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Developed by Facebook, React is a popular library for building impressive user interfaces. React extends its capabilities to the mobile platform using the React Native framework and integrates with popular web and mobile tools to build scalable applications.React Projects is your guide to learning React development by using modern development patterns and integrating React with powerful web tools such as GraphQL, Expo, and React 360. You'll start building a real-world project right from the first chapter and get hands on with developing scalable applications as you advance to building more complex projects. Throughout the book, you'll use the latest versions of React and React Native to explore features such as Higher Order Components (HOC), Context, and Hooks on multiple platforms, which will help you build full stack web and mobile applications efficiently. Finally, you'll delve into unit testing with Jest to build test-driven apps.By the end of this React book, you'll have developed the skills necessary to start building scalable React apps across web and mobile platforms.
Dancing with Python. Learn to code with Python and Quantum Computing
Dancing with Python helps you learn Python and quantum computing in a practical way. It will help you explore how to work with numbers, strings, collections, iterators, and files.The book goes beyond functions and classes and teaches you to use Python and Qiskit to create gates and circuits for classical and quantum computing. Learn how quantum extends traditional techniques using the Grover Search Algorithm and the code that implements it. Dive into some advanced and widely used applications of Python and revisit strings with more sophisticated tools, such as regular expressions and basic natural language processing (NLP). The final chapters introduce you to data analysis, visualizations, and supervised and unsupervised machine learning.By the end of the book, you will be proficient in programming the latest and most powerful quantum computers, the Pythonic way.
Compiere 3. An essential and concise guide to understanding and implementing Compiere
Compiere is a world leading open source commercially supported ERP system. Very large companies have already chosen Compiere over traditional systems. By its nature ERP is a complex subject and while you may be familiar with ERP this book will introduce you to the concepts of Compiere. Here you will learn the Compiere essentials quickly and concisely.The aim of this book is to get you up and running with Compiere through a practical hands on approach. This book will also give you an overview of the main Compiere business process aspects. This book will help you get comfortable with using and exploring the Compiere system as you prepare for a roll out in your organization.Maturing from an open source project to a leading edge competitor in the ERP space, Compiere offers what other traditional big name systems lack. Offering its best of class functionality on a model driven architecture, the latest enterprise platform independent web technologies (GWT, Java, JBoss, Oracle, Postgress), while maintaining openness, value, flexibility, scalability and most of all an integrated ERP platform that can be extended upon with ease.In this book we will introduce you to understanding Compiere functionality exploring the different essential business processes. We will cover the setup, the business processes of sales, purchasing, inventory, financial management as well as advanced aspects like workflow, project planning and migration.Every chapter is illustrated by example so as to facilitate quick and practical reading. This is not a Java programming manual and the book’s aim is to take your basic knowledge of the ERP environment and ensure a proper practical understanding of the critical functional aspects during the Compiere implementation process.
Juan Pablo Bustos, Luis Lopez Soria, Dr. Ali Arsanjani
Explore the transformative potential of GenAI in the application development lifecycle. Through concrete examples, you will go through the process of ideation and integration, understanding the tradeoffs and the decision points when integrating GenAI.With recent advances in models like Google Gemini, Anthropic Claude, DALL-E and GPT-4o, this timely resource will help you harness these technologies through proven design patterns.We then delve into the practical applications of GenAI, identifying common use cases and applying design patterns to address real-world challenges. From summarization and metadata extraction to intent classification and question answering, each chapter offers practical examples and blueprints for leveraging GenAI across diverse domains and tasks. You will learn how to fine-tune models for specific applications, progressing from basic prompting to sophisticated strategies such as retrieval augmented generation (RAG) and chain of thought.Additionally, we provide end-to-end guidance on operationalizing models, including data prep, training, deployment, and monitoring. We also focus on responsible and ethical development techniques for transparency, auditing, and governance as crucial design patterns.
Big Data on Kubernetes. A practical guide to building efficient and scalable data solutions
In today's data-driven world, organizations across different sectors need scalable and efficient solutions for processing large volumes of data. Kubernetes offers an open-source and cost-effective platform for deploying and managing big data tools and workloads, ensuring optimal resource utilization and minimizing operational overhead. If you want to master the art of building and deploying big data solutions using Kubernetes, then this book is for you.Written by an experienced data specialist, Big Data on Kubernetes takes you through the entire process of developing scalable and resilient data pipelines, with a focus on practical implementation. Starting with the basics, you’ll progress toward learning how to install Docker and run your first containerized applications. You’ll then explore Kubernetes architecture and understand its core components. This knowledge will pave the way for exploring a variety of essential tools for big data processing such as Apache Spark and Apache Airflow. You’ll also learn how to install and configure these tools on Kubernetes clusters. Throughout the book, you’ll gain hands-on experience building a complete big data stack on Kubernetes.By the end of this Kubernetes book, you’ll be equipped with the skills and knowledge you need to tackle real-world big data challenges with confidence.