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Practical Node.js, 2nd Edition
Practical Node.js, 2nd Edition

Learn how to build a wide range of scalable real-world web applications using a professional development toolkit. If you already know the basics of Node.js, now is the time to discover how to bring it to production level by leveraging its vast ecosystem of packages.With this book, you'll work with a varied collection of standards and frameworks and see how all those pieces fit together. Practical Node.js takes you from installing all the necessary modules to writing full-stack web applications. You'll harness the power of the Express.js and Hapi frameworks, the MongoDB database with Mongoskin and Mongoose. You'll also work with Pug and Handlebars template engines, Stylus and LESS CSS lanaguages, OAuth and Everyauth libraries, and the Socket.IO and Derby libraries, and everything in between. This exciting second edition is fully updated for ES6/ES2015 and also covers how to deploy to Heroku and AWS, daemonize apps, and write REST APIs. You'll build full-stack real-world Node.js a ...
Designing Scalable JavaScript Applications
Designing Scalable JavaScript Applications

If you've ever written a non-trivial JavaScript application, you know that creating a code base that's easy to maintain and scales well over time is no small feat. The complexity only grows as the project becomes larger. While it's impossible to plan for every change that could possibly happen over the life of a project, you can help future-proof your front-end architecture by designing software that's pliable and easily extended. Well-designed, extensible architecture can help reduce development and maintenance costs, as bug fixes, enhancements, and new technologies can be incorporated more easily. Designing Scalable JavaScript Applications helps you start thinking about which tools and frameworks you'll use and which design patterns you'll implement. This book brings together excerpts from four different Manning titles selected by Emmit Scott, the author of SPA Design and Architecture. These chapters are great starting points for understanding how to build better JavaScript applic ...
Understanding API Security
Understanding API Security

Gone are the days when it was acceptable for a piece of software to live in its own little silo, disconnected from the outside world. Today, services are expected to be available for programming, mixing, and building into new applications. The web-based Application Programming Interface, or API, is how services make themselves available in this dynamic world. By exposing an API, a service can find new life and utility far beyond what its core functionality was designed to be. But these APIs need to be secured and protected in order to be truly useful. An API that's simply left open to everyone, with no security controls, cannot be used to protect personalized or sensitive information, which severely limits its usefulness. The OAuth delegation and authorization protocol is one of the most popular standards for API security today. Understanding API Security is a selection of chapters from several Manning books that give you some context for how API security works in the real world by ...
Exploring Swift
Exploring Swift

Swift is more than just a modern replacement for Objective-C. Ever since going open source in 2015, Swift has evolved into a language that is powerful, modern, and expressive. It's used everywhere from web development to server-side development and cloud-based services! There's a rich, deep world of Swift skills for delivering cleaner, faster code. All you have to do is find out how to use it. Exploring Swift distils the knowledge of three expert Manning authors, introducing you to how Swift can handle a wide array of unique problems. Hand-picked by iOS developer, Manning author, and mentor Craig Grummitt, this quick-start guide has you exploring objects, modeling data with enums, and solving graph issues, all with just Swift, giving you an understanding of the language in the worlds of data and beyond. When you finish, you'll have a better idea of what you can use Swift for, whether you're building the next big iOS app, taking it to the server, or even writing serverless functions! ...
Exploring .NET Core with Microservices, ASP.NET Core, and Entity Framework Core
Exploring .NET Core with Microservices, ASP.NET Core, and Entity Framework Core

Windows developers have always enjoyed the productivity boost you get with the .NET platform, tools like Entity Framework and ASP.NET, and the amazingly-powerful C# language. Now, .NET Core extends those same benefits to Linux-based systems, offering a true cross-platform solution for enterprise application development. The .NET Core tools, including Entity Framework Core and ASP.NET Core, are lightweight and modular, and they offer similar performance to native Linux and JVM-based frameworks without requiring you to learn a new toolset or rebuild your applications. In a world where platform lock-in is an unpardonable sin, .NET Core offers a perfect pathway to the cloud-based, distributed environments that rule the day. Exploring .NET Core with Microservices, ASP.NET Core, and Entity Framework Core is a collection of five hand-picked chapters introducing you to the art of applying modern development practices and patterns to your .NET Core projects. In it, you'll get a quick overvie ...
Exploring Data with Python
Exploring Data with Python

Python has become a required skill for data science, and it's easy to see why. It's powerful, easy to learn, and includes the libraries like Pandas, Numpy, and Scikit that help you slice, scrub, munge, and wrangle your data. Even with a great language and fantastic tools though, there's plenty to learn! Exploring Data with Python is a collection of chapters from three Manning books, hand-picked by Naomi Ceder, the chair of the Python Software Foundation. This free eBook starts building your foundation in data science processes with practical Python tips and techniques for working and aspiring data scientists. In it, you'll get a clear introduction to the data science process. Then, you'll practice using Python for processing, cleaning, and exploring interesting datasets. Finally, you'll get a practical demonstration of modelling and prediction with classification and regression. When you finish, you'll have a good overview of Python in data science and a well-lit path to continue yo ...
Docker Quick Start Guide
Docker Quick Start Guide

Docker is an open source software platform that helps you with creating, deploying, and running your applications using containers. This book is your ideal introduction to Docker and containerization. You will learn how to set up a Docker development environment on a Linux, Mac, or Windows workstation, and learn your way around all the commands to run and manage your Docker images and containers. You will explore the Dockerfile and learn how to build your own enterprise-grade Docker images. Then you will learn about Docker networks, Docker swarm, and Docker volumes, and how to use these features with Docker stacks in order to define, deploy, and maintain highly-scalable, fault-tolerant multi-container applications. Finally, you will learn how to leverage Docker with Jenkins to automate the building of Docker images and the deployment of Docker containers. By the end of this book, you will be well prepared when it comes to using Docker for your next project. ...
Julia 1.0 Programming Cookbook
Julia 1.0 Programming Cookbook

Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia. Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases ...
Hands-On Industrial Internet of Things
Hands-On Industrial Internet of Things

We live in an era where advanced automation is used to achieve accurate results. To set up an automation environment, you need to first configure a network that can be accessed anywhere and by any device. This book is a practical guide that helps you discover the technologies and use cases for Industrial Internet of Things (IIOT). Hands-On Industrial Internet of Things takes you through the implementation of industrial processes and specialized control devices and protocols. You'll study the process of identifying and connecting to different industrial data sources gathered from different sensors. Furthermore, you'll be able to connect these sensors to cloud network, such as AWS IoT, Azure IoT, Google IoT, and OEM IoT platforms, and extract data from the cloud to your devices. As you progress through the chapters, you'll gain hands-on experience in using open source Node-Red, Kafka, Cassandra, and Python. You will also learn how to develop streaming and batch-based Machine Learni ...
Hands-On Data Science with SQL Server 2017
Hands-On Data Science with SQL Server 2017

SQL Server is a relational database management system that enables you to cover end-to-end data science processes using various inbuilt services and features. Hands-On Data Science with SQL Server 2017 starts with an overview of data science with SQL to understand the core tasks in data science. You will learn intermediate-to-advanced level concepts to perform analytical tasks on data using SQL Server. The book has a unique approach, covering best practices, tasks, and challenges to test your abilities at the end of each chapter. You will explore the ins and outs of performing various key tasks such as data collection, cleaning, manipulation, aggregations, and filtering techniques. As you make your way through the chapters, you will turn raw data into actionable insights by wrangling and extracting data from databases using T-SQL. You will get to grips with preparing and presenting data in a meaningful way, using Power BI to reveal hidden patterns. In the concluding chapters, you wi ...
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