Название: Become A Ninja With Angular (v17.0.0)
Автор: Ninja Squad
Издательство: Ninja Squad
Год: 2023-11-08
Страниц: 346
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.1 MB

Книга "Стань ниндзя с Angular" поможет программистам понять философию Angular на практике (в настоящее время 17.0.2), новые инструменты (такие как ES2015, TypeScript, SystemJS, Webpack, Angular CLI ...) и каждую часть инфраструктуры. К концу чтения данного руководства вы сможете начать свой проект и создавать свои удивительные приложения!

Название: Telegram Bot. Руководство по созданию бота в мессенджере Телеграм
Автор: Артем Демиденко
Издательство: Литрес
Год: 2023
Формат: pdf, rtf
Размер: 10 Мб
Страниц: 30
Язык: Русский

Эта книга является практическим руководством по созданию бота для Telegram с использованием языка программирования Python. В ней описываются основные шаги для создания бота, такие как регистрация и получение токена, установка и настройка необходимых библиотек, создание функций бота и его запуск. Также рассмотрены дополнительные функции, которые можно добавить в бота, такие как отправка фотографий и видео, использование клавиатуры для быстрого ответа на сообщения, интеграция с другими сервисами и машинное обучение для распознавания сообщений.

Название: Kubernetes Cookbook: Building Cloud Native Applications, 2nd Edition (Final)
Автор: Sameer Naik, Sébastien Goasguen, Jonathan Michaux
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 301
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

Kubernetes is the de facto standard for container orchestration and distributed applications management across a microservices framework. With this practical cookbook, you'll learn hands-on Kubernetes recipes for automating the deployment, scaling, and operations of application containers across clusters of hosts. In this fully updated second edition, Sameer Naik, Sébastien Goasguen, and Jonathan Michaux from TriggerMesh provide a problem-solution-discussion format with easy lookups to help you find the detailed answers you need—fast. Kubernetes lets you deploy your applications quickly and predictably, so you can efficiently respond to customer demand. This cookbook delivers the essential knowledge that developers and system administrators need to get there. With this book, we want to help you solve concrete problems around Kubernetes. We’ve compiled more than 100 recipes covering topics such as setting up a cluster, managing containerized workloads using Kubernetes API objects, using storage primitives, configuring security, and plenty more. This book was written for anyone who belongs somewhere in the DevOps spectrum. You might be an application developer who is required to occasionally interact with Kubernetes, or a platform engineer creating reusable solutions for other engineers in your organization, or anywhere in between. This book will help you navigate your way successfully through the Kubernetes jungle, from development to production.

Название: Generative AI on AWS: Building Context-Aware Multimodal Reasoning Applications
Автор: Chris Fregly, Antje Barth, Shelbee Eigenbrode
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 309
Язык: английский
Формат: epub (true)
Размер: 42.1 MB

Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. A basic understanding of Python and deep learning frameworks such as TensorFlow or PyTorch should be sufficient to understand the code samples used throughout the book. Familiarity with AWS is not required to learn the concepts, but it is useful for some of the AWS-specific samples.

Название: Natural Language Processing: A Textbook With Python Implementation
Автор: Raymond S. T. Lee
Издательство: Springer
Год: 2024
Страниц: 454
Язык: английский
Формат: pdf (true)
Размер: 23,9 MB

This textbook presents an up-to-date and comprehensive overview of Natural Language Processing (NLP), from basic concepts to core algorithms and key applications. Further, it contains seven step-by-step NLP workshops (total length: 14 hours) offering hands-on practice with essential Python tools like NLTK, spaCy, TensorFlow Kera, Transformer and BERT. The objective of this book is to provide readers with a fundamental grasp of NLP and its core technologies, and to enable them to build their own NLP applications (e.g. Chatbot systems) using Python-based NLP tools. It is both a textbook and NLP tool-book intended for the following readers: undergraduate students from various disciplines who want to learn NLP; lecturers and tutors who want to teach courses or tutorials for undergraduate/graduate students on NLP and related AI topics; and readers with various backgrounds who want to learn NLP, and more importantly, to build workable NLP applications after completing its 14 hours of Python-based workshops. This book can be served as a textbook for undergraduates and postgraduate courses on Natural Language Processing, and a reference book for general readers who would like to learn key technologies and implement NLP applications with contemporary implementation tools such as NLTK, spaCy, TensorFlow, BERT, and Transformer technology.

Название: What Are AI Agents? When and How to Use LLM Agents
Автор: Benjamin Labaschin
Издательство: O’Reilly Media, Inc.
Год: 2024
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

AI agents represent the latest milestone in humanity's computational toolbox. Powered by large language models (LLMs) and the data they were trained on, AI agents are tools that let you interact with specialized LLMs to achieve more productive or creative workflows with less technical hassle. The last century in the history of computing has had many notable milestones: the invention of the computer; the development of the personal computer as we know it; the internet; the smart phone; machine learning; and cloud computing. Every few decades it seems societies are thrust forward, riding the wave of some new computational innovation. If you are reading this, then congratulations (or I’m sorry?), you are living during another one of these milestones in computational advancement. Code assistant agents are AI agents that are fueled by models specifically designed to help users like you write code more productively and efficiently. Popular code assistant agents include GitHub Copilot, Amazon CodeWhisperer, and Hugging Face’s StarCoder. Code assistant agents are tools designed to edit error-ridden code, autocomplete simple functions to common coding problems, or design templates for more difficult coding problems.

Название: Python GUI Development with PyQt: Mastering PyQt
Автор: Williams Asiedu
Издательство: Ouereila Publishing House
Год: 2023
Страниц: 183
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

"Python GUI Development with PyQt" is a comprehensive guide for software developers aiming to master graphical user interface creation using Python and PyQt. The book covers fundamental concepts such as widgets and layouts, progressing to advanced topics like custom widgets and multi-threading. Readers learn to design visually appealing interfaces using Qt Designer and implement functionality through Python code. Practical examples and projects reinforce learning, while best practices ensure the development of maintainable and efficient applications. The guide also addresses deployment strategies, helping developers package and distribute their PyQt applications across various operating systems. With an emphasis on real-world application, this book equips developers with the skills needed for effective GUI development in Python. Immersive in practicality, this book is laden with examples to ensure a profound grasp of every concept. It delves into the practical usage of PyQt libraries, spotlighting essential modules for constructing remarkable graphical user interfaces. With snippets of meticulously tested code, you’ll find ready-to-use segments that can be effortlessly copied and pasted into your integrated development environment (IDE). This book aspires to be your comprehensive guide in mastering the art of desktop application development with Python.

Название: Neural Networks with Python: Design CNNs, Transformers, GANs and capsule networks using Tensorflow and Keras
Автор: Mei Wong
Издательство: GitforGits
Год: November 2023
Страниц: 253
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

"Neural Networks with Python" serves as an introductory guide for those taking their first steps into neural network development with Python. It's tailored to assist beginners in understanding the foundational elements of neural networks and to provide them with the confidence to delve deeper into this intriguing area of Machine Learning. In this book, readers will embark on a learning journey, starting from the very basics of Python programming, progressing through essential concepts, and gradually building up to more complex neural network architectures. The book simplifies the learning process by using relatable examples and datasets, making the concepts accessible to everyone. You will be introduced to various neural network architectures such as Feedforward, Convolutional, and Recurrent Neural Networks, among others. Each type is explained in a clear and concise manner, with practical examples to illustrate their applications. The book emphasizes the real-world applications and practical aspects of neural network development, rather than just theoretical knowledge. By the end of your journey with this book, you will have a foundational understanding of neural networks within the Python ecosystem and be prepared to apply this knowledge to real-world scenarios.

Название: Command Line Git : Everything you need to know to get started: Illustrated guide to Git with useful mental models and exercises
Автор: Maksim Ivanov
Издательство: Leanpub
Год: 2023-10-09
Страниц: 190
Язык: английский
Формат: pdf (true), epub + Extra
Размер: 16.7 MB

This book explains how to use Git from command line on Windows, Mac OS and Linux. The goal of this book is to get you up and running using Git from the command line as quickly as possible without overwhelming you with too much information. To make the learning process more intuitive and engaging, I use mental models, analogies and metaphors to help you understand and remember the concepts. I also use diagrams and illustrations. They help you visualize complex ideas and also serve as a bit of entertainment to keep you engaged. At the end of each chapter, you will find exercises that are crafted to reinforce the concepts you have just learned. These exercises are hands-on tasks that allow you to apply the new knowledge. By practicing what you learn, you understand the topics better and solidify the information in your memory. It is important to do the exercises. They will help you learn Git faster. Why Use the Command Line? Git has many applications with graphical user interfaces (GUI). Some of them are very good. So why use the command line? I believe using Git from the command line is the best way to learn it. It’s also the most flexible way to use it. You won’t be limited to a particular GUI application or an editor plugin. You will be able to use Git from a remote server, from a virtual machine or from a Docker container. So you’ll be a lot more powerful.

Название: Generative Adversarial Networks in Practice
Автор: Mehdi Ghayoumi
Издательство: CRC Press
Год: 2024
Страниц: 671
Язык: английский
Формат: pdf (true)
Размер: 30.0 MB

This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts. In recent decades, machines have played a significant role in making human life more comfortable. Machine Learning (ML) is currently one of the most advanced and popular subjects, with numerous applications across various fields. Making machines smarter to better assist humans is a challenge that many enjoy solving, and researchers are working toward this goal, continuously seeking ways to enhance machine intelligence. Numerous algorithms and techniques have been discovered and developed in this field, some traditional, such as Support Vector Machine (SVM) or Decision Tree (DT), and some novel, such as Deep Learning. These methods and studies form part of Machine Learning, an area of Computer Science that has recently piqued both academic and industry interests. Generative Adversarial Networks (GANs) are one of the most exciting and recently developed Deep Learning methods, showing several promising results in generating new data from existing data. They have a wide range of applications, which we will discuss in this book, along with information about their architectures and methods, as well as step-by-step instructions for implementing them.