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Go Design Patterns

This book is a comprehensive explanation and implementation of the most common design patterns from the Gang of Four and today's patterns plus some of the most idiomatic concurrency patterns in Go.

Good Code, Bad Code. Think like a software engineer

About this book. Good Code, Bad Code is a clear, practical introduction to writing code that’s a snap to read, apply, and remember. With dozens of instantly-useful techniques, you’ll find coding insights that normally take years of experience to master. In this fast-paced guide, Google software engineer Tom Long teaches you a host of rules to apply, along with advice on when to break them. Software development is a team sport. For an application to succeed, your code needs to be robust and easy for others to understand, maintain, and adapt. Whether you’re working on an enterprise team, contributing to an open source project, or bootstrapping a startup, it pays to know the difference between good code and bad code.

Hands-On Spring Security 5 for Reactive Applications

This book expects readers to be conversant with Spring Framework (any version) and Spring Security (any version). This is an ice-breaker chapter that introduces the reader to some of the most important concepts; we will expand on them in subsequent chapters.

Hands-on Scala Programming

This book aims to introduce the Scala programming experience of today. You will learn how to use Scala in real-world applications like building websites, concurrent data pipelines, or programming language interpreters. Through these projects, you will see how Scala is the easiest way to tackle complex and difficult problems in an elegant and straightforward manner.

Linux Programming: Building and Debugging

The book is particularly useful for those who have programmed in other environments and operating systems before (Windows, for example) and now want to understand how to develop programs in Linux.

Linux Sound Programming

This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.

Linux Kernel Programming

This book, now in its second edition, has been explicitly written with a view to helping you learn Linux kernel development in a practical, hands-on fashion, along with the necessary theoretical background to give you a well-rounded view of this vast and interesting topic. It deliberately focuses on kernel development via the powerful Loadable Kernel Module (LKM) framework. This is because many, if not most, real-world/industry projects and products that involve kernel feature and/or device driver development, are done in this manner.

Machine Learning in Healthcare and Security Advances, Obstacles, and Solutions

This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms. Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions. This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics.

Practical Probabilistic Programming

This book takes the reader gently through these ideas using the Figaro language to illustrate the concepts and their applications. It avoids unnecessary mathematics and concentrates on real-world examples, which are laid out in detail and carefully explained. It is suitable for someone with a typical programming background. As a byproduct of working through the book, the reader will, with less effort than usual, acquire a strong grasp of the principles and techniques of Bayesian inference and statistical learning. Perhaps most importantly, the reader will learn the skill of modeling, which is among the most critical skills any scientist or engineer can have. Figaro and other PPLs allow one to express that skill directly, rapidly, and precisely.

Ekologiya va tabiyatni muhofaza qilish

Mazkur darslikda Respublikada ekologik siyosatning shakllanishi, ekologik omillar, ekologik tizimlar, populyatsiyalar ekologiyasi, ekotizimlar, biosfera haqida ma’lumot, sanoatdagi ekologik jarayonlar, atrof-muhitni tozalash usullari, atrof-muhitning ifloslanish darajasi va boshqa mavzular tasdiqlangan o‘quv dasturiga muvofiq yoritilgan.

Linux Programming: Building and Debugging

The book is particularly useful for those who have programmed in other environments and operating systems before (Windows, for example) and now want to understand how to develop programs in Linux.

Linux Sound Programming

This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.

Linux Kernel Programming

This book, now in its second edition, has been explicitly written with a view to helping you learn Linux kernel development in a practical, hands-on fashion, along with the necessary theoretical background to give you a well-rounded view of this vast and interesting topic. It deliberately focuses on kernel development via the powerful Loadable Kernel Module (LKM) framework. This is because many, if not most, real-world/industry projects and products that involve kernel feature and/or device driver development, are done in this manner.

Aholi geografiyasi

Mazkur "Aholi geografiyasi" darsligi mavzular bo`yicha nazariy bilimlar va seminar mashg`ulotlaridan ma'ruzalar kursini o`zida qamrab olgan.

Machine Learning in Healthcare and Security Advances, Obstacles, and Solutions

This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms. Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions. This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics.

Practical Probabilistic Programming

This book takes the reader gently through these ideas using the Figaro language to illustrate the concepts and their applications. It avoids unnecessary mathematics and concentrates on real-world examples, which are laid out in detail and carefully explained. It is suitable for someone with a typical programming background. As a byproduct of working through the book, the reader will, with less effort than usual, acquire a strong grasp of the principles and techniques of Bayesian inference and statistical learning. Perhaps most importantly, the reader will learn the skill of modeling, which is among the most critical skills any scientist or engineer can have. Figaro and other PPLs allow one to express that skill directly, rapidly, and precisely.