Название: C# 9 и .NET 5. Разработка и оптимизация, 5-е изд.
Автор: Марк Прайс
Издательство: Питер
Год: 2022
Страниц: 899
Язык: русский
Формат: pdf
Размер: 15,6 MB

В этой книге опытный преподаватель Марк Прайс дает все необходимое для разработки приложений на C#. В пятом издании для работы со всеми основными операционными системами используется популярный редактор кода Visual Studio Code. Издание полностью обновлено и дополнено новой главой, касающейся Microsoft Blazor. В первой части книги рассмотрены основы C#, включая объектно-ориентированное программирование и новые возможности C# 9, такие как создание экземпляров новых объектов с целевым типом и работа с неизменяемыми типами с использованием ключевого слова record. Во второй части рассматриваются API .NET для выполнения таких задач, как управление данными и запросы к ним, мониторинг и повышение производительности, а также работа с файловой системой, асинхронными потоками, сериализацией и шифрованием.

Название: Programming ArcGIS Pro with Python, 2nd Edition
Автор: Eric Pimpler
Издательство: GeoSpatial
Год: 2021
Формат: ePUB, PDF
Страниц: 266
Размер: 32,3 Mb
Язык: English

This hands on exercise book starts with an overview of the Python 3.x language. You’ll learn the basic constructs of this powerful, easy to learn language for automating your ArcGIS Pro geoprocessing tasks. You’ll also learn how to install, configure, and write scripts using the popular PyCharm development environment. We’ll then dive into the details of the ArcGIS Pro arcpy module by learning how to execute geoprocessing tools from your scripts. From there you’ll learn how to manage project and layer files, and manage the data within those files.

Название: Человеческий фактор в программировании
Автор: Ларри Л. Константин
Издательство: Символ-Плюс
Год: 2004
ISBN: 5-93286-044-8, 0-13-060123-3
Серия: Профессионально
Формат: fb2, pdf
Страниц: 369
Размер: 104 Mb
Язык: Русский

Хорошее программное обеспечение создается людьми. Так же как и плохое. Именно поэтому основная тема этой книги - не аппаратное и не программное обеспечение, а человеческий фактор в программировании (peopleware).

Название: The Elements of Voice First Style: A Practical Guide to Voice User Interface Design (Early Release)
Автор: Ahmed Bouzid, Weiye Ma
Издательство: O’Reilly Media, Inc.
Год: 2021-11-16
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

If you're a new or experienced designer of conversational voice-first experiences, this handy reference provides actionable answers to key aspects of eyes-busy, hands-busy, voice-only user interfaces. Designed as a companion to books about conversational voice design, this guide includes important details regarding eyes-free, hands-free, voice-only interfaces delivered by Amazon Echo, Google Nest, and a variety of in-car experiences.

Название: Geostatistics for Compositional Data with R
Автор: Raimon Tolosana-Delgado, Ute Mueller
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 275
Размер: 28 Mb
Язык: English

This book provides a guided approach to the geostatistical modelling of compositional spatial data. These data are data in proportions, percentages or concentrations distributed in space which exhibit spatial correlation. The book can be divided into four blocks. The first block sets the framework and provides some background on compositional data analysis. Block two introduces compositional exploratory tools for both non-spatial and spatial aspects. Block three covers all necessary facets of multivariate spatial prediction for compositional dаta: variogram modelling, cokriging and validation. Finally, block four details strategies for simulation of compositional data, including transformations to multivariate normality, Gaussian cosimulation, multipoint simulation of compositional data, and common postprocessing techniques, valid for both Gaussian and multipoint methods.

Название: Handbook of Machine Learning, Volume 1-2
Автор: Tshilidzi Marwala, Collins Achepsah Leke
Издательство: World Scientific Publishing
Год: 2019-2020
Страниц: 329+321
Язык: английский
Формат: pdf (true)
Размер: 21.2 MB

This is a comprehensive book on the theories of Artificial Intelligence with an emphasis on their applications. It combines fuzzy logic and neural networks, as well as hidden Markov models and genetic algorithm, describes advancements and applications of these Machine Learning techniques and describes the problem of causality. This book should serve as a useful reference for practitioners in Artificial Intelligence (AI).

Название: A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python
Автор: Ganapathi Pulipaka
Издательство: Xlibris US
Год: 2021
Страниц: 568
Язык: английский
Формат: epub
Размер: 20.6 MB

The simple models of supervised Machine Learning with Gaussian Naïve Bayes, Naïve Bayes, decision trees, classification rule learners, linear regression, logistic regression, local polynomial regression, regression trees, model trees, K-nearest neighbors, and support vector machines lay a more excellent foundation for statistics. A Greater Foundation of Machine Learning Engineering covers a broad range of classical linear algebra and calculus with program implementations in PyTorch, TensorFlow, R, and Python with in-depth coverage. Though the book title suggests Machine Learning, there are several implementations of deep learning algorithms, including deep reinforcement learning.

Название: Data-Driven Agility: A Rigorous Approach to Software Delivery
Автор: Justice Conder
Издательство: Independently published
Год: 2021
Язык: английский
Формат: epub
Размер: 10.1 MB

What if I told you there was a way to measure and optimize software delivery performance independent of any particular agile framework and to do so in a way that was empirically and mathematically based? That is the aim of this book. Using quantitative rigor combined with the principles of influence through transparency, we'll unpack an approach to software delivery that can dramatically improve the stability and predictability of your process. This book represents the first draft of the structure of those ideas. There is an adage in software development that says “If you are not embarrassed by the first version of your product, you've launched too late.” It is in line with this principle that I have decided to publish this early formulation of these thoughts.

Название: Visual Object Tracking from Correlation Filter to Deep Learning
Автор: Weiwei Xing, Weibin Liu, Dun Wang
Издательство: Springer
Год: 2021
Страниц: 202
Язык: английский
Формат: pdf (true)
Размер: 10.16 MB

The book focuses on visual object tracking systems and approaches based on correlation filter and Deep Learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and Deep Learning based methods.

Название: C and Python Applications Embedding Python Code in C Programs, SQL Methods, and Python Sockets
Автор: Philip Joyce
Издательство: Apress
Год: 2022
Формат: PDF, ePUB
Страниц: 241
Размер: 10 Mb
Язык: English

Solve problems by embedding Python code in a C programs, SQL methods, Python sockets. This book uses rudimentary mathematics and basic programming to create practical Python applications for embedding.
You'll start with an introduction to C and Python, assuming a fundamental understanding of what programming is. You will also review the basics of the database management language, SQL. You will learn how to use SQL from a C program and from a Python program. C and Python have different programming strengths, and you will learn how to write a Python program embedded within a C program to profit from the strength of each, in one program. Finally, you will explore how socket programs enable two computers to communicate with each other. Here the book covers basic server-client, basic threaded, and basic chat programs.