Generative AI with Python and PyTorch. Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications - Second Edition

Joseph Babcock, Raghav Bali

Become an expert in Generative AI through immersive, hands-on projects that leverage today’s most powerful models for Natural Language Processing (NLP) and computer vision. Generative AI with Python and PyTorch is your end-to-end guide to creating advanced AI applications, made easy by Raghav Bali, a seasoned data scientist with multiple patents in AI, and Joseph Babcock, a PhD and machine learning expert. Through business-tested approaches, this book simplifies complex GenAI concepts, making learning both accessible and immediately applicable.From NLP to image generation, this second edition explores practical applications and the underlying theories that power these technologies. By integrating the latest advancements in LLMs, it prepares you to design and implement powerful AI systems that transform data into actionable intelligence.You’ll build your versatile LLM toolkit by gaining expertise in GPT-4, LangChain, RLHF, LoRA, RAG, and more. You’ll also explore deep learning techniques for image generation and apply styler transfer using GANs, before advancing to implement CLIP and diffusion models.Whether you’re generating dynamic content or developing complex AI-driven solutions, this book equips you with everything you need to harness the full transformative power of Python and AI.

Tableau Cookbook for Experienced Professionals. Over 60 advanced recipes for maximizing performance, interactivity, and platform potential

Pablo Sáenz de Tejada, Daria Kirilenko

In today’s data-driven business world, advanced analytics set organizations apart. Basic visualizations no longer suffice for Tableau developers tackling complex data challenges. Written by Tableau experts who've trained Fortune 500 companies and led global analytics initiatives, this cookbook delivers battle-tested techniques with the perfect blend of technical depth and practical application.You’ll master advanced techniques such as geospatial analysis, data modeling for optimized workflows, and enterprise-scale content management. This book shows you how to leverage Tableau cloud’s Data Management capabilities to centralize data sources and ensure data quality for consistent analytics. You’ll also explore advanced management features such as the Content Migration Tool in Tableau 2025.1 and beyond.Bridging the gap between fundamentals and cutting-edge practices, this book extends Tableau’s capabilities with APIs, custom LOD expressions, virtual connections, data apps, and TabPy. You’ll gain the skills to solve complex business problems, create high-impact dashboards, and seamlessly integrate Tableau into your data strategy, all while adhering to security and governance best practices.This isn’t just another Tableau cookbook—it’s your blueprint for mastering the platform and driving meaningful data-powered transformation.

Machine Learning in Biotechnology and Life Sciences. Build machine learning models using Python and deploy them on the cloud

Saleh Alkhalifa

The booming fields of biotechnology and life sciences have seen drastic changes over the last few years. With competition growing in every corner, companies around the globe are looking to data-driven methods such as machine learning to optimize processes and reduce costs. This book helps lab scientists, engineers, and managers to develop a data scientist's mindset by taking a hands-on approach to learning about the applications of machine learning to increase productivity and efficiency in no time.You’ll start with a crash course in Python, SQL, and data science to develop and tune sophisticated models from scratch to automate processes and make predictions in the biotechnology and life sciences domain. As you advance, the book covers a number of advanced techniques in machine learning, deep learning, and natural language processing using real-world data.By the end of this machine learning book, you'll be able to build and deploy your own machine learning models to automate processes and make predictions using AWS and GCP.

Simplifying 3D Printing with OpenSCAD. Design, build, and test OpenSCAD programs to bring your ideas to life using 3D printers

Colin Dow

Want to bring your 3D designs to life with OpenSCAD, but don’t know where to start? Simplifying 3D Printing with OpenSCAD will teach you the key skills so that you can focus on your ideas, not troubleshooting your 3D printer.With the help of this book, you’ll build a solid foundation in 3D printing technology, the software used for designing your objects, and an analysis of the G-code produced by the 3D printer slicer software. You’ll also get to know your 3D printer and find out how to set up a printing job effortlessly — from configuring the parameters to build well-defined designs.Consider yourself a practical learner? Use real-world examples such as designing and printing a 3D name badge, model rocket, and laptop stand, to dive into the world of 3D printers build your skillset.By the end of this 3D printing book, you'll be ready to start designing and printing your own 3D printed products using OpenSCAD and being your ideas into reality.

WildFly: New Features. Get acquainted with the exciting new features that WildFly has to offer with this book and

Filippe C Spolti

RSpec Essentials. Develop testable, modular, and maintainable Ruby software for the real world using RSpec

Mani Tadayon

This book will teach you how to use RSpec to write high-value tests for real-world code. We start with the key concepts of the unit and testability, followed by hands-on exploration of key features. From the beginning, we learn how to integrate tests into the overall development process to help create high-quality code, avoiding the dangers of testing for its own sake.We build up sample applications and their corresponding tests step by step, from simple beginnings to more sophisticated versions that include databases and external web services. We devote three chapters to web applications with rich JavaScript user interfaces, building one from the ground up using behavior-driven development (BDD) and test-driven development (TDD).The code examples are detailed enough to be realistic while simple enough to be easily understood. Testing concepts, development methodologies, and engineering tradeoffs are discussed in detail as they arise. This approach is designed to foster the reader’s ability to make well-informed decisions on their own.

Building Low-Code Applications with Mendix. Discover best practices and expert techniques to simplify enterprise web development

Bryan Kenneweg, Imran Kasam, Micah McMullen, Michael Guido

Low-code is a visual approach to application development. It enables developers of varying experience levels to create web and mobile apps using drag-and-drop components and model-driven logic through a graphic user interface. Mendix is among the fastest-growing platforms that enable low-code enthusiasts to put their software ideas into practice without having to write much code, and Building Low-Code Applications with Mendix will help you get up and running with the process using examples and practice projects.The book starts with an introduction to Mendix, along with the reasons for using this platform and its tools for creating your first app. As you progress, you’ll explore Mendix Studio Pro, the visual environment that will help you learn Mendix app creation. Once you have your working app ready, you’ll understand how to enhance it with custom business logic and rules. Next, you’ll find out how to defend your app against bad data, troubleshoot and debug it, and finally, connect it with real-world business platforms. You’ll build practical skills as the book is filled with examples, real-world scenarios, and explanations of the tools needed to help you build low-code apps successfully.By the end of this book, you’ll have understood the concept of low-code development, learned how to use Mendix effectively, and developed a working app.

Hands-on Kubernetes on Azure. Use Azure Kubernetes Service to automate management, scaling, and deployment of containerized applications - Third Edition

Nills Franssens, Shivakumar Gopalakrishnan, Gunther Lenz

Containers and Kubernetes containers facilitate cloud deployments and application development by enabling efficient versioning with improved security and portability.With updated chapters on role-based access control, pod identity, storing secrets, and network security in AKS, this third edition begins by introducing you to containers, Kubernetes, and Azure Kubernetes Service (AKS), and guides you through deploying an AKS cluster in different ways. You will then delve into the specifics of Kubernetes by deploying a sample guestbook application on AKS and installing complex Kubernetes apps using Helm. With the help of real-world examples, you'll also get to grips with scaling your applications and clusters.As you advance, you'll learn how to overcome common challenges in AKS and secure your applications with HTTPS. You will also learn how to secure your clusters and applications in a dedicated section on security. In the final section, you’ll learn about advanced integrations, which give you the ability to create Azure databases and run serverless functions on AKS as well as the ability to integrate AKS with a continuous integration and continuous delivery (CI/CD) pipeline using GitHub Actions.By the end of this Kubernetes book, you will be proficient in deploying containerized workloads on Microsoft Azure with minimal management overhead.