Implementing AppFog. Getting to grips with the AppFog service is easily achieved with this hands-on guide, which walks you through creating and deploying applications to the cloud. You'll be developing your first application in minutes

Matthew Nohr, Isaac Rabinovitch

AppFog is the leading platform-as-a-service provider of PHP, Ruby, Node.js, and Java solutions. It is used by developers worldwide to deploy tens of thousands of applications. AppFog delivers a reliable, scalable, and fast platform for deploying applications in the cloud.This book is a hands-on guide that will walk you through creating and deploying applications to the cloud using AppFog, which will allow you to get your application deployed without the hassle of setting up servers.This book demonstrates how to use the AppFog service to build an application and have it running in the Cloud. It will walk you through the initial AppFog setup process and explain how to create your first application in minutes.You will also discover how to use services such as databases to make your applications more powerful. You will also learn how to create applications from scratch.You will find out everything you need to know to get an application running in the cloud for the first time.

KnockoutJS Blueprints. Learn how to design and create amazing web applications using KnockoutJS

Carlo Russo

Ruby on Rails Web Mashup Projects. A step-by-step tutorial to building web mashups

Chang Sau Sheong, David Heinemeier Hansson

Learning Geospatial Analysis with Python. Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7 - Third Edition

Joel Lawhead

Geospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python.This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data.By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.

Banana Pi Cookbook. Over 25 recipes to build projects and applications for multiple platforms with Banana Pi

Ryad El-Dajani

Full-Stack Web Development with TypeScript 5. Craft modern full-stack projects with Bun, PostgreSQL, Svelte, TypeScript, and OpenAI

Mykyta Chernenko, Artem Korchunov

This book takes you on a journey with TypeScript 5, introducing its nuances and advantages over traditional JavaScript, explaining TypeScript basics, and highlighting the syntax, typing, generics, classes, and interfaces. Expert advice will help you build your understanding of TypeScript's role in modern web applications. You'll gain hands-on experience with the tools required to write full-stack web applications end to end, beginning with setting up the Bun environment for backend development. This book also explores server-side functionality such as authentication, routing, and database integration with PostgreSQL. The second part of the book focuses on the integration of the OpenAI API, demonstrating the use of the GPT API for different use cases. The final part covers frontend development using Svelte, guiding you through UI design, state management, and performance optimization. Each chapter has real-world examples and comparisons to other technologies, providing you with a comprehensive understanding of full-stack development.By the end of this book, you'll have learned how to build modern web applications using TypeScript 5 and confidently tackle full-stack development challenges.

Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks

Jay Dawani

Most programmers and data scientists struggle with mathematics, having either overlooked or forgotten core mathematical concepts. This book uses Python libraries to help you understand the math required to build deep learning (DL) models.You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms. This book will cover essential topics, such as linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms, to help you understand how to train deep neural networks. Later chapters focus on important neural networks, such as the linear neural network and multilayer perceptrons, with a primary focus on helping you learn how each model works. As you advance, you will delve into the math used for regularization, multi-layered DL, forward propagation, optimization, and backpropagation techniques to understand what it takes to build full-fledged DL models. Finally, you’ll explore CNN, recurrent neural network (RNN), and GAN models and their application.By the end of this book, you'll have built a strong foundation in neural networks and DL mathematical concepts, which will help you to confidently research and build custom models in DL.

Clojure High Performance Programming. Become an expert at writing fast and high performant code in Clojure 1.7.0 - Second Edition

Shantanu Kumar

Mastering MariaDB. Debug, secure, and back up your data for optimum server performance with MariaDB

Federico Razzoli

Node.js for Beginners. A comprehensive guide to building efficient, full-featured web applications with Node.js

Ulises Gascón

Node.js revolutionizes server-side JavaScript development and empowers developers to build efficient, scalable, and versatile applications across a range of use cases. This book is written by a Node.js core collaborator and releaser and is the only book for beginners on Node.js. It takes you on a progressive learning path that will give you the skills needed to leverage Node.js.You’ll learn Node.js fundamentals and refresh your knowledge of JavaScript before transitioning to the development of modern web applications using Node.js, Express.js, and MongoDB. You’ll get hands-on with complex topics such as asynchronous programming, npm libraries, event-driven patterns for HTTP servers, RESTful API, and JSON Web Tokens. The final chapters will walk you through the deployment process, offering insights into various strategies, including bare metal setups, virtual machines, and containerization with Docker. You’ll also be guided through the use of Process Manager 2 (PM2) for efficient process management.By the end of this Node.js book, you'll have the skills to craft, test, and deploy Node.js web applications confidently and use this powerful stack in your day-to-day projects.

Lync Server Cookbook. Over 90 recipes to empower you to configure, integrate, and manage your very own Lync Server deployment

Antonio Maria Maciel D Vargas, Fabrizio Volpe, Lasse N Wedo, Alessio Giombini

Manga Studio Ex 5 Cookbook. Over 90 hands-on recipes to help you create digital comics from page setup to exporting the final product

Liz Staley

Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions

Sakti Mishra

Amazon EMR, formerly Amazon Elastic MapReduce, provides a managed Hadoop cluster in Amazon Web Services (AWS) that you can use to implement batch or streaming data pipelines. By gaining expertise in Amazon EMR, you can design and implement data analytics pipelines with persistent or transient EMR clusters in AWS.This book is a practical guide to Amazon EMR for building data pipelines. You'll start by understanding the Amazon EMR architecture, cluster nodes, features, and deployment options, along with their pricing. Next, the book covers the various big data applications that EMR supports. You'll then focus on the advanced configuration of EMR applications, hardware, networking, security, troubleshooting, logging, and the different SDKs and APIs it provides. Later chapters will show you how to implement common Amazon EMR use cases, including batch ETL with Spark, real-time streaming with Spark Streaming, and handling UPSERT in S3 Data Lake with Apache Hudi. Finally, you'll orchestrate your EMR jobs and strategize on-premises Hadoop cluster migration to EMR. In addition to this, you'll explore best practices and cost optimization techniques while implementing your data analytics pipeline in EMR.By the end of this book, you'll be able to build and deploy Hadoop- or Spark-based apps on Amazon EMR and also migrate your existing on-premises Hadoop workloads to AWS.

Build Your Own Programming Language. A programmer's guide to designing compilers, interpreters, and DSLs for modern computing problems - Second Edition

Clinton L. Jeffery, Imran Ahmad

There are many reasons to build a programming language: out of necessity, as a learning exercise, or just for fun. Whatever your reasons, this book gives you the tools to succeed.You’ll build the frontend of a compiler for your language and generate a lexical analyzer and parser using Lex and YACC tools. Then you’ll explore a series of syntax tree traversals before looking at code generation for a bytecode virtual machine or native code. In this edition, a new chapter has been added to assist you in comprehending the nuances and distinctions between preprocessors and transpilers. Code examples have been modernized, expanded, and rigorously tested, and all content has undergone thorough refreshing. You’ll learn to implement code generation techniques using practical examples, including the Unicon Preprocessor and transpiling Jzero code to Unicon. You'll move to domain-specific language features and learn to create them as built-in operators and functions. You’ll also cover garbage collection.Dr. Jeffery’s experiences building the Unicon language are used to add context to the concepts, and relevant examples are provided in both Unicon and Java so that you can follow along in your language of choice.By the end of this book, you'll be able to build and deploy your own domain-specific language.

The Applied Artificial Intelligence Workshop. Start working with AI today, to build games, design decision trees, and train your own machine learning models

Anthony So, William So, Zsolt Nagy

You already know that artificial intelligence (AI) and machine learning (ML) are present in many of the tools you use in your daily routine. But do you want to be able to create your own AI and ML models and develop your skills in these domains to kickstart your AI career?The Applied Artificial Intelligence Workshop gets you started with applying AI with the help of practical exercises and useful examples, all put together cleverly to help you gain the skills to transform your career.The book begins by teaching you how to predict outcomes using regression. You will then learn how to classify data using techniques such as k-nearest neighbor (KNN) and support vector machine (SVM) classifiers. As you progress, you’ll explore various decision trees by learning how to build a reliable decision tree model that can help your company find cars that clients are likely to buy. The final chapters will introduce you to deep learning and neural networks. Through various activities, such as predicting stock prices and recognizing handwritten digits, you’ll learn how to train and implement convolutional neural networks (CNNs) and recurrent neural networks (RNNs).By the end of this applied AI book, you’ll have learned how to predict outcomes and train neural networks and be able to use various techniques to develop AI and ML models.

AWS Cloud Computing Concepts and Tech Analogies. A guide to understand AWS services using easy-to-follow analogies from real life

Ashish Prajapati, Juan Carlos Ruiz, Marco Tamassia

This book makes understanding cloud computing easy by providing relatable examples that simplify the complex technology. By drawing parallels between cloud concepts and everyday scenarios, we will demystify cloud tech, and once you start to understand it, learning cloud computing will be more enjoyable.This book will help you learn about cloud computing in general and AWS specifically, as you follow the journey of TrendyCorp—a fictitious company gearing up to move from traditional IT to cloud computing. You’ll shape your understanding of the cloud through scenarios of interactions between TrendyCorp’s new hires, seasoned IT professionals, external consultants, and the board of directors engaged in modernizing their applications. These characters’ discussions and actions are focused on learning about cloud services by drawing comparisons between the technology and examples taken from real life. Through this book, you’ll realize that cloud computing concepts have more in common with your day-to-day scenarios and situations than you’ve ever imagined.This book offers a conversational and entertaining narrative that anyone working in IT and looking to understand how the cloud works will be able to follow. By the end of it, you’ll have developed a clear and simplified perspective of cloud technologies.