Название: Quick Start Kubernetes (2024 Edition)
Автор: Nigel Poulton
Издательство: Leanpub
Год: 2024-01-02
Страниц: 118
Язык: английский
Формат: epub
Размер: 10.1 MB

Demystify Kubernetes, the architecture and how to deploy apps. Brought to you by best-selling author and global training guru Nigel Poulton, Quick Start Kubernetes is the fastest way to wrap your head around Kubernetes and get your hands-on deploying a simple app. When you've finished the book, you'll be ready to rock-and-roll with Kubernetes. The 2024 edition is fully updated for Kubernetes v1.29 and all the latest trends in the cloud-native ecosystem. Do you need to figure out what Kubernetes is all about? Do you like learning through hands-on? If yes, this is the book for you... Quick Start Kubernetes, brought to you by best-selling author Nigel Poulton, assumes zero prior experience and gets you to the point you can hold your own in a conversation with an expert, and deploy simple applications. And it does it in less than 100 pages! Along the way, Nigel will explain everything as clearly as possible and bust every piece of jargon. When you're done, you'll be in love with Kubernetes and ready to put your skills to use.

Название: Artificial Intelligence in application: Legal aspects, application potentials and use scenarios
Автор: Thomas Barton, Christian Müller
Издательство: Springer
Год: 2024
Страниц: 197
Язык: английский
Формат: pdf (true), epub
Размер: 15.0 MB

The book shows application potentials of Artificial Intelligence (AI) in various industries and presents application scenarios on how a practical implementation can take place. The starting point is the description of legal aspects, which includes a European regulation for Artificial Intelligence and addresses the question of the permissibility of automated decisions. The description of various application potentials, mostly industry-related, and the presentation of some application scenarios form the focus of the topic volume. Four mobility scenarios, in which cars are privately owned or shared on the one hand and are driven by a driver or move autonomously on the other, are changing the most important business processes in the automotive trade, such as car sales, maintenance, repairs and used car purchases. In all processes, application scenarios for the Artificial Intelligence (AI) subfields computer vision, natural language processing (NLP) and machine learning can be identified. The analysis shows that the current degree of implementation varies widely, from the already widespread predictive maintenance in maintenance, to the first approaches of computer vision for diagnosis in repair and used car purchase, to the still novel use of chatbots in consulting and Machine Learning in recommendation processes. For car dealers, the question arises of specialization, e.g. as a service factory or for the fleet management of a mobility service provider, each of which requires different AI scenarios. The book is based on the question of how Artificial Intelligence can be used in entrepreneurial practice. It offers important information that is just as relevant for practitioners as for students and teachers.

Название: Python for Natural Language Processing: Programming with NumPy, Scikit-learn, Keras, and PyTorch, 3rd Edition
Автор: Pierre M. Nugues
Издательство: Springer
Год: 2024
Страниц: 536
Язык: английский
Формат: pdf (true), epub
Размер: 30.2 MB

Since the last edition of this book, progress has been astonishing in all areas of Natural Language Processing, with recent achievements in Text Generation that spurred a media interest going beyond the traditional academic circles. Text Processing has meanwhile become a mainstream industrial tool that is used, to various extents, by countless companies. As such, a revision of this book was deemed necessary to catch up with the recent breakthroughs, and the author discusses models and architectures that have been instrumental in the recent progress of Natural Language Processing.

Название: Numbers and Functions : Theory, Formulation, and Python Codes
Автор: G.R. Liu
Издательство: World Scientific Publishing
Год: 2024
Страниц: 226
Язык: английский
Формат: pdf (true)
Размер: 38.1 MB

This unique volume covers two fundamental elements of computational methods — numbers and functions. It provides an in-depth discussion of the behaviors of numbers, including both real and complex numbers. The discussion leads to the important closure properties of numbers, ensuring solution consistence and existence, and also possible failure in numerical computations in science and engineering.This text then introduces types of functions that take numbers as independent variables and produce a single number. Approaches for constructing inverse functions are also provided. Frequently used basis functions are introduced, with detailed studies on their properties and behaviors. Techniques are presented for constructing basis functions and their use in function approximation in computational methods. Taking advantage of the fast development of computer hardware and software, our discussions will largely be accompanied by computer codes, so that the concepts, theories, and formulations can be immediately demonstrated using examples with results plotted. We will use primarily Python in the first handful of volumes on more fundamental topics and possibly other suitable languages for more advanced topics. Python codes are used because they are currently, and in the foreseeable time, the most popular and easy-to-use tool. The idea is to break down all these difficult topics into simpler ones and conquere one by one immediately using the codes provided. As Python codes are provided, readers can easily see how the theory is formulated and how the solutions are obtained in terms of formulas, numbers, and graphs. Readers may also deepen their understanding via playing with codes and even further develop his/her own codes for solving other related problems. The book is written in Jupyter Notebook format, so that description of theory, formulation, derivation, and coding can all be done in a unified document.

Название: Programming Language Explorations, 2nd Edition
Автор: Ray Toal, Sage Strieker, Marco Berardini
Издательство: CRC Press
Год: 2024
Страниц: 408
Язык: английский
Формат: pdf (true)
Размер: 13.4 MB

Programming Language Explorations helps its readers gain proficiency in programming language practice and theory by presenting both example-focused, chapter-length explorations of fourteen important programming languages and detailed discussions of the major concepts transcending multiple languages. A language-by-language approach is sandwiched between an introductory chapter that motivates and lays out the major concepts of the field and a final chapter that brings together all that was learned in the middle chapters into a coherent and organized view of the field. Each of the featured languages in the middle chapters is introduced with a common trio of example programs and followed by a tour of its basic language features and coverage of interesting aspects from its type system, functional forms, scoping rules, concurrency patterns, and metaprogramming facilities. These chapters are followed by a brief tour of over 40 additional languages designed to enhance the reader’s appreciation of the breadth of the programming language landscape and to motivate further study. We’ve carefully chosen the order of languages to make a story out of the book. We start with Lua for its elegant design and relatively small but powerful feature set. jаvascript follows with similar features to Lua (such as first class functions and prototypal inheritance), while adding a host of modern features and a powerful event-driven, asynchronous programming model. As perhaps the world’s most popular language, jаvascript has influenced hundreds of successors, the most popular of which, TypeScript, comes next, along with an introduction to static types. The next two languages, Python and Ruby, are general-purpose scripting languages, in which we focus on first-class types and object-oriented programming, respectively. We then encounter Java, an extraordinarily popular language in the enterprise computing space.

Название: Pro Spring Boot 3: An Authoritative Guide with Best Practices, 3rd Edition
Автор: Felipe Gutierrez
Издательство: Apress
Год: 2024
Страниц: 935
Язык: английский
Формат: pdf
Размер: 17.5 MB

This book will teach you how to build complex Spring applications and microservices out of the box, with minimal concern over things like configurations. Pro Spring Boot 3 will show you how to fully leverage Spring Boot 3's robust features and how to apply them to create enterprise-ready applications, microservices, and web/cloud applications that just work. Special focus is given to what's been added in the new Spring Boot 3 release, including support for Java 17 and 19; changes to Spring Security; Spring Boot Actuator with Micrometer updates; GraalVM support; RSocket service interfaces; many dependency upgrades; more flexible support for Spring Data JDBC, the new AOT (Ahead-of-Time Transformation); and much more. This book is your authoritative, pragmatic guide for increasing your enterprise Java and cloud application productivity while decreasing development time. It's a no-nonsense reference packed with casestudies that increase in complexity over the course of the book. The author, a senior solutions architect and Principal Technical instructor with VMware, the company behind the Spring Framework, shares his experience, insights, and firsthand knowledge about how Spring Boot technology works and best practices for getting the most out of it. This is an essential book for your Spring learning and reference library. For experienced Spring and Java developers seeking increased productivity gains and decreased complexity and development time in their applications and software services.

Название: Professional Python: Object-Oriented Approaches to Efficient Software Development
Автор: Aria Thane
Издательство: Independently published
Год: 2024
Страниц: 240
Язык: английский
Формат: pdf, epub (true)
Размер: 10.7 MB

Embark on a transformative journey into the realm of Python programming with "Professional Python: Object-Oriented Approaches to Efficient Software Development." Tailored for the aspiring and seasoned developer alike, this book unfolds the expansive landscape of Python and its application in object-oriented programming (OOP) to sculpt software that stands the test of complexity and scale. From the foundational bricks of Python syntax to the architectural pillars of OOP, this guide walks you through each concept with clarity and depth. Object-oriented programming is not merely a programming paradigm; it's a way of thinking, a methodology that, when leveraged correctly, can lead to robust software design. This book is an endeavor to bridge this gap, to move beyond the basics of Python, and delve into the hows and whys of OOP, presenting it not just as a set of concepts, but as a toolkit for solving real-world software development challenges. Professional Python is crafted for a wide audience, from intermediate Python programmers who have grasped the fundamentals and are ready to dive deeper, to seasoned developers looking to refine and structure their understanding of OOP in Python. It assumes familiarity with Python's syntax and basic programming concepts, making it an ideal next step for those who wish to consolidate their skills and explore the application of OOP principles in Python to their projects. Educators and students will also find this book a valuable resource, offering a structured curriculum for teaching and learning Python's OOP features, complemented by examples, exercises, and real-world case studies. Furthermore, professionals transitioning to Python from other programming languages can leverage this book to fast-track their understanding of Pythonic OOP.

Название: Bayesian Machine Learning in Geotechnical Site Characterization
Автор: Jianye Ching
Издательство: CRC Press
Год: 2025
Страниц: 189
Язык: английский
Формат: pdf (true)
Размер: 27.1 MB

Bayesian data analysis and modelling linked with Machine Learning (ML) offers a new tool for handling geotechnical data. This book presents recent advancements made by the author in the area of probabilistic geotechnical site characterization. Two types of correlation play central roles in geotechnical site characterization: cross-correlation among soil properties and spatial-correlation in the underground space. The book starts with the introduction of Bayesian notion of probability “degree of belief”, showing that well-known probability axioms can be obtained by Boolean logic and the definition of plausibility function without the use of the notion “relative frequency”. It then reviews probability theories and useful probability models for cross-correlation and spatial correlation. Methods for Bayesian parameter estimation and prediction are also presented, and the use of these methods demonstrated with geotechnical site characterization examples. Bayesian Machine Learning in Geotechnical Site Characterization suits consulting engineers and graduate students in the area.

Название: Graphic Guide to R: with Processing.R 4 (Graphic Guide to Programming)
Автор: Antony Lees
Издательство: Devoniant
Год: 2024
Страниц: 424
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Ditch the text, unleash the graphic genius! This book is your key to mastering R through the captivating world of data visualization. With Processing's user-friendly interface, you'll be drawing shapes, animating scenes, and creating interactive experiences – all while mastering the power of R. Forget dry syntax; here, you'll grasp core concepts like variables, loops, and functions by bringing your ideas to life on the screen. Processing is a free, open-source, programming language based on the much larger R language. It focusses on the visual output of computer programs, designed for non-programmers, and those more experienced, to create visual graphics and animation. Processing includes everything needed to create and view graphics including an IDE (Integrated Development Environment) that can be used to create programs and graphics. Programming languages are often taught using text output like printing “Hello world!”. By using Processing, we can learn R with interesting graphics, giving immediate visual responses to the code you write, which is much more exciting! The book aims to teach the R programming language to both non-programmers and experienced programmers alike, allowing those who have not worked on computer programs before to become competent in the language and anyone to create some visually stunning graphics and animation using Processing, regardless of prior experience. You will soon discover that there are no real rules to creating graphics in Processing and that minor changes can yield unexpected results.

Название: Automating API Delivery: APIOps with OpenAPI (Final)
Автор: Ikenna Nwaiwu
Издательство: Manning Publications
Год: 2024
Страниц: 582
Язык: английский
Формат: epub
Размер: 18.9 MB

Improve speed, quality, AND cost by automating your API delivery process! Automating API Delivery shows you how to strike the perfect balance between speed and usability by applying DevOps automation principles to your API design and delivery process. It lays out a clear path to making both the organizational and technical changes you need to deliver high-quality APIs both rapidly and reliably. Author Ikenna Nwaiwu provides comprehensive guidance on implementing APIOps in your organization. He carefully walks through the technical steps and introduces the essential open-source tools, with practical advice and insights from his years of experience. You’ll benefit from his personal tips for avoiding common pitfalls and challenges of moving to automated API delivery. Create high quality, consistent, and fast-to-market APIs by automating the development process! This innovative book shows you how to apply established Continuous Delivery and DevOps principles along the whole API lifecycle, transforming a collection of individual tasks into a smooth, manageable pipeline that supports automated testing, iterative improvement, and reliable documentation. Automating API Delivery introduces the tools and strategies behind APIOps. You’ll discover tools and process improvements that give you important quick wins, including API governance using the Spectral API linter and establishing an efficient CI/CD pipeline with GitHub Actions. You’ll even discover how to use the powerful OpenAPI Generator to automatically create client and server code from your API definitions.