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Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Hallo .NET 8.0: Practical ASP.NET Core Minimal API
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Название: Hallo .NET 8.0: Practical ASP.NET Core Minimal API
Автор: Agus Kurniawan
Издательство: Leanpub
Год: 16 December 2023
Страниц: 303
Язык: английский
Формат: pdf, epub
Размер: 10.7 MB

Dive into Hallo .NET 8.0: Practical ASP.NET Core Minimal API to master web development with 20 hands-on labs. From basics to advanced features, this guide is your key to unlocking the powerful capabilities of ASP.NET Core 8.0. Start your journey today! Hallo .NET 8.0: Practical ASP.NET Core Minimal API is a meticulously crafted guide that takes you on an explorative journey into the world of ASP.NET Core 8.0. Designed for a broad audience, from beginners to seasoned developers, this book dives deep into the practical aspects of Minimal API development. It starts with an introductory section that sets the foundation, highlighting the evolution and significance of Minimal APIs in the .NET framework. The core of the book is structured into comprehensive sections covering ASP.NET Core Minimal API development, database integrations, and critical aspects of web security. It stands out with its 20 hands-on lab exercises, each carefully designed to reinforce learning through practical application. From setting up development environments and building your first API to delving into complex topics like data security and efficient database handling, the book ensures a thorough understanding of each concept. In its final chapters, the book transitions into crucial topics like monitoring and deployment, preparing readers to not only build but also sustain and optimize applications in real-world settings. This section is pivotal for understanding the lifecycle of web applications and equips readers with the skills to deploy and maintain their projects effectively.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Mastering GitHub Enterprise Management and Administration: A Guide for Seamless Management and Collaboration
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Название: Mastering GitHub Enterprise Management and Administration: A Guide for Seamless Management and Collaboration
Автор: Balu Nivrutti Ilag, AjayKumar P. Baljoshi, Ganesh J. Sangale, Yogesh Athave
Издательство: Apress
Год: 2024
Страниц: 881
Язык: английский
Формат: pdf (true), epub
Размер: 19.7 MB

This book is a comprehensive guide to GitHub Enterprise Cloud and provides a detailed overview of how to set up, manage, administer, and configure GitHub for organizations. In addition to this, you will also learn identity management and the CI/CD pipeline. The book starts with a thorough introduction to GitHub administration and its benefits. You will then learn how to set up and manage a GitHub Enterprise account and organization, guiding administrators through each step. Next, you will go through GitHub Repository Secure Management and Best Practices along with an understanding of how to manage access to GitHub using SAML SSO. GitHub enterprise support strategies and their usage and adoption are discussed next in detail. Moving ahead, you will learn about GitHub Action and Packages followed by GitHub Copilot management. How to automate repetitive tasks and workflows using GitHub Actions and enhancing productivity is discussed in detail with the help of case studies. Towards the end, you will demonstrate securing the software development lifecycle through advanced security and use GitHub Actions for automating business processes. After reading this book, you will be able to leverage the full potential of GitHub Enterprise Cloud for your software development needs. For Software Development teams, DevOps engineers, and IT professionals who are looking to use GitHub Enterprise Cloud for code collaboration, management, and deployment.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Mastering REST APIs: Boosting Your Web Development Journey with Advanced API Techniques
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Название: Mastering REST APIs: Boosting Your Web Development Journey with Advanced API Techniques
Автор: Sivaraj Selvaraj
Издательство: Apress
Год: 2024
Страниц: 546
Язык: английский
Формат: pdf (true), azw3, epub, mobi
Размер: 10.1 MB

Embark on a transformative journey into the nuances of API design and implementation. This comprehensive guide will equip you with the prowess to craft APIs that exemplify excellence, optimize performance, fortify security, and elevate user experience. From grasping the core tenets of REST architecture to navigating diverse frameworks like Node.js with Express, Ruby on Rails, Django, Laravel with PHP, ASP.NET Core with C#, and Spring Boot with Java, this compendium empowers you to create APIs that set new industry benchmarks. In-depth tutorials will empower you to master data serialization, robust authentication protocols, and impervious security measures. This book also delves into the more advanced topics encompassing API governance, meticulous versioning strategies, cross-origin resource sharing (CORS) considerations, real-time capabilities, and microservices communication intricacies. You'll gain insights into vigilant monitoring, astute analytics, and optimization techniques that truly differentiate your APIs. Moreover, this book navigates the ever-evolving legal and privacy landscape confidently, ensuring compliance and upholding user trust, and provides the expertise needed to craft more efficient APIs that stand at the forefront of modern digital innovation. For experienced web developers, software engineers, and tech enthusiasts who are looking to supercharge their API development knowledge and take it to the next level.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Реальная криптография
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Название: Реальная криптография
Автор: Вонг Д.
Издательство: питер
Год: 2024
Формат: PDF
Страниц: 434
Размер: 74 Mb
Язык: Русский

Изучите приемы, которые используют разработчики, системные администраторы и специалисты по безопасности в своей повседневной работе. Вы не встретите ни сложных математических выкладок, ни умопомрачительного жаргона: современные криптографические методы рассматриваются с помощью понятных графиков и практических примеров. Познакомьтесь с хеш-функциями и подписями, криптографическими протоколами и безопасным обменом сообщениями, а также с передовыми достижениями, такими как постквантовая криптография и криптовалюты. Читать «Реальную криптографию» одно удовольствие и, возможно, она спасет, когда в следующий раз злоумышленники покусятся на ваши данные.



Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Нечеткое сопоставление данных в SQL
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Название: Нечеткое сопоставление данных в SQL
Автор: Лемер Д.
Издательство: питер
Год: 2024
Формат: PDF
Страниц: 290
Размер: 19 Mb
Язык: Русский

Вы получили два разных, но связанных между собой набора данных? Что делать? Какие инструменты использовать для поиска совпадений? А если все, что у вас есть, — это доступ к базе данных с помощью запроса SQL SELECT? Джим Лемер познакомит вас с лучшими практиками, техниками и хитрыми приемами, которые помогут импортировать, очищать, сопоставлять, оценивать и осмысливать разнородные данные с помощью SQL.



Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Машинное обучение с PyTorch и Scikit-Learn
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Название: Машинное обучение с PyTorch и Scikit-Learn
Автор: Лю Юси (Хэйден), Мирджалили Вахид
Издательство: бхв
Год: 2023
Формат: PDF
Страниц: 690
Размер: 85 Mb
Язык: Русский

Исчерпывающее руководство по машинному (МО) и глубокому обучению с использованием языка программирования Python, фреймворка PyTorch и библиотеки scikit-learn. Рассмотрены основы МО, алгоритмы для задач классификации, классификаторы на основе scikit-learn, предварительная обработка и сжатие данных, современные методы оценки моделей и объединение различных моделей для ансамблевого обучения.



Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Введение в статистическое обучение с примерами на Python
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Название: Введение в статистическое обучение с примерами на Python
Автор: Джеймс Г., Уиттон Д., Хасти Т., Тибширани Р.
Издательство: дмк
Год: 2024
Формат: PDF
Страниц: 848
Размер: 21 Mb
Язык: Русский

Книга доступным для восприятия языком описывает все разнообразие форм статистического обучения – полезного инструментария для извлечения выводов из огромных наборов данных, появившихся в последние 20 лет в самых разных областях науки. В дополнение к линейной регрессии описываются многие из наиболее значимых на сегодняшний день подходов в статистике и машинном обучении, включая методы повторной выборки, разреженные методы классификации и регрессии, обобщенные аддитивные модели, методы на основе деревьев, машины опорных векторов, глубокое обучение, анализ выживаемости или надежности, кластеризацию и множественную проверку гипотез. Повествование в книге обогащается примерами из реальной жизни. Книга предназначена не только для опытных специалистов в области статистики, но и для тех, кто желает попробовать применить продвинутые техники статистического обучения при анализе своих данных.



Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Neural Networks for Beginners: Unlock the Secrets of Neural Networks. A Beginner's Guide to AI's Most Powerful Tool
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Название: Neural Networks for Beginners: Unlock the Secrets of Neural Networks. A Beginner's Guide to AI's Most Powerful Tool
Автор: James Ferry
Издательство: Independently published
Год: 2024
Страниц: 102
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

"Neural Networks for Beginners: Unlock the Secrets of Neural Networks" is your essential guide to understanding and mastering one of artificial intelligence's most powerful tools. Whether you're new to the world of neural networks or looking to deepen your understanding, this beginner-friendly book demystifies complex concepts and empowers you to harness the full potential of neural networks. From the fundamentals of neural network architecture to practical applications in image recognition, natural language processing, and beyond, this book covers everything you need to know to get started. You'll learn about neurons, layers, activation functions, and the training process, gaining a solid foundation in the building blocks of neural networks. With step-by-step instructions and real-world examples, you'll discover how to implement neural networks using popular Python libraries like TensorFlow and Keras. Whether you're building your first neural network or exploring advanced techniques, this book provides clear guidance and hands-on exercises to help you succeed. But Neural Networks for Beginners goes beyond the basics. It also explores the challenges and limitations of neural networks, including data quality, interpretability, and ethical considerations. Plus, you'll get a glimpse into the future of neural networks, with insights into emerging trends like explainable AI and quantum neural networks.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Scientific Computing with Python: Mastering Numpy and Scipy
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Название: Scientific Computing with Python: Mastering Numpy and Scipy
Автор: John Smith
Издательство: HiTeX Press
Год: 2024
Страниц: 348
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

"Scientific Computing with Python: Mastering Numpy and Scipy" is a comprehensive guide designed to equip readers with the knowledge and skills necessary for efficient numerical computations and data analysis. Whether you're a beginner or an advanced user, this book delves into essential topics such as array manipulation, advanced Numpy techniques, and the vast functionalities of Scipy, including optimization, linear algebra, signal processing, and statistical analysis. Each chapter builds on the previous one, offering detailed explanations, practical examples, and best practices. With an emphasis on real-world applications and case studies, this book is an invaluable resource for researchers, engineers, data scientists, and educators aiming to excel in the field of scientific computing. Discover the power of Python's robust libraries and elevate your computational skills to solve complex scientific problems. The content of this book is meticulously structured into chapters, each focusing on an essential and unique topic. The initial chapters introduce the role of Python in scientific computing, followed by getting started with Numpy and moving on to more advanced Numpy techniques. Subsequent chapters provide an introduction to Scipy, explore linear algebra, optimization, integration, differentiation, signal processing, and statistics using Scipy. The final chapter is dedicated to practical applications and case studies, demonstrating the real-world use of the concepts and techniques discussed.


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Computation and Simulation for Finance: An Introduction with Python
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Название: Computation and Simulation for Finance: An Introduction with Python
Автор: Cónall Kelly
Издательство: Springer
Год: 2024
Страниц: 330
Язык: английский
Формат: pdf (true), epub
Размер: 31.3 MB

This book offers an up-to-date introductory treatment of computational techniques applied to problems in finance, placing issues such as numerical stability, convergence and error analysis in both deterministic and stochastic settings at its core. The first part provides a welcoming but nonetheless rigorous introduction to the fundamental theory of option pricing, including European, American, and exotic options along with their hedge parameters, and combines a clear treatment of the mathematical framework with practical worked examples in Python. The second part explores the main computational methods for valuing options within the Black-Scholes framework: lattice, Monte Carlo, and finite difference methods. The third and final part covers advanced topics for the simulation of financial processes beyond the standard Black-Scholes setting. Techniques for the analysis and simulation of multidimensional financial data, including copulas, are covered and will be of interest to those studying Machine Learning for finance. There is also an in-depth treatment of exact and approximate sampling methods for stochastic differential equation models of interest rates and volatilities. Written for advanced undergraduate and masters-level courses, the book assumes some exposure to core mathematical topics such as linear algebra, ordinary differential equations, multivariate calculus, probability, and statistics at an undergraduate level. While familiarity with Python is not required, readers should be comfortable with basic programming constructs such as variables, loops, and conditional statements. We choose Python as our language of instruction, reflecting its growing usage among quantitative analysts. Experience with Python is not assumed, though readers should be familiar with basic programming constructs such as variables, loops, and conditional statements.