Название: ScyllaDB in Action (Final Release)
Автор: Bo Ingram
Издательство: Manning Publications
Год: 2025
Страниц: 394
Язык: английский
Формат: pdf (true)
Размер: 10.9 MB

Build, maintain, and run databases that are easy to scale and quick to query—all with ScyllaDB. ScyllaDB in Action is your guide to everything you need to know about ScyllaDB, from your very first queries to running it in a production environment. It starts you with the basics of creating, reading, and deleting data and expands your knowledge from there. You'll soon have mastered everything you need to build, maintain, and run an effective and efficient database. This book teaches you ScyllaDB the best way—through hands-on examples. Dive into the node-based architecture of ScyllaDB to understand how its distributed systems work, how you can troubleshoot problems, and how you can constantly improve performance. ScyllaDB is a versatile NoSQL database that can move large volumes of data fast. Very, very, very fast. This drop-in replacement for Cassandra takes full advantage of modern multi-core hardware and scales to handle large real-time data workloads with incredibly low latency. It features built-in monitoring and management tools, and its efficient use of computing resources can save a lot of money on high-volume applications. ScyllaDB in Action is written for anyone looking to learn ScyllaDB or work with it. To get the best out of it, you should have some basic familiarity with SQL. You’ve probably written a SELECT statement before, and that knowledge will assist you throughout the book as you learn about Scylla. If you’re a database expert, that’s okay too! You’ll get to break some habits and pick up some new ones to effectively use ScyllaDB. You should also have some experience with a programming language—preferably Python, as you’ll use it to build the sample application to learn about the database driver and its client-side features.

Название: Advanced ASP.NET Core 8 Security: Move Beyond ASP.NET Documentation and Learn Real Security, 2nd Edition
Автор: Scott Norberg
Издательство: Apress
Год: 2024
Страниц: 459
Язык: английский
Формат: pdf
Размер: 10.1 MB

Most .NET developers do not incorporate security best practices when creating websites. The problem? Even if you use all of the best practices that the ASP.NET team recommends, you are still falling short in several key areas due to issues within the framework itself. And most developers don’t use all of the best practices that are recommended. If you are interested in truly top-notch security, available sources don’t give you the information you need. Most blogs and other books simply state how to use the configurations within ASP.NET, but do not teach you security as understood by security professionals. Online code samples aren't much help because they are usually written by developers who aren’t incorporating security practices. This book solves those issues by teaching you security first, going over software best practices as understood by security professionals, not developers. Then it teaches you how security is implemented in ASP.NET. With that foundation, it dives into specific security-related functionality and discusses how to improve upon the default functionality with working code samples. And you will learn how security professionals build software security programs so you can continue building software security best practices into your own Secure Software Development Life Cycle (SSDLC). For software developers who have experience creating websites in ASP.NET and want to know how to make their websites secure from hackers and security professionals who work with a development team that uses ASP.NET. To get the most out of this book, you should already have a basic understanding of web programming and ASP.NET, including creating new projects, creating pages, and using jаvascript.

Автор: Вика Минасян
Название: Аудиосказки для развития эмоционального интеллекта с самого рождения
Читает: Вика Минасян
Издательство: Интернет-издание
Год издания: 2024
Формат: MP3
Аудио: MP3, 64 Кбит/с
Продолжительность: долго
Язык: Русский
Размер файла: 440 Mb

Эти сказки прекрасно подойдут для прослушивания деткам в возрасте от 6 месяцев до 7-8 лет.

Название: Будущий взрослый. Пособие по мягкому взрослению
Автор: Вика Минасян
Издательство: Интернет-издание
Год: 2024
Формат: PDF
Страниц: 129
Размер: 22 Mb
Язык: Русский

Пособие подходит для родителей детей возраста от 0 до 7 лет. Потому что именно в этом возрасте закладывается сценарий будущего ребёнка и активно формируется самооценка.

Название: Elettronica In N.281 2024
Издательство: FUTURA GROUP srl
Год: 2024
Месяц: October-November
Номер: №281
Страниц: 164
Язык: Italiano
Формат: PDF
Размер: 32 Mб

Ежемесячный журнал по электронному дизайну с образовательной и информационной целью, предназначенный для тех, кто работает в области электронного дизайна

Название: Рецепты PHP. Для профессиональных разработчиков
Автор: Эрик Манн
Издательство: Питер
Год: 2024
Формат: PDF/epub
Страниц: 432
Размер: 11 Mb
Язык: Русский

В этом сборнике рецептов разработчики на PHP найдут надежные и проверенные решения распространенных задач. PHP — удивительно простой язык программирования, что объясняет, почему на нем написано более 75 % веб-сайтов в Интернете. Но он также невероятно терпим к ошибкам программирования, что может привести к тиражированию сомнительного кода.

Название: FMD осень 2024
Автор: Сергей Леонов
Издательство: Интернет-издание
Год: 2024
Формат: PDF/mp4
Страниц: Много
Размер: 769 Mb
Язык: Русский

«FMD осень» — это уникальный 5-дневный марафон, основанный на доказательных научных данных о питании по FMD-протоколу в авторском и очень вкусном исполнении от Сергея Леонова. Третий поток, осенний сезон и абсолютно новое меню!

Название: Learn Generative AI with PyTorch (Final Release)
Автор: Mark Liu
Издательство: Manning Publications
Год: 2024
Страниц: 434
Язык: английский
Формат: pdf (true)
Размер: 44.8 MB

Learn how generative AI works by building your very own models that can write coherent text, create realistic images, and even make lifelike music. Learn Generative AI with PyTorch teaches the underlying mechanics of Generative AI by building working AI models from scratch. Throughout, you’ll use the intuitive PyTorch framework that’s instantly familiar to anyone who’s worked with Python data tools. Along the way, you’ll master the fundamentals of General Adversarial Networks (GANs), Transformers, Large Language Models (LLMs), variational autoencoders, diffusion models, LangChain, and more! The generative AI projects you create use the same underlying techniques and technologies as full-scale models like GPT-4 and Stable Diffusion. You don’t need to be a Machine Learning expert—you can get started with just some basic Python programming skills. Transformers, Generative Adversarial Networks (GANs), diffusion models, LLMs, and other powerful Deep Learning patterns have radically changed the way we manipulate text, images, and sound. Generative AI may seem like magic at first, but with a little Python, the PyTorch framework, and some practice, you can build interesting and useful models that will train and run on your laptop. This book shows you how. Examples use simple Python. No Deep Learning experience required.

Название: Здоровые дети = Счастливые взрослые
Автор: Ирина Выборнова, Наталья Скороходова
Издательство: Интернет-издание
Год: 2024
Формат: PDF/mp3/ogg
Страниц: много
Размер: 274 Mb
Язык: Русский

Новый проект Ирины Выборновой при участии врача педиатра, гастроэнтеролога, члена союза Педиатров России, ассоциации врачей Preventage Н.А. Скороходовой.

Название: Scientific dаta: A 50 Steps Guide using Python
Автор: Matthias Hofmann
Издательство: De Gruyter
Год: 2024
Страниц: 234
Язык: английский
Формат: pdf (true), epub
Размер: 32.7 MB

"Scientific dаta: A 50 Steps Guide using Python" is your guide towards experimental scientific data. It aims to bridge the gap between classical natural sciences as taught in universities and the ever-growing need for technological/digital capabilities, particularly in industrial research. Topics covered include instructions for setting up a workspace, guidelines for structuring data, examples for interfacing with results files and suggestions for drawing scientific conclusions therefrom. Additionally, concepts for designing experiments and visualizing the corresponding results are highlighted next to ways of extracting meaningful characteristics and leveraging those in terms of multi-objective optimizations. The concise problem-solution-discussion structure used throughout supported by Python code snippets emphasizes the work's focus on practitioners. This guide will provide you with a solid understanding of how to process and understand experimental data within a natural scientific context while ensuring sustainable use of your findings and processing as seen through a programmer's eyes.