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Beginning jOOQ

This book isn’t about the fundamentals of SQL. Or even the joys of SQL per se (there are many). This book is about taking a different look at handling SQL work in Java.

Beginning Mathematica and Wolfram for Data Science

Why is data science important nowadays? Data science is an active topic that is evolving daily; new methods, techniques, and data are created daily. Data science is an interdisciplinary field involving scientific methods, algorithms, and systematic procedures to extract data sets and thus better understand the data in its different structures. It is a continuation of some theoretical data analysis fields such as statistics, data mining, machine learning, and pattern analysis. With a unique objective, to extract quantitative and qualitative information of value from the data being recollected from various sources, and thus be able to objectively count an event for decision-making, product development, pattern detection, or identification of new business areas.

Beginning Spring Boot 3

Spring is the most popular Java-based framework for building enterprise applications. The Spring Framework provides a rich ecosystem of projects to address modern application needs, like security, simplified access to relational and NoSQL datastores, batch processing, integration with social networking sites, and large volumes of data streams processing. As Spring is a very flexible and customizable framework, there are usually multiple ways to configure an application. Although it is a good thing to have multiple options, it can be overwhelming for beginners. Spring Boot addresses this “Spring applications need complex configuration” problem by using its powerful autoconfiguration mechanism.

Modern Microservices With Spring Boot 3 And Spring Cloud

Microservices, also known as the microservice architecture,is an architectural style that structures an application as a collection of loosely coupled services. These services are fine-grained and the protocols are lightweight. The main goal of microservices is to accelerate software development by enabling continuous delivery and deployment of large,complex applications. Let's delve into the key characteristics and principles of microservices

Blazor WebAssembly By Example

Hi, friends! I love a good second edition. It’s an opportunity to update and add to something that’s already great. You take feedback from the readers and the community, absorb the zeitgeist, and turn an A into an A+. Toi has taken Blazor WebAssembly By Example to the next level and now we welcome you all, readers old and new. I have known Toi Wright for more than 17 years. I first met her at the Microsoft MVP Summit in Redmond back in 2005, if you can believe that. She is a brilliant technologist, community leader, and tech organizer, and we see each other every year at the annual Microsoft MVP Summit. I’ve had the opportunity to travel from my home in Portland to beautiful Dallas to speak in person at the Dallas ASP.NET User Group where she’s the president and founder. Toi has been very active in the ASP.NET community for many years. She brings energy and expertise to everything she does. She has written courseware for Microsoft on ASP.NET and this is her third book on the topic. She’s a respected programmer, architect, and communicator.

.NET MAUI for C# Developers

This book is targeted at anyone who has a fundamental understanding of C# and wishes to write cross-platform applications. If you are not a C# programmer but have experience with another objectoriented program, you should have no trouble following the examples.

OpenShift in Action

We think this is important, because the ultimate goal of DevOps is to enable and enhance communication between developer and operations teams that historically have been placed in adversarial (at best) relationships. To accomplish this, the two authors each specialize in one of these roles. For us, writing this book has been an amazing learning experience in how DevOps can work for just about anything, including writing a book.

Build Your Own Programming Language

This book is structured to guide the reader through the nuanced process of developing a programming language. Beginning with motivations and types of language implementations, Jeffery sets the stage for understanding the fundamental “why” behind language design. He intricately discusses organizing a bytecode language and differentiates between programming languages and libraries, laying a solid foundation for both novices and experienced programmers.

Low-Level Programming

This book is primarily for those of you beginning your journey in the vast arena of learning and understanding modern Linux kernel architecture and internals, Linux kernel module development and, to some extent, Linux device driver development. It’s also very much targeted at those of you who have already been working on Linux modules and/or drivers, who wish to gain a much deeper, well-structured understanding of Linux kernel architecture, memory management, task scheduling, cgroups, and synchronization.

Low-Code AI

This book was created as a first step for those who wish to become ML practitioners, not as a book to turn you into an ML expert. We do not cover the theory of ML in detail, nor do we cover all of the topics from statistics and mathematics needed to be a successful data scientist. We cover the theory that is needed for the projects discussed in this book as a way to ease you into working on ML projects, but going farther than that would be beyond the scope here. We do, however, give many references to resources where you can dive deeper if you are interested in doing so.

Machine Learning Crash Course for Engineers

This book is a crash course, delivering only what engineers need to know about machine learning to apply in their specialized domains. The book focuses more on applications and slightly less on the theory to cater to the needs of people in non-programming majors. The first three chapters are concept-building chapters, where the basics are discussed with relevant programming examples.

Machine Learning with Python Cookbook

This book describes approaches to responsible AI—a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public.

Bayesian Optimization in Action

This book teaches Bayesian optimization, starting from its most basic compo-nents—Gaussian process regression and numerical optimization of an acquisition function—to the latest methods for handling large numbers of evaluations (aka obser-vations) and exotic design spaces. Along the way, it covers all the specializations you might need for a given project: constraint handling, multiple objectives, parallelized evaluation, and evaluation via pairwise comparison. You’ll find enough technical depth to make you comfortable with the tools and methods and enough real code to enable you to use those tools and methods for real work very quickly.

Painless Docker Unlock the Power of Docker and its Ecosystem

This guide doesn’t cover every aspect of Docker, but it does present the most important parts to learn and even master Docker and its rapidly expanding ecosystem. If you come across unfamiliar words or concepts, take your time and conduct your own online research.

Анорганик химиядан амалий ишлар

Қўлланмада лаборатория ишлари, анорганик моддалар классификацияси ва баъзи анорганик моддаларни синтез қилиш тартиби берилган.

Noorganik kimyodan laboratoriya mashg‘ulotlari

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