Название: Q# Pocket Guide: Instant Help for Q# Developers (Early Release)
Автор: Mariia Mykhailova
Издательство: O’Reilly Media, Inc.
Год: 2021-08-25
Язык: английский
Формат: pdf, rtf, epub
Размер: 10.15 MB

Q# is a domain-specific language for quantum programming that combines familiar "classical" language constructs with quantum-specific ones. Ideal for any developer familiar with--or willing to learn--the basics of quantum computing, this pocket guide quickly helps you find syntax and usage information for unfamiliar aspects of Q#. You'll explore the quantum software development lifecycle, from implementing the program to testing and debugging it to running it on quantum hardware, and you'll learn to use the tools provided by Microsoft's Quantum Development Kit for each step of the process.

Название: Cloud Native Integration with Apache Camel Building Agile and Scalable Integrations for Kubernetes Platforms
Автор: Guilherme Camposo
Издательство: Apress
Год: 2021
Формат: ePUB, PDF
Страниц: 282
Размер: 10 Mb
Язык: English

Address the most common integration challenges, by understanding the ins and outs of the choices and exemplifying the solutions with practical examples on how to create cloud native applications using Apache Camel. Camel will be our main tool, but we will also see some complementary tools and plugins that can make our development and testing easier, such as Quarkus, and tools for more specific use cases, such as Apache Kafka and Keycloak.

Название: Natural Language Processing Recipes. Unlocking Text Data with Machine Learning and Deep Learning Using Python 2nd Edition
Автор: Akshay Kulkarni, Adarsha Shivananda
Издательство: Apress
Год: 2021
Формат: ePUB, PDF
Страниц: 302
Размер: 11,5 Mb
Язык: English

Focus on implementing end-to-end projects using Python and leverage state-of-the-art algorithms. This book teaches you to efficiently use a wide range of natural language processing (NLP) packages to: implement text classification, identify parts of speech, utilize topic modeling, text summarization, sentiment analysis, information retrieval, and many more applications of NLP.

Название: Learning Algorithms: A Programmer's Guide to Writing Better Code
Автор: George T. Heineman
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 281
Размер: 11,3 Mb, 10 Mb
Язык: English

When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author George Heineman (Algorithms in a Nutshell) provides concise and informative descriptions of key algorithms that improve coding in multiple languages. Software developers, testers, and maintainers will discover how algorithms solve computational problems creatively.
Each chapter builds on earlier chapters through eye-catching visuals and a steady rollout of key concepts, including an algorithm analysis to classify the performance of every algorithm presented in the book. At the end of each chapter, you'll get to apply what you've learned to a novel challenge problem--simulating the experience you might find in a technical code interview.

Название: Build SPA with React and Wagtail
Автор: Michael Yin
Издательство: Leanpub
Год: 2021-01-14
Страниц: 170
Язык: английский
Формат: pdf (true) +code
Размер: 10.1 MB

This book will teach you how to build a SPA (single-page application) with React and Wagtail CMS. By the end of this course, you will be able to: - Understand Docker and use Docker Compose to do development; - Build a REST API for Wagtail CMS; - Use the Django shell to test code and check data; - Test the REST API and generate test coverage report; - Use the factory package to help create test data; - Build a React app from create-react-app; - Understand React Components and the component lifecycle; - Understand React router; - Use Storybook to develop React Components; - Test React components and the frontend app; - Make React app work with Wagtail preview; - Deploy the production app to DigitalOcean

Название: Data Engineering on Azure
Автор: Vlad Riscutia
Издательство: Manning Publications
Год: 2021
Страниц: 335
Язык: английский
Формат: epub
Размер: 10.1 MB

In Data Engineering on Azure you’ll learn the skills you need to build and maintain big data platforms in massive enterprises. This invaluable guide includes clear, practical guidance for setting up infrastructure, orchestration, workloads, and governance. As you go, you’ll set up efficient machine learning pipelines, and then master time-saving automation and DevOps solutions. The Azure-based examples are easy to reproduce on other cloud platforms.

Название: Full Stack Python Security: Cryptography, TLS, and attack resistance
Автор: Dennis Byrne
Издательство: Manning Publications
Год: 2021
Страниц: 502
Язык: английский
Формат: epub
Размер: 10.2 MB

Full Stack Python Security: Cryptography, TLS, and attack resistance teaches you everything you need to secure Python and Django-based web apps. In it, seasoned security pro Dennis Byrne demystifies complex security terms and algorithms. Starting with a clear review of cryptographic foundations, you’ll learn how to implement layers of defense, secure user authentication and third-party access, and protect your applications against common hacks.

Название: Own Your Tech Career: Soft skills for technologists (Final Release)
Автор: Don Jones
Издательство: Manning Publications
Год: 2021
Страниц: 265
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 14.3 MB

Own Your Tech Career: Soft skills for technologists is a guide to taking control of your professional life. It teaches you to approach your career with planning and purpose, always making active decisions towards your goals.

Название: Pro Java Microservices with Quarkus and Kubernetes: A Hands-on Guide
Автор: Nebrass Lamouchi
Издательство: Apress
Год: 2021
Формат: PDF
Страниц: 413
Размер: 14 Mb
Язык: English

Build and design microservices using Java and the Red Hat Quarkus Framework. This book will help you quickly get started with the features and concerns of a microservices architecture. It will introduce Docker and Kubernetes to help you deploy your microservices.

Название: Designing Machine Learning Systems: Iterative Processes for Deployable, Reliable, and Scalable Machine Learning (Early Release)
Автор: Chip Huyen
Издательство: O’Reilly Media, Inc.
Год: 2021-08-13
Страниц: 99
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Many tutorials show you how to develop ML systems from ideation to deployed models. But with constant changes in tooling, those systems can quickly become outdated. Without an intentional design to hold the components together, these systems will become a technical liability, prone to errors and be quick to fall apart. In this book, Chip Huyen provides a framework for designing real-world ML systems that are quick to deploy, reliable, scalable, and iterative. These systems have the capacity to learn from new data, improve on past mistakes, and adapt to changing requirements and environments. You'll learn everything from project scoping, data management, model development, deployment, and infrastructure to team structure and business analysis.