API Testing and Development with Postman. API creation, testing, debugging, and management made easy - Second Edition

Dave Westerveld

Postman is an invaluable tool for exploration and testing of web APIs and helping testers and developers figure out how an API works. With Postman, you can create effective test automation for any APIs, and this guide will help you unleash its full potential.API Testing and Development with Postman is an invaluable resource for anyone who wants to create a good quality API, but isn't sure how to go about it. This guide will help you unleash the full potential of Postman’s test automation capabilities.A combination of theory coupled with real-world examples will help you learn how to use Postman to create well-designed, documented, and tested APIs. After you’ve familiarized yourself with the theory, you’ll move on to hands-on projects that will teach you how to add test automation to an existing API. You’ll also learn some of the new and powerful features that Postman has that can help you avoid introducing bugs.This second, fully updated edition features new chapters on workflow testing, creating and using mock servers, API security testing, and performance testing. The new and expanded information in this edition will help you future-proof your APIs.By the end of this book, you'll be able to use Postman to set up and run API tests for any API that you are working with.

Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python

Matt Benatan, Jochem Gietema, Marian Schneider

Deep learning is revolutionizing our lives, impacting content recommendations and playing a key role in mission- and safety-critical applications. Yet, typical deep learning methods lack awareness about uncertainty. Bayesian deep learning offers solutions based on approximate Bayesian inference, enhancing the robustness of deep learning systems by indicating how confident they are in their predictions. This book will guide you in incorporating model predictions within your applications with care.Starting with an introduction to the rapidly growing field of uncertainty-aware deep learning, you’ll discover the importance of uncertainty estimation in robust machine learning systems. You’ll then explore a variety of popular Bayesian deep learning methods and understand how to implement them through practical Python examples covering a range of application scenarios.By the end of this book, you’ll embrace the power of Bayesian deep learning and unlock a new level of confidence in your models for safer, more robust deep learning systems.

Industrial Digital Transformation. Accelerate digital transformation with business optimization, AI, and Industry 4.0

Shyam Varan Nath, Ann Dunkin, Mahesh Chowdhary, Nital Patel

Digital transformation requires the ability to identify opportunities across industries and apply the right technologies and tools to achieve results. This book is divided into two parts with the first covering what digital transformation is and why it is important. The second part focuses on how digital transformation works.After an introduction to digital transformation, you will explore the transformation journey in logical steps and understand how to build business cases and create productivity benefit statements. Next, you’ll delve into advanced topics relating to overcoming various challenges. Later, the book will take you through case studies in both private and public sector organizations. You’ll explore private sector organizations such as industrial and hi-tech manufacturing in detail and get to grips with public sector organizations by learning how transformation can be achieved on a global scale and how the resident experience can be improved. In addition to this, you will understand the role of artificial intelligence, machine learning and deep learning in digital transformation. Finally, you’ll discover how to create a playbook that can ensure success in digital transformation.By the end of this book, you’ll be well-versed with industrial digital transformation and be able to apply your skills in the real world.

Hyper-V Best Practices. Equip yourselves with the real-world configurations and best practices of Hyper-V to take full advantage of its virtualization capabilities

Benedict Berger

Mastering Transformers. The Journey from BERT to Large Language Models and Stable Diffusion - Second Edition

Savaş Yildirim, Meysam Asgari- Chenaghlu

Transformer-based language models such as BERT, T5, GPT, DALL-E, and ChatGPT have dominated NLP studies and become a new paradigm. Thanks to their accurate and fast fine-tuning capabilities, transformer-based language models have been able to outperform traditional machine learning-based approaches for many challenging natural language understanding (NLU) problems.Aside from NLP, a fast-growing area in multimodal learning and generative AI has recently been established, showing promising results. Mastering Transformers will help you understand and implement multimodal solutions, including text-to-image. Computer vision solutions that are based on transformers are also explained in the book. You’ll get started by understanding various transformer models before learning how to train different autoregressive language models such as GPT and XLNet. The book will also get you up to speed with boosting model performance, as well as tracking model training using the TensorBoard toolkit. In the later chapters, you’ll focus on using vision transformers to solve computer vision problems. Finally, you’ll discover how to harness the power of transformers to model time series data and for predicting.By the end of this transformers book, you’ll have an understanding of transformer models and how to use them to solve challenges in NLP and CV.

jMonkeyEngine 3.0 : Beginner's Guide. Whether you want to design 3D games with Java for love or for money, this is the primer you need to start using the free libraries of jMonkeyEngine 3.0. All hands on, all fun – it makes light work of learning

Erlend Sogge Heggen, Ruth Kusterer, Ruth Irene Kusterer

jMonkeyEngine 3.0 is a powerful set of free Java libraries that allows you to unlock your imagination, create 3D games and stunning graphics. Using jMonkeyEngine's library of time-tested methods, this book will allow you to unlock its potential and make the creation of beautiful interactive 3D environments a breeze.jMonkeyEngine 3.0 Beginner's Guide teaches aspiring game developers how to build modern 3D games with Java. This primer on 3D programming is packed with best practices, tips and tricks and loads of example code. Progressing from elementary concepts to advanced effects, budding game developers will have their first game up and running by the end of this book.From basic concepts and project creation to building a complex 3D Game, you will learn to layout 3D scenes, make them interactive and add various multi-media effects.You will find answers to common questions including best practices and approaches, how game characters can act and interact, how to simulate solid walls and physical forces, how to take it online to play over a network and much more.From Zero to Hero, start your journey to make your game idea a reality.

Mastering Azure Machine Learning. Perform large-scale end-to-end advanced machine learning in the cloud with Microsoft Azure Machine Learning

Christoph Körner, Kaijisse Waaijer

The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud.The book starts with an overview of an end-to-end ML project and a guide on how to choose the right Azure service for different ML tasks. It then focuses on Azure Machine Learning and takes you through the process of data experimentation, data preparation, and feature engineering using Azure Machine Learning and Python. You'll learn advanced feature extraction techniques using natural language processing (NLP), classical ML techniques, and the secrets of both a great recommendation engine and a performant computer vision model using deep learning methods. You'll also explore how to train, optimize, and tune models using Azure Automated Machine Learning and HyperDrive, and perform distributed training on Azure. Then, you'll learn different deployment and monitoring techniques using Azure Kubernetes Services with Azure Machine Learning, along with the basics of MLOps—DevOps for ML to automate your ML process as CI/CD pipeline.By the end of this book, you'll have mastered Azure Machine Learning and be able to confidently design, build and operate scalable ML pipelines in Azure.

Microsoft Dynamics NAV Administration. A quick guide to install, configure, deploy, and administer Dynamics NAV with ease

Sharan Oberoi, Amit Sachdev

Microsoft Dynamics NAV is an Enterprise Resource Planning (ERP) software product that integrates financial, manufacturing, supply chain management, sales and marketing, project management, human resources, and services management information from across your organization, into a centralized database. It can take hours to browse through documentation and references available online to learn how to install, configure, deploy and administer Dynamics NAV. This book aims to offer quick-start information in one place.You will be amazed to find out how easily you can administer Dynamics NAV using this quick step-by-step guide. This book also has recommendations for software and hardware requirements including operating system considerations and hardware considerations for administering Dynamics NAV to your advantage. It covers some advanced functions to set up periodic activities, common batch jobs, and create object files. It will also guide you to secure your database by creating backups and improving performance with practical examples.First you will look at the considerations for deploying Dynamics NAV and best practices and the most important aspects of every ERP installation. Then you will install Dynamics NAV—client and server components and use Dynamics NAV with the Microsoft Stack.We discuss the Dynamics NAV Security Architecture including security recommendations and best practices. You will then create and restore backups. This book covers some recommendations about performance tuning—using appropriate code syntax, proper hardware sizing, and considerations for writing customized C/AL code while using SQL Server database.Finally, you will set up procedures for scheduling pre-defined reoccurring processes, error and exception handling procedures, and provide mechanisms for automatic data processing on the server. Also, you will learn different methods used in handling, promoting to the database, and creating object files—tables, reports, codeunits, forms, pages, dataports and XMLports.