs, offering guidance on their appropriate utilization in different scenarios, while emphasizing the significance of a Zero Trust architecture. Additionally, the book addresses important aspects such as service discovery, optimized logging, and monitoring, which play a critical role in managing distributed applications. It also incorporates essential concepts from Site Reliability Engineering and enabling engineering teams, to proactively meeting Service Level Agreements and attaining operational readiness. In the final section, the book takes a deep dive into Service Mesh, with a special focus on harnessing the strength of Istio as a powerful tool.

Docker deep dive zero to docker in a single book

Docker Deep Dive: 2023 Edition provides comprehensive explanations of core concepts and offers step-by-step guidance on creating and managing containerized applications – from source code to executing in the cloud. If you are looking for a comprehensive resource to help you master Docker and containers in the real world, this book is for you. As well as giving you valuable knowledge and skills, it offers insights and tips to help you navigate the container and cloud-native ecosystems with confidence

Parallel Algorithms

This book is an introduction to the field of parallel algorithms and the underpinning techniques to realize the parallelization. The emphasis is on designing algorithms within the timeless and abstracted context of a high-level programming language. The focus of the presentation is on practical applications of the algorithm design using different models of parallel computation. Each model is illustrated by providing an adequate number of algorithms to solve some problems that quite often arise in many applications in science and engineering. The book is largely self-contained, presuming no special knowledge of parallel computers or particular mathematics. In addition, the solutions to all exercises are included at the end of each chapter. The book is intended as a text in the field of the design and analysis of parallel algorithms. It includes adequate material for a course in parallel algorithms at both undergraduate and graduate levels.

Quantum Mechanics And Bayesian Machines

This compendium brings together the fields of Quantum Computing, Machine Learning, and Neuromorphic Computing. It provides an elementary introduction for students and researchers interested in quantum or neuromorphic computing to the basics of machine learning and the possibilities for using quantum devices for pattern recognition and Bayesian decision tree problems. The volume also highlights some possibly new insights into the meaning of quantum mechanics, for example, why a description of Nature requires probabilistic rather than deterministic methods.

Logic and language models for computer science

This unique compendium highlights the theory of computation, particularly logic and automata theory. Special emphasis is on computer science applications including loop invariants, program correctness, logic programming and algorithmic proof techniques. This innovative volume differs from standard textbooks, by building on concepts in a different order, using fewer theorems with simpler proofs. It has added many new examples, problems and answers. It can be used as an undergraduate text at most universities.

Cloud FinOps. Collaborative, real-time cloud value decision making

FinOps brings financial accountability to the variable spend model of cloud. Used by the majority of global enterprises, this management practice has grown from a fringe activity to the de facto discipline managing cloud spend. In this book, authors J.R. Storment and Mike Fuller outline the process of building a culture of cloud FinOps by drawing on real-world successes and failures of large-scale cloud spenders. Engineering and finance teams, executives, and FinOps practitioners alike will learn how to build an efficient and effective FinOps machine for data-driven cloud value decision-making. Complete with a road map to get you started, this revised second edition includes new chapters that cover forecasting, sustainability, and connectivity to other frameworks.

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Useful Python

In this series of tutorials, we’re not looking at data science. That is, this isn’t about doing heavy statistical or numerical calculations on data we’ve received. Python is one of the industry-standard tools for doing calculations like these using libraries such as NumPy and pandas and there are plenty of resources available for learning data science. In this series, we’ll looking at how to convert data from one form to another so that we can then go on to manipulate it. We’re also going to assume a little knowledge of Python and programming already such as what a variable is, what a dictionary is, and how to import a module.