Название: Осеннее меню
Автор: Катя Янг, Юлия Лодыгина
Издательство: Интернет-издание
Год: 2024
Формат: PDF
Страниц: 27
Размер: 6 Mb
Язык: Русский

27 страниц вкусных и полезных блюд для домашнего приготовления. Меню на неделю: 7 завтраков, 7 обедов, 7 ужинов. Варианты замен продуктов.

Название: Android Studio Koala Essentials - Kotlin Edition: Developing Android Apps Using Android Studio Koala Feature Drop and Kotlin
Автор: Neil Smyth
Издательство: Payload Media
Год: 2024
Страниц: 845
Язык: английский
Формат: epub
Размер: 45.0 MB

Unlock the Full Potential of Android Development. Are you ready to create powerful, modern Android apps using Kotlin? This comprehensive guide, fully updated for the Android Studio Koala Feature Drop (2024.1.2), is your ultimate companion to mastering Android app development from start to finish. Get Started with Confidence: From setting up your Android development and testing environment to mastering the fundamentals of Kotlin, including data types, control flow, functions, lambdas, and object-oriented programming, we’ll guide you every step of the way. Dive Deep into Advanced Techniques: Learn asynchronous programming with Kotlin coroutines and flow, and gain expertise in Android Architecture Components such as view models, lifecycle management, Room database access, app navigation, live data, and more. Master Essential Android Features: Develop skills in handling touch screens, gesture recognition, audio playback, and recording, and explore advanced functionalities like intents, printing, transitions, and foldable device support. Why This Book? Whether you’re a seasoned developer ready to elevate your Android skills or an experienced programmer eager to explore new horizons, this book offers everything you need to succeed. Packed with practical examples and expert insights, it’s designed to transform your app ideas into reality.

Название: Better APIs : Quality, Stability, Observability
Автор: Mikael Vesavuori
Издательство: Leanpub
Год: 2024-08-24
Страниц: 100
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Master the art of building high-quality, stable, and observable APIs with this hands-on guide—perfect for developers and architects looking to elevate their API game and ensure their projects are reliable, maintainable, and scalable. This book is a practical guide to improving the quality, stability, and observability of your APIs. Through a combination of theoretical insights and a hands-on example project, you'll learn how to create and maintain production-grade APIs that meet high standards of excellence. Better APIs: Quality, Stability, Observability is designed for developers and architects who want to deepen their understanding of API development and ensure their APIs are reliable, maintainable, and easy to monitor. APIs are the backbone of modern software architecture, and ensuring they are of high quality, stable, and observable is critical to the success of any software project. This book provides you with the tools and knowledge to create APIs that meet these criteria, helping you avoid common pitfalls and ensuring your APIs can scale and evolve over time. Whether you're looking to refine your existing APIs or build new ones from scratch, Better APIs: Quality, Stability, Observability will provide you with the insights and techniques you need to succeed and create APIs that are not only functional but also robust, maintainable, and easy to monitor.

Название: A Common-Sense Guide to Data Structures and Algorithms in jаvascript: Level Up Your Core Programming Skills, Volume 1
Автор: Jay Wengrow
Издательство: Pragmatic Bookshelf
Год: August 2024 (P1.0)
Страниц: 516
Язык: английский
Формат: epub
Размер: 10.1 MB

If you thought data structures and algorithms were all just theory, you're missing out on what they can do for your jаvascript code. Learn to use Big O notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your code's efficiency exponentially. With simple language and clear diagrams, this book makes this complex topic accessible, no matter your background. Every chapter features practice exercises to give you the hands-on information you need to master data structures and algorithms for your day-to-day work. Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today's web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. The jаvascript edition uses jаvascript exclusively for all code examples, exercises, and solutions. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You'll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your jаvascript code faster and more scalable.

Название: Покарання
Автор: Фердинанд фон Ширах
Изд-во: Х.: «КСД»
Год: 2019
К-во стр.: 192
Формат:pdf/djvu
Размер: 15,64 Мб
Язык: українська

Закон потребує людей, а не машин, які виносять вироки.
Чи завжди адвокат стовідсотково переконаний у невинуватості свого підзахисного? Важко сказати. Беручись за нову справу, ніколи не знаєш, хто перед тобою — жертва обставин чи вбивця. Жінка, що застрелила свого чоловіка. Мати, яка занапастила власну дитину. Чоловік, що систематично бив свою дружину. Є факти, докази та свідки на підтвердження злочину. І ви вже готові винести вирок. Проте не кваптеся передчасно звинувачувати й засуджувати. Навіть скривавлене знаряддя вбивства в руках людини ще не робить її вбивцею…

Название: A Knot a Day: 365 Knot Challenges for All Abilities
Автор: Nic Compton
Издательство: Adlard Coles
Год: February 9, 2021
Размер: 230 Мб
Формат: EPUB
Страниц: 368
Язык: Английский

В этом прекрасно оформленном сборнике вы найдете задания по вязанию узлов на каждый день в году. На выбор предлагаются сотни вариантов, все они имеют цветовую маркировку в зависимости от назначения, так что вы можете изучить книгу от начала до конца, постепенно расширяя свои знания по ходу работы, или, наоборот, углубляясь в ежедневную работу по завязыванию узлов. Вы не забудете эту книгу, не научившись чему-то новому, и не отложите ее, не узнав интересного факта или полезного приема. Через месяц вы станете фанатиком вязания узлов; через год вы станете мастером в этом деле!

Название: The Art of Crochet with Sock Weight Yarn: 15 Stunning Patterns Inspired by Indie Dyers and Small-Batch Skeins
Автор: Kaitlin Ostafew
Издательство:
Год: September 3, 2024
Размер: 99 Мб
Формат: PDF
Страниц: 136
Язык: Английский

Вязание крючком из красивой пряжи ручной окраски. 15 моделей вязания крючком от Kaitlin Ostafew, дизайнера по вязанию крючком, созданы для того, чтобы подчеркнуть лучшие свойства легкой и деликатной пряжи, чтобы вы могли создавать высококачественную одежду и аксессуары любого цвета, о котором вы мечтали. Простые инструкции помогут вам стать профессионалом в вязании крючком.

Название: Deep Generative Modeling, 2nd Edition
Автор: Jakub M. Tomczak
Издательство: Springer
Год: 2024
Страниц: 325
Язык: английский
Формат: pdf (true), epub
Размер: 50.2 MB

This first comprehensive book on models behind Generative AI has been thoroughly revised to cover all major classes of deep generative models: mixture models, Probabilistic Circuits, Autoregressive Models, Flow-based Models, Latent Variable Models, GANs, Hybrid Models, Score-based Generative Models, Energy-based Models, and Large Language Models. In addition, Generative AI Systems are discussed, demonstrating how deep generative models can be used for neural compression, among others. Deep Generative Modeling is designed to appeal to curious students, engineers, and researchers with a modest mathematical background in undergraduate calculus, linear algebra, probability theory, and the basics of Machine Learning, Deep Learning, and programming in Python and PyTorch (or other Deep Learning libraries). It should find interest among students and researchers from a variety of backgrounds, including computer science, engineering, Data Science, physics, and bioinformatics who wish to get familiar with deep generative modeling. In order to engage with a reader, the book introduces fundamental concepts with specific examples and code snippets. The full code accompanying the book is available on the author's GitHub site.

Название: Deep Learning with PyTorch : Step-by-Step A Beginner's Guide
Автор: Daniel Voigt Godoy
Издательство: Leanpub
Год: 2024-07-29: v1.2
Страниц: 1047
Язык: английский
Формат: pdf (true)
Размер: 33.5 MB

If you're looking for a book where you can learn about Deep Learning and PyTorch without having to spend hours deciphering cryptic text and code, and that's easy and enjoyable to read, this is it. This is not a typical book: most tutorials start with some nice and pretty image classification problem to illustrate how to use PyTorch. It may seem cool, but I believe it distracts you from the main goal: how PyTorch works? In this book, I present a structured, incremental, and from first principles approach to learn PyTorch (and get to the pretty image classification problem in due time). PyTorch is the fastest-growing framework for developing Deep Learning models and it has a huge ecosystem. That is, there are many tools and libraries developed on top of PyTorch. It is the preferred framework in academia already and is making its way in the industry. This book aims to get you started with PyTorch while giving you a solid understanding of how it works. In this book, I will guide you through the development of many models in PyTorch, showing you why PyTorch makes it much easier and more intuitive to build models in Python: autograd, dynamic computation graph, model classes and much, much more. I wrote this book for beginners in general—not only PyTorch beginners. Every now and then, I will spend some time explaining some fundamental concepts that I believe are essential to have a proper understanding of what’s going on in the code.

Название: Automate Your Home Using Go: Build a Personal Data Center with Raspberry Pi, Docker, Prometheus, and Grafana
Автор: Ricardo Gerardi, Mike Riley
Издательство: Pragmatic Bookshelf
Год: August 2024 (v.P1.0)
Страниц: 275
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Take control of your home and your data with the power of the Go programming language. Build extraordinary and robust home automation solutions that rival much more expensive, closed commercial alternatives, using the same tools found in high-end enterprise computing environments. Best-selling Pragmatic Bookshelf authors Ricardo Gerardi and Mike Riley show how you can use inexpensive Raspberry Pi hardware and excellent, open source Go-based software tools like Prometheus and Grafana to create your own personal data center. Using the step-by-step examples in the book, build useful home automation projects that you can use as a blueprint for your own custom projects. With just a Raspberry Pi and the Go programming language, build your own personal data center that coordinates and manages your home automation, leveraging the same high-powered software used by large enterprises. The projects in this book are easy to assemble, no soldering or electrical engineering expertise required. Our objective for the book was to avoid as much electrical engineering and wiring as possible. You can complete each project in this book without ever picking up a soldering gun. While it’s commendable to use one for appropriate cases, this book focuses more on software than hardware. We also didn’t want to have hardware components fail as a result of poor soldering or confusing wiring diagrams, so we opted to make the hardware configuration for these projects as simple as possible to avoid any frustration or expensive mistakes. This book is for developers familiar with the Go programming language who want to do more with it than just the usual integration and microservices that Go is typically used for. It is also for home automation tinkerers and electronics hobbyists interested in learning how a language like Go can be more powerful and make software projects easier to build and maintain, especially when compared to other languages used in home automation like Perl and Python.