Compiere 3. An essential and concise guide to understanding and implementing Compiere

Andries L Pretorius

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.

NGUI for Unity. The NGUI plugin for Unity makes user interfaces so much more efficient and attractive. Learn all about it in this step-by-step tutorial that includes lots of practical exercises, including creating a fun 2D game

Charles Bernardoff

Mastering SciPy. Implement state-of-the-art techniques to visualize solutions to challenging problems in scientific computing, with the use of the SciPy stack

Francisco Javier Blanco-Silva

Microservices with Go. Building scalable and reliable microservices with Go

Alexander Shuiskov

This book covers the key benefits and common issues of microservices, helping you understand the problems microservice architecture helps to solve, the issues it usually introduces, and the ways to tackle them.You’ll start by learning about the importance of using the right principles and standards in order to achieve the key benefits of microservice architecture. The following chapters will explain why the Go programming language is one of the most popular languages for microservice development and lay down the foundations for the next chapters of the book. You’ll explore the foundational aspects of Go microservice development including service scaffolding, service discovery, data serialization, synchronous and asynchronous communication, deployment, and testing. After covering the development aspects, you’ll progress to maintenance and reliability topics. The last part focuses on more advanced topics of Go microservice development including system reliability, observability, maintainability, and scalability. In this part, you’ll dive into the best practices and examples which illustrate how to apply the key ideas to existing applications, using the services scaffolded in the previous part as examples.By the end of this book, you’ll have gained hands-on experience with everything you need to develop scalable, reliable and performant microservices using Go.

Generative AI Application Integration Patterns. Integrate large language models into your applications

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

Neylson Crepalde

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.

OpenCV with Python By Example. Build real-world computer vision applications and develop cool demos using OpenCV for Python

Prateek Joshi

Hands-On Microservices with Spring Boot and Spring Cloud. Build and deploy Java microservices using Spring Cloud, Istio, and Kubernetes

Magnus Larsson

Microservices architecture allows developers to build and maintain applications with ease, and enterprises are rapidly adopting it to build software using Spring Boot as their default framework. With this book, you’ll learn how to efficiently build and deploy microservices using Spring Boot. This microservices book will take you through tried and tested approaches to building distributed systems and implementing microservices architecture in your organization. Starting with a set of simple cooperating microservices developed using Spring Boot, you’ll learn how you can add functionalities such as persistence, make your microservices reactive, and describe their APIs using Swagger/OpenAPI. As you advance, you’ll understand how to add different services from Spring Cloud to your microservice system. The book also demonstrates how to deploy your microservices using Kubernetes and manage them with Istio for improved security and traffic management. Finally, you’ll explore centralized log management using the EFK stack and monitor microservices using Prometheus and Grafana.By the end of this book, you’ll be able to build microservices that are scalable and robust using Spring Boot and Spring Cloud.