Rust Web Programming. A hands-on guide to developing fast and secure web apps with the Rust programming language

Maxwell Flitton

Are safety and high performance a big concern for you while developing web applications?While most programming languages have a safety or speed trade-off, Rust provides memory safety without using a garbage collector. This means that with its low memory footprint, you can build high-performance and secure web apps with relative ease.This book will take you through each stage of the web development process, showing you how to combine Rust and modern web development principles to build supercharged web apps.You'll start with an introduction to Rust and understand how to avoid common pitfalls when migrating from traditional dynamic programming languages. The book will show you how to structure Rust code for a project that spans multiple pages and modules. Next, you'll explore the Actix Web framework and get a basic web server up and running. As you advance, you'll learn how to process JSON requests and display data from the web app via HTML, CSS, and JavaScript. You'll also be able to persist data and create RESTful services in Rust. Later, you'll build an automated deployment process for the app on an AWS EC2 instance and Docker Hub. Finally, you'll play around with some popular web frameworks in Rust and compare them.By the end of this Rust book, you'll be able to confidently create scalable and fast web applications with Rust.

Building Big Data Pipelines with Apache Beam. Use a single programming model for both batch and stream data processing

Jan Lukavský

Apache Beam is an open source unified programming model for implementing and executing data processing pipelines, including Extract, Transform, and Load (ETL), batch, and stream processing.This book will help you to confidently build data processing pipelines with Apache Beam. You’ll start with an overview of Apache Beam and understand how to use it to implement basic pipelines. You’ll also learn how to test and run the pipelines efficiently. As you progress, you’ll explore how to structure your code for reusability and also use various Domain Specific Languages (DSLs). Later chapters will show you how to use schemas and query your data using (streaming) SQL. Finally, you’ll understand advanced Apache Beam concepts, such as implementing your own I/O connectors.By the end of this book, you’ll have gained a deep understanding of the Apache Beam model and be able to apply it to solve problems.

Full-Stack React Projects. Modern web development using React 16, Node, Express, and MongoDB

Shama Hoque

The benefits of using a full JavaScript stack for web development are undeniable, especially when robust and widely adopted technologies such as React, Node, and Express and are available. Combining the power of React with industry-tested, server-side technologies, such as Node, Express, and MongoDB, creates a diverse array of possibilities when developing real-world web applications.This book guides you through preparing the development environment for MERN stack-based web development, to creating a basic skeleton application and extending it to build four different web applications. These applications include a social media, an online marketplace, a media streaming, and a web-based game application with virtual reality features. While learning to set up the stack and developing a diverse range of applications with this book, you will grasp the inner workings of the MERN stack, extend its capabilities for complex features, and gain actionable knowledge of how to prepare MERN-based applications to meet the growing demands of real-world web applications.

Arduino IoT Cloud for Developers. Implement best practices to design and deploy simple-to-complex projects at reduced costs

Muhammad Afzal

The Arduino IoT Cloud offers a variety of features for building modern IoT solutions while reducing time and costs for prototyping and deployment. This book is a step-by-step guide, helping you master the powerful Arduino IoT Cloud ecosystem. This book begins by introducing you to the IoT landscape including its architecture, communication technologies, and protocols and then to the capabilities of the Arduino IoT Cloud platform and the Cloud Editor. With practical projects, such as monitoring air quality, building a portable asset tracker, and creating a remote alarm system using the LoRaWAN specification, you'll learn how to implement real-world IoT applications. Next, you'll explore communication between IoT devices and cloud platforms as well as the implementation of the Arduino IoT Cloud SDK and JavaScript for advanced customization. You'll also find out how to program IoT nodes, analyze the surrounding environment data, and visualize it on dashboards. Additionally, you’ll get to grips with advanced features such as task scheduling, synchronization, remote over-the-air updates for IoT nodes, and scripting with CCLI, through hands-on examples.By the end of this book, you’ll have learned how to work with the Arduino IoT Cloud platform and related hardware devices and will be able to develop industry-specific and cost-effective IoT solutions, such as smart homes and smart agriculture.

Deep Learning with TensorFlow. Explore neural networks and build intelligent systems with Python - Second Edition

Giancarlo Zaccone, Md. Rezaul Karim

Deep learning is a branch of machine learning algorithms based on learning multiple levels of abstraction. Neural networks, which are at the core of deep learning, are being used in predictive analytics, computer vision, natural language processing, time series forecasting, and to perform a myriad of other complex tasks.This book is conceived for developers, data analysts, machine learning practitioners and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. Throughout the book, you’ll learn how to develop deep learning applications for machine learning systems using Feedforward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Factorization Machines. Discover how to attain deep learning programming on GPU in a distributed way.You'll come away with an in-depth knowledge of machine learning techniques and the skills to apply them to real-world projects.

Microsoft System Center PowerShell Essentials. Efficiently administer, automate, and manage System Center environments using Windows PowerShell

Harshul Patel, Guruprasad HP, Guru Prasad

Julia: High Performance Programming. Build powerful and fast systems with Julia

Ivo Balbaert, M E Sherrington, Avik Sengupta

In this learning path, you will learn to use an interesting and dynamic programming language—Julia! You will get a chance to tackle your numerical and data problems with Julia. You’ll begin the journey by setting up a running Julia platform before exploring its various built-in types. We’ll then move on to the various functions and constructs in Julia. We’ll walk through the two important collection types—arrays and matrices in Julia.You will dive into how Julia uses type information to achieve its performance goals, and how to use multiple dispatch to help the compiler emit high performance machine code. You will see how Julia’s design makes code fast, and you’ll see its distributed computing capabilities.By the end of this learning path, you will see how data works using simple statistics and analytics, and you’ll discover its high and dynamic performance—its real strength, which makes it particularly useful in highly intensive computing tasks. This learning path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Getting Started with Julia by Ivo Balvaert? Julia High Performance by Avik Sengupta? Mastering Julia by Malcolm Sherrington

Appcelerator Titanium Application Development by Example Beginner's Guide. Once you've got into Appcelerator Titanium you'll never look back. This book is the perfect introduction to developing native cross-platform apps for iOS, Android, and Windows 8

Darren Cope, Darren Paul Cope

Appcelerator Titanium is the leading method for creating native cross-platform apps. This book guides you from the initial stages with the language right through to the submission of your app to the marketplace/app store. Specially crafted examples cover the most common requirements of an app programmer. This book will be your companion as you progress with the language.Appcelerator Titanium Application Development by Example Beginner's Guide will guide you through the process of designing cross-platform apps using Titanium. It covers all areas of the language from installation through development to submission to the store. This book will take a hands-on approach in teaching you how to write cross-platform apps using Titanium, as well as exploring the new features of Titanium 3. Each chapter will show you how to overcome specific challenges using Titanium. You will learn how to design your apps using MVC principles and Alloy, use the cloud to your advantage, develop apps that work on tablets and phones, use the phone gadgets like the accelerometer, integrate social media, record usage using analytics, and monetise your app. All tasks from installation to deployment to the store are covered and backed by examples. The book will be your companion from your first steps with Titanium to successful live deployment.