Название: Tao of Node: Get from Beginner to Intermediate Node.js Development by Learning About Architecture, Tooling, Testing and Performance (2023 edition)
Автор: Alex Kondov
Издательство: Independently published
Год: June 11, 2022
Страниц: 200
Язык: английский
Формат: pdf
Размер: 67.6 MB

Tao of Node: Your Bridge from Beginner to Intermediate Node.js Development. Are you a beginner in Node.js, having grasped the fundamentals and now wondering where to go next? "Tao of Node" is crafted precisely for you, guiding you to the intermediate level by helping you understand the core principles of software design. This book doesn't teach Node.js from scratch; instead, it builds on the foundational knowledge you already have, steering you to form the right principles to excel in Node.js development. For beginners in Node.js who are eager to advance to the intermediate level. Developers who have a basic understanding of a router like Express and experience with any kind of database. Individuals who have undertaken a personal project and are looking to enhance it with the best practices in Node.js development.

Название: Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs
Автор: Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada
Издательство: Apress
Год: 2023
Страниц: 221
Язык: английский
Формат: pdf (true), epub
Размер: 10.9 MB

This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in understanding and applying this transformative technology and is particularly aimed at those just getting started with generative AI. Applied Generative AI for Beginners is structured around detailed chapters that will guide you from foundational knowledge to practical implementation. It starts with an introduction to generative AI and its current landscape, followed by an exploration of how the evolution of neural networks led to the development of large language models. The book then delves into specific architectures like ChatGPT and Google Bard, offering hands-on demonstrations for implementation using tools like Sklearn. You’ll also gain insight into the strategic aspects of implementing generative AI in an enterprise setting, with the authors covering crucial topics such as LLMOps, technology stack selection, and in-context learning. The latter part of the book explores generative AI for images and provides industry-specific use cases, making it a comprehensive guide for practical application in various domains. For data scientists, AI practitioners, researchers and software engineers interested in generative AI and LLMs.

Название: Designing Microservices (MEAP v5)
Автор: S. Ramesh
Издательство: Manning Publications
Год: 2023
Страниц: 251
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Start your microservices projects right! Choosing the best design patterns, tools, deployment strategies, and team structure will maximize innovation, agility, time to market, and reliability. Microservices designs allow individual components to be built and deployed as independent, single-purpose applications, each with its own data store. This approach can deliver business agility and software reliability, or it can easily flop without careful attention to APIs, communication, and cross-service concerns like transactions, state, and long-term maintenance. Designing Microservices teaches a reliable and repeatable design process to ensure you’re always getting the results you want from microservices. It introduces a lightweight DDD-inspired design tool that simplifies the modeling of your architecture that will be instantly familiar to anyone who’s worked with UML and responsibility mapping. You’ll learn to handle multi-faced commits across microservices, to refactor and deploy legacy apps without service downtime, and how to manage service patterns like consumer driven contracts. Easy-to-grok illustrations and explanations cut through the buzzwords and offer clear solutions for analytics, monitoring, testing, and more. For software architects, managers, analysts, and developers of all skill levels. No previous experience building microservices required.

Название: Unsupervised Learning with Generative AI (MEAP v7)
Автор: Vaibhav Verdhan
Издательство: Manning Publications
Год: 2023
Страниц: 374
Язык: английский
Формат: epub
Размер: 10.1 MB

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. Unsupervised Learning with Generative AI introduces mathematical techniques, key algorithms, and Python implementations that will help you build machine learning models for unannotated data. You’ll discover hands-off and unsupervised machine learning approaches that can still untangle raw, real-world datasets and support sound strategic decisions for your business. Don’t get bogged down in theory—the book bridges the gap between complex math and practical Python implementations, covering end-to-end model development all the way through to production deployment. You’ll discover the business use cases for machine learning and unsupervised learning, and access insightful research papers to complete your knowledge. Unsupervised Learning with Generative AI teaches you to apply a full spectrum of machine learning algorithms to raw data. You’ll master everything from kmeans and hierarchical clustering, to advanced neural networks like GANs and Restricted Boltzmann Machines. Each new algorithm is introduced with a case study for retail, aviation, banking, and more—and you’ll develop a Python solution to fix each of these real-world problems. At the end of each chapter, you’ll find quizzes, practice datasets, and links to research papers to help you lock in what you’ve learned and expand your knowledge. For developers and data scientists. Basic Python experience required.

Название: Чистый Python. Тонкости программирования для профи
Автор(ы): Дэн Бейдер
Издательство: Питер
Год: 2024
Страниц: 288
Формат: PDF
Размер: 14 Мб
Язык: русский

Изучение всех возможностей Python — сложная задача, а с этой книгой вы сможете сосредоточиться на практических навыках, которые действительно важны. Раскопайте «скрытое золото» в стандартной библиотеке Python и начните писать чистый код уже сегодня. Если у вас есть опыт работы со старыми версиями Python, вы сможете ускорить работу с современными шаблонами и функциями, представленными на Python 3.

Название: Distributed Machine Learning Patterns (Final Release)
Автор: Yuan Tang
Издательство: Manning Publications
Год: 2024
Страниц: 248
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Practical patterns for scaling Machine Learning from your laptop to a distributed cluster. Distributed Machine Learning Patterns teaches you how to scale Machine Learning models from your laptop to large distributed clusters. In it, you’ll learn how to apply established distributed systems patterns to Machine Learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed Machine Learning pipelines. For data analysts, data scientists, and software engineers who know the basics of Machine Learning algorithms and running Machine Learning in production. Readers should be familiar with the basics of Bash, Python, and Docker.

Название: Специальные функции и определенные интегралы. Алгоритмы. Программы для микрокалькуляторов. Справочник
Автор: Цимринг Шулим Ефимович
Издательство: Радио и связь
Год: 1988
Формат: pdf, djvu
Страниц: 272
Размер: 12.2 Мб
Язык: русский

Содержит алгоритмы вычисления значений специальных функций вещественного и комплексного аргумента и соответствующие программы для микрокалькуляторов. Приведены алгоритмы и программы вычисления нулей специальных функций и нулей их производных, определенных интегралов, в том числе несобственных, и интегралов от функций комплексного переменного. В справочнике около 250 программ.

Название: Ruby on Rails Background Jobs with Sidekiq: Run Code Later without Complicating Your App
Автор: David Bryant Copeland
Издательство: The Pragmatic Programmers
Год: October 2023 (Version: P1.0)
Страниц: 106
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Sidekiq is a reliable, well-supported, high-performing way to run code in the background of any Rails app. This book will give you a solid, practical foundation for creating resilient, well-tested, self-healing code that uses background jobs. You'll be able to simulate real-world failure modes and learn how to write idempotent code that can be safely run with Sidekiq. Whether you need to offload slow code out of a controller action, or make a flaky API call more fault tolerant, Sidekiq is the way to do that. One of the best ways to improve your Rails app's performance is to use background jobs with Sidekiq. While Sidekiq is easy to get set up, you need to do more than just move code around to reap the benefits. In this book, you'll get solutions to what sort of code should go into a Sidekiq job and how to manage those jobs. Even though you just need a few lines of code to run a Sidekiq job, there is quite a bit of complexity hiding in the shadows. A Rails app with Sidekiq jobs is really a distributed system. It has all the same challenges as a massive microservices-based architecture.

Название: Hacks, Leaks, and Revelations: The Art of Analyzing Hacked and Leaked Data (Final)
Автор: Micah Lee
Издательство: No Starch Press
Год: 2024
Страниц: 544
Язык: английский
Формат: epub (true)
Размер: 15.3 MB

Unlock the internet’s treasure trove of public interest data with Hacks, Leaks, and Revelations by Micah Lee, an investigative reporter and security engineer. This hands-on guide blends real-world techniques for researching large datasets with lessons on coding, data authentication, and digital security. All of this is spiced up with gripping stories from the front lines of investigative journalism. Using Python or other programming languages, you can give your computer precise instructions for performing tasks that existing tools or shell scripts don’t allow. For example, you could write a Python script that scours a million pieces of video metadata to determine where the videos were filmed. In my experience, Python is also simpler, easier to understand, and less error-prone than shell scripts. This chapter provides a crash course on the fundamentals of Python programming. You’ll learn to write and execute Python scripts and use the interactive Python interpreter. You’ll also use Python to do math, define variables, work with strings and Boolean logic, loop through lists of items, and use functions. Future chapters rely on your understanding of these basic skills.

Название: Deep Learning For Physics Research
Автор: Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt
Издательство: World Scientific Publishing
Год: 2021
Страниц: 340
Язык: английский
Формат: pdf (true)
Размер: 18,4 MB

A core principle of physics is knowledge gained from data. Thus, Deep Learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what Deep Learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter optimization is sufficient to jump-start Deep Learning. Adopting a pragmatic approach, basic and advanced applications in physics research are described. Also offered are simple hands-on exercises for implementing deep networks for which Python code and training data can be downloaded.