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Название: Code Gamers development 2 in 1 Value Bundle
Автор: A.E. Colonna
Издательство: Independently published
Год: 2023
ISBN: B0CPNPYMP6
Страниц: 547
Формат: PDF
Размер: 71 Mб
Язык: English

Create your very first video game without any prior coding experience!
Would you like to get ahold of simple, effective, and compatible steps that will enable you to be an excellent problem solver while game programming? Do you want to start game coding without worrying if you’re smart enough to get it right? If your answer is yes to any of these questions, you’ve got to read this book!

Название: Хакинг на С++
Автор: Ярошенко А.А.
Издательство: Наука и техника
Год: 2022
Формат: pdf
Размер: 17 Мб
Качество: Отсканированные страницы + слой распознанного текста
Язык: Русский

Наша книга не посвящена взлому информационных систем, поэтому если вы надеетесь с ее помощью взломать банк, сайт или еще что-либо, можете отложить ее в сторону. Но если вы хотите освоить программирование «взлома» на C++ и отойти от рутинных примеров, которых навалом в любом самоучителе, эта книга для вас. В ней мы не будем объяснять основы программирования на C++, т.к. считаем, что вы уже освоили азы и умеете пользоваться компилятором, чтобы откомпилировать программу.

Название: Implementing MLOps in the Enterprise: A Production-First Approach
Автор: Yaron Haviv, Noah Gift
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 377
Язык: английский
Формат: epub (true)
Размер: 15.5 MB

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production. Authors Yaron Haviv and Noah Gift take a production-first approach. Rather than beginning with the ML model, you'll learn how to design a continuous operational pipeline, while making sure that various components and practices can map into it. By automating as many components as possible, and making the process fast and repeatable, your pipeline can scale to match your organization's needs. You'll learn how to provide rapid business value while answering dynamic MLOps requirements. This book is for practitioners in charge of building, managing, maintaining, and operationalizing the Data Science process end to end: the heads of Data Science, heads of ML engineering, senior data scientists, MLOps engineers, and Machine Learning engineers. These practitioners are familiar with the nooks and crannies (as well as the challenges and obstacles) of the Data cience pipeline, and they have the initial technological know-how, for example, in Python, Pandas, Sklearn, and others.

Название: Machine Learning Interviews: Kickstart Your Machine Learning and Data Career (Final)
Автор: Susan Shu Chang
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 307
Язык: английский
Формат: epub (true)
Размер: 10.8 MB

As tech products become more prevalent today, the demand for Machine Learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. Having served as principal data scientist in several companies, Chang has considerable experience as both ML interviewer and interviewee. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way. You'll quickly understand how to successfully navigate your way through typical ML interviews. For software engineer, data analyst, or other tech/data professional who is transitioning into a role that focuses on ML day to day; for readers who have a basic knowledge of Python programming and ML theory and are curious to explore if entering the ML field could be a future career choice.

Название: Learning Vue: Core Concepts and Practical Patterns for Reusable, Composable, and Scalable User Interfaces (Final)
Автор: Maya Shavin
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 347
Язык: английский
Формат: epub (true)
Размер: 13.2 MB

Learn the core concepts of Vue.js, the modern jаvascript framework for building frontend applications and interfaces from scratch. With concise, practical, and clear examples, this book takes web developers step-by-step through the tools and libraries in the Vue.js ecosystem and shows them how to create complete applications for real-world web projects. You'll learn how to handle data communication between components with Pinia architecture, develop a manageable routing system for a frontend project to control the application flow, and produce basic animation effects to create a better user experience. The jаvascript framework plays a significant role in modern web frontend development. When developing web projects, companies choose a framework for various reasons, including the quality of the final product, the cost of development, coding standard, and ease of development. Hence, learning to work with a jаvascript framework, such as Vue, is essential for any modern web developer. This book is for programmers who want to learn and develop Web applications using Vue library, in jаvascript and TypeScript, from end to end. It focuses solely on how Vue and its ecosystem can help you build scalable and interactive web applications in the most straightforward and comfortable direction. While covering the basics, we will also get into Vue Router and Pinia for state management, testing, animation, deployment, and server-side rendering, making sure you are ready to move on and start developing complex Vue projects right away.

Название: Основы программирования на языке С (2020)
Автор(ы): Дорогов В.Г., Дорогова Е.Г.
Издательство: Форум
Год: 2020
Страниц: 225
Формат: PDF
Размер: 44 Мб
Язык: русский

Учебное пособие является начальным курсом программирования с примерами на языке С. Рассмотрены основы программирования, приемы и методы в стиле классического С. Может быть использовано как руководство по языку. Приводятся многочисленные примеры, оттестированные на компьютере.

Название: Frontend Development with JavaFX and Kotlin: Build State-of-the-Art Kotlin GUI Applications
Автор: Peter Späth
Издательство: Apress
Год: 2024
Страниц: 145
Язык: английский
Формат: pdf
Размер: 15.8 MB

Build elegant, responsive, and stable Java Virtual Machine-based client applications (Fat Clients) with modern user interfaces. This book introduces JavaFX as a frontend technology and utilizes Kotlin instead of Java for coding program artifacts to boost code expressiveness and maintainability. Author Peter Späth employs a hands-on approach, providing practical examples and code to demonstrate each concept. Mid-level Java programming knowledge and a basic understanding of Kotlin are the only prerequisites; experience with JavaFX and frontend coding is not essential. JavaFX is a modern frontend programming toolkit equipped with containers, menus, buttons, sliders, text fields, and various other controls necessary for communicating with your users, all of which are covered here. Despite its name, JavaFX applications can be coded with programming languages other than Java. The central requirement is that any language targeting JavaFX compiles to artifacts runnable on a Java Virtual Machine. Over the course of this book, you’ll learn firsthand why Kotlin, with its elegant and concise syntax, is a perfect match. For low- to mid-level Java or Kotlin developers with or without JavaFX experience who wish to learn how to build JavaFX applications with Kotlin.

Название: Deploy Container Applications Using Kubernetes: Implementations with microk8s and AWS EKS
Автор: Shiva Subramanian
Издательство: Apress
Год: 2023
Страниц: 379
Язык: английский
Формат: pdf
Размер: 11.5 MB

Navigate through the Kubernetes landscape to create and deploy container-based applications. This book will show you how to choose between the various available container-based operating systems, and how to design a better continuous integration pipeline for your container images, where to store them, and how to scan and secure them. In the first half of the book, you'll learn the practical tips on how to setup the system for visibility and troubleshooting, how to reduce the attack vector and reduce risks. The second half of the book focuses on Kubernetes, the popular container orchestration system. You'll see how to setup your Kubernetes for practical applications such as show/chargeback using tagging, efficient use of namespaces and pods, various isolation layers. It also shows you how to integrate with popular implementations of K8S such as AWS EKS (Elastic Container Service), GCP Google Kubernetes Engine (GKE) in touch points such as authentication and authorization, optimization, logging and troubleshooting tools, etc.
By practicing the scenarios given in this book, you will be able to make better design choices that are appropriate for the constraints you are working with. Deploy Container Applications Using Kubernetes is your go-to resource for an optimal deployment of workloads using containers and Kubernetes in both public and private cloud settings.

Название: Machine Learning for Engineers
Автор: Osvaldo Simeone
Издательство: Cambridge University Press
Год: 2023
Страниц: 602
Язык: английский
Формат: pdf (true)
Размер: 17.0 MB

This self-contained introduction to Machine Learning, designed from the start with engineers in mind, will equip students with everything they need to start applying Machine Learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes: an accessible overview of the relationships betweenMachine Learning and signal processing, providing a solid foundation for further study; clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices; demonstration of the links between information-theoretical concepts and their practical engineering relevance; reproducible examples using MATLAB, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slides and solutions for instructors, this is the ideal introduction to Machine Learning for engineering students of all disciplines. Advances in Machine Learning and Artificial Intelligence (AI) have made available new tools that are revolutionizing science, engineering, and society at large. Modern Machine Learning techniques build on conceptual and mathematical ideas from stochastic optimization, linear algebra, signal processing, Bayesian inference, as well as information theory and statistical learning theory. Students and researchers working in different fields of engineering are now expected to have a general grasp of Machine Learning principles and algorithms, and to be able to assess the relative relevance of available design solutions spanning the space between model-and data-based methodologies. This book is written with this audience in mind.

Название: Python-Based Data Structures and Algorithms
Автор: Team Educohack
Издательство: Educohack Press
Год: 2024
Страниц: 1071
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

"Python-Based Data Structures and Algorithms" is a comprehensive guide to mastering the fundamental concepts of algorithms and data structures using the Python programming language. Covering a wide spectrum, from algorithm analysis and problem complexity to computational complexity, this book equips readers with the essential skills for effective programming. Whether you're a novice or an experienced developer, this resource provides practical insights into implementing algorithms and data structures in Python. With a focus on clarity and efficiency, it's an invaluable reference for anyone looking to enhance their programming proficiency and tackle real-world challenges in algorithmic problem-solving. Our journey begins with a solid foundation in Python, a programming language renowned for its simplicity and readability. You'll then delve into the core principles of data structures, exploring concepts like arrays, linked lists, stacks, and queues. Understanding these fundamental structures is essential for building efficient algorithms. Next, we'll explore various algorithmic techniques that will empower you to solve real-world problems. Whether it's sorting, searching, or graph algorithms, you'll have a comprehensive understanding of how to approach and implement solutions using Python. Throughout this book, you'll gain insights into computational complexity, which is crucial for evaluating the efficiency of algorithms. We'll discuss both time and space complexities and help you analyze the performance of your code.