Hands-On RTOS with Microcontrollers. Create high-performance, real-time embedded systems using FreeRTOS, STM32 MCUs and SEGGER debug tools - Second Edition

Brian Amos, Jim Yuill, Penn Linder

Want to stay ahead of the curve with embedded systems development? The updated edition of Hands-On RTOS with Microcontrollers is here and packed with cutting-edge content to up your skills. It contains everything you need to know about real-time operating systems, how they work, and why they’re essential for today’s time-critical applications; learn about FreeRTOS and its primary capabilities and APIs. You’ll find a detailed overview of system-design topics such as memory management, project-design topics (MCU, IDE, and RTOS API), and hands-on system use, as well as the system platform, dev-board with an MCU and debug-probe, and development tools (IDE, build system, source-code debugging).The new edition includes 10 real-world embedded applications showcasing the latest features of FreeRTOS, teaching you how to implement them in your own projects and exploring how to optimize your code with dynamic analysis. It also provides example programs on a GitHub repo for you to explore with detailed instructions. You’ll learn how to create and install your own FreeRTOS system on the dev-board, and set up an IDE project with debugging tools. With dozens of reference manuals listed, you’ll never be short on resources for system development.Stay ahead of the curve — get your second edition of Hands-On RTOS with Microcontrollers today!

Mastering Tableau 2023. Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau - Fourth Edition

Marleen Meier, Christina Stathopoulos, David Sigerson

This edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server, Prep, and Desktop, as well as up-to-date examples, this book will take you from mastering essential Tableau concepts to advance functionalities. A chapter on data governance has also been added.Throughout this book, you'll learn how to use Tableau Hyper files and Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins, unions, and data blending tasks using practical examples. You'll also get to grips with executing data densification and explore other expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions.Later chapters will teach you all about improving dashboard performance, connecting to Tableau Server, and understanding data visualization with examples. Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau.By the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.

Learning Highcharts 4. Design eye-catching and interactive JavaScript charts for your web page with Highcharts, one of the leading tools in web charting

Joe Kuan

Instant Parallel Processing with Gearman. Learn how to use Gearman to build scalable distributed applications

John Ewart

Many of today's applications need to be able to process large volumes of data, and vertical scaling has its limits both in terms of prohibitive cost and hardware limits. Gearman is an open source job manager that is well-suited to building horizontally scalable systems, from map-reduce algorithms to simple data processors capable of handling massive amounts of information.Instant Gearman is a practical, hands-on guide to getting started with building an open source job management server system that is built to grow. Learn the basics of building a distributed application that spans multiple components and learn how Gearman fits into building an application that scales from one to hundreds of components that interact to process data. With Gearman, you can build software that scales horizontally as your need for computation increases.Instant Gearman has in-depth examples and a step-by-step approach to building distributed systems, helping you to build systems that are scalable and modular in their approach to processing data.Once you are comfortable with building simple workers and clients, learn how to build a cluster of managers and see how to reduce single-point-of-failure in your architecture. Next, build a simple map-reduce application using Gearman and scale it up from a single instance to multiple parallel processing components.

AWS DevOps Simplified. Build a solid foundation in AWS to deliver enterprise-grade software solutions at scale

Akshay Kapoor, Paul Duvall

DevOps and AWS are the two key enablers for the success of any modern software-run business. DevOps accelerates software delivery, while AWS offers a plethora of services, allowing developers to prioritize business outcomes without worrying about undifferentiated heavy lifting. This book focuses on the synergy between them, equipping you with strong foundations, hands-on examples, and a strategy to accelerate your DevOps journey on AWS.AWS DevOps Simplified is a practical guide that starts with an introduction to AWS DevOps offerings and aids you in choosing a cloud service that fits your company's operating model. Following this, it provides hands-on tutorials on the GitOps approach to software delivery, covering immutable infrastructure and pipelines, using tools such as Packer, CDK, and CodeBuild/CodeDeploy. Additionally, it provides you with a deep understanding of AWS container services and how to implement observability and DevSecOps best practices to build and operate your multi-account, multi-Region AWS environments.By the end of this book, you’ll be equipped with solutions and ready-to-deploy code samples that address common DevOps challenges faced by enterprises hosting workloads in the cloud.

Julia High Performance. Design and develop high performing programs with Julia

Avik Sengupta

Julia is a high performance, high-level dynamic language designed to address the requirements of high-level numerical and scientific computing. Julia brings solutions to the complexities faced by developers while developing elegant and high performing code. Julia High Performance will take you on a journey to understand the performance characteristics of your Julia programs, and enables you to utilize the promise of near C levels of performance in Julia.You will learn to analyze and measure the performance of Julia code, understand how to avoid bottlenecks, and design your program for the highest possible performance. In this book, you will also see how Julia uses type information to achieve its performance goals, and how to use multuple dispatch to help the compiler to emit high performance machine code. Numbers and their arrays are obviously the key structures in scientific computing – you will see how Julia’s design makes them fast. The last chapter will give you a taste of Julia’s distributed computing capabilities.

TensorFlow 2 Reinforcement Learning Cookbook. Over 50 recipes to help you build, train, and deploy learning agents for real-world applications

Palanisamy P

With deep reinforcement learning, you can build intelligent agents, products, and services that can go beyond computer vision or perception to perform actions. TensorFlow 2.x is the latest major release of the most popular deep learning framework used to develop and train deep neural networks (DNNs). This book contains easy-to-follow recipes for leveraging TensorFlow 2.x to develop artificial intelligence applications.Starting with an introduction to the fundamentals of deep reinforcement learning and TensorFlow 2.x, the book covers OpenAI Gym, model-based RL, model-free RL, and how to develop basic agents. You'll discover how to implement advanced deep reinforcement learning algorithms such as actor-critic, deep deterministic policy gradients, deep-Q networks, proximal policy optimization, and deep recurrent Q-networks for training your RL agents. As you advance, you’ll explore the applications of reinforcement learning by building cryptocurrency trading agents, stock/share trading agents, and intelligent agents for automating task completion. Finally, you'll find out how to deploy deep reinforcement learning agents to the cloud and build cross-platform apps using TensorFlow 2.x.By the end of this TensorFlow book, you'll have gained a solid understanding of deep reinforcement learning algorithms and their implementations from scratch.

jQuery UI Cookbook. For jQuery UI developers this is the ultimate guide to maximizing the potential of your user interfaces. Full of great practical recipes that cover every widget in the framework, it's an essential manual

Adam Boduch

jQuery UI is the quintessential framework for creating professional user interfaces. While jQuery core lays the foundation for interaction with the DOM and handling events, jQuery UI fills in the user interaction gap. This book will give you a huge productivity boost out of the box with jQuery UI, and help you understand the framework, inside and out.jQuery UI Cookbook provides you with practical recipes featuring in-depth coverage of every widget in the framework, including how to address limitations that impact your everyday development activities with these widgets. You'll get a better idea of the big picture – how the framework is composed, how the widgets relate to one another, and how to build on those patterns.Be it a minor tweak on the visual design of a progress bar or a fundamental change in a widget to meet your needs, jQuery UI Cookbook covers scenarios both big and small. You can show reminders as tooltips, apply a variety of effects to the menu widget, and start interactions between the dialog widget and API data using deferred objects. These and many more interesting tasks are covered in this book, which can be done with smooth learning and great understanding. You will see how button widgets can fill the width of their containing element, making the layout more consistent. Tabs can be sorted and moved between widgets. You will learn how to do all these things within the context of the big picture, by finding out why the components work the way they do, making you well-versed in jQuery UI.