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Название: TypeScript Basics: Learn TypeScript from Scratch and Solidify Your Skills with Projects
Автор: Nabendu Biswas
Издательство: Apress
Год: 2023
Страниц: 172
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB

TypeScript is revolutionizing how developers create jаvascript apps. It was built by Microsoft to fix the issues that came out of loose binding in jаvascript. Since jаvascript is a loosely typed language, a lot of issues ended up in the production apps. These issues were hard to track and took a lot of time to fix. TypeScript is a superset of jаvascript, and it enables you to avoid type errors before they even occur. You can catch them in an IDE (Integrated Development Environment) like VS Code. The popular jаvascript frontend framework of Angular uses TypeScript by default. The most popular jаvascript frontend library called React also uses jаvascript by default. This book first teaches you about TypeScript, and then you will use it in a ReactJS project. You will also use it with the jаvascript backend framework of NodeJS and learn how to create a React Redux project. Jumpstart your working knowledge of Typescript with a quick, practical guide and start using this open source, object orientated language with confidence. This book highlights how Typescript works with jаvascript and its frameworks, giving it greater functionality, especially for larger enterprise projects.

Название: Pointers and References in C++: Fifth Step in C++ Learning
Автор: Gordon Ray, Din Asotic
Издательство: Reedsy
Серия: C++ Programming Book 5
Год: 2023
Страниц: 107
Язык: английский
Формат: pdf
Размер: 16.9 MB

Introducing the fifth installment in the Programming in C++ Series by Eucoding – "Pointers and References in C++." Embark on a journey into the intricate world of memory management and data manipulation as you delve into the heart of C++ programming. This book serves as your compass, guiding you through the nuanced realm of pointers and references with clarity and precision. Unlock the power of dynamic memory allocation and discover the art of direct memory access as you navigate the depths of this fundamental programming concept. "Pointers and References in C++" doesn't just demystify these crucial elements; it empowers you to wield them confidently in your code, enhancing your ability to create efficient, robust, and flexible software. Eucoding, a trusted name in programming education, brings you a humble yet comprehensive guide that transcends the complexities of pointers and references, making them accessible to both beginners and seasoned developers alike. Immerse yourself in practical examples, hands-on exercises, and real-world applications, ensuring you not only grasp the theoretical underpinnings but also gain the practical skills to apply them in your own projects.

Название: Scratch для юных программистов: Пособие по программированию для обучения с нуля
Автор: Банкрашков А. (перевод)
Издательство: АСТ
Год: 2019
Cтраниц: 98, цвет.ил.
Формат: pdf
Размер: 43 мб
Язык: русский

В этой книге о программировании на языке Scratch, созданном специально для обучения детей программированию, вы найдете интересные проекты, забавные иллюстрации и, конечно, понятные инструкции. Все это поможет вам разобраться в основах программирования, понять логику работы компьютера, а затем и перейти к программированию на более сложных языках.

Название: ASP.NET Core 6 Succinctly
Автор: Dirk Strauss
Издательство: Syncfusion
Год: 2023
Страниц: 102
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.2 MB

In ASP.NET Core 6 Succinctly, author Dirk Strauss guides web developers through some of the significant performance and feature improvements newly available in ASP.NET Core 6. Learn about the unmissable practicality of Hot Reload, explore super-helpful C# 10 features, pick up the essentials of how to build a minimal API, and discover how and why developers should use dependency injection. The .NET 6.0 framework is a major release for Microsoft and allows developers to build almost anything using one unified platform. The .NET Framework was released in 2002 for Windows development, and later evolved into what we know as .NET Core. This lightweight, cross-platform framework allows developers to build different types of applications. With the release of .NET 5.0 in 2020, Microsoft began to solidify its unified vision for the entire platform, culminating in .NET 6.0. In this book, we will have a look at .NET 6.0 as it relates to ASP.NET Core. .NET 6.0 and C# 10 bring with them a lot of new features. While this book is not a deep dive into C# 10, I will briefly touch on several of the new features. To see if the application you created is running C# 10, have a look at the project’s properties.

Название: MATLAB Image Acquisition Toolbox User’s Guide (R2023b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2023
Страниц: 666
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Acquire images and video from industry-standard hardware. Image Acquisition Toolbox provides functions and blocks for connecting cameras to MATLAB and Simulink. It includes a MATLAB app that lets you interactively detect and configure hardware properties. You can then generate equivalent MATLAB code to automate your acquisition in future sessions. The toolbox enables acquisition modes such as processing in-the-loop, hardware triggering, background acquisition, and synchronizing acquisition across multiple devices. Image Acquisition Toolbox supports all major standards and hardware vendors, including USB3 Vision, GigE Vision, and GenICam GenTL. You can connect to machine vision cameras and frame grabbers, as well as high-end scientific and industrial devices.

Название: Байесовские модели. Байесовская статистика на языке программирования Python
Автор: Дауни А. Б.
Издательство: Москва
Год: 2018
Cтраниц: 182
Формат: pdf (ocr)
Размер: 24 мб
Язык: русский

Если вы знаете, как программировать на Python и немного знаете о теории вероятности, значит, вы готовы освоить байесовскую статистику. Эта книга расскажет вам, как решать статистические задачи с помощью языка Python вместо математических формул и использовать дискретные вероятностные распределения вместо непрерывной математики. Когда вы уберете с дороги математику, байесовские основы станут яснее, и вы начнете применять эту технику для решения реальных проблем. Байесовские статистические методы становятся все более обширными и важными. Но в помощь начинающим доступно не слишком много источников.

Название: Аналитика в Power BI с помощью R и Python
Автор: Уэйд Р.
Издательство: ДМК Пресс
Год: 2021
Cтраниц: 338
Формат: pdf
Размер: 17 мб
Язык: русский

Данная книга поможет вам научиться использовать языки программирования R и Python в аналитике совместно с Microsoft Power BI. Эксперт в области анализа данных и автор книги Райан Уэйд продемонстрирует на примерах, как можно легко и просто применить R и Python там, где стандартных средств Power BI просто недостаточно.

Название: MATLAB Statistics and Machine Learning Toolbox User’s Guide (R2023b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2023
Страниц: 1176
Язык: английский
Формат: pdf (true)
Размер: 53.4 MB

Analyze and model data using statistics and Machine Learning. Statistics and Machine Learning Toolbox provides functions and apps to describe, analyze, and model data. You can use descriptive statistics, visualizations, and clustering for exploratory data analysis, fit probability distributions to data, generate random numbers for Monte Carlo simulations, and perform hypothesis tests. Regression and classification algorithms let you draw inferences from data and build predictive models either interactively, using the Classification and Regression Learner apps, or programmatically, using AutoML. For multidimensional data analysis and feature extraction, the toolbox provides principal component analysis (PCA), regularization, dimensionality reduction, and feature selection methods that let you identify variables with the best predictive power. The toolbox provides supervised, semi-supervised and unsupervised machine learning algorithms, including support vector machines (SVMs), boosted decision trees, k-means, and other clustering methods. You can apply interpretability techniques such as partial dependence plots and LIME, and automatically generate C/C++ code for embedded deployment. Many toolbox algorithms can be used on data sets that are too big to be stored in memory. MATLAB Coder generates readable and portable C and C++ code from Statistics and Machine Learning Toolbox functions that support code generation. You can integrate the generated code into your projects as source code, static libraries, or dynamic libraries.

Название: MATLAB Control System Toolbox User's Guide (R2023b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2023
Страниц: 1906
Язык: английский
Формат: pdf (true)
Размер: 26.4 MB

In Control System Toolbox, System Identification ToolboxTM, and Robust Control ToolboxTM software, you represent linear systems as model objects. In System Identification Toolbox, you also represent nonlinear models as model objects. Model objects are specialized data containers that encapsulate model data and other attributes in a structured way. Model objects allow you to manipulate linear systems as single entities rather than keeping track of multiple data vectors, matrices, or cell arrays. Model objects can represent single-input, single-output (SISO) systems or multiple-input, multiple-output (MIMO) systems. You can represent both continuous- and discrete-time linear systems.

Название: MATLAB Medical Imaging Toolbox User's Guide (R2023b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2023
Страниц: 282
Язык: английский
Формат: pdf (true)
Размер: 12.3 MB

Visualize, register, segment, and label 2D and 3D medical images. Medical Imaging Toolbox provides apps, functions, and workflows for designing and testing diagnostic imaging applications. You can perform 3D rendering and visualization, multimodal registration, and segmentation and labeling of radiology images. The toolbox also lets you train predefined Deep Learning networks (with Deep Learning Toolbox). You can import, preprocess, and analyze radiology images from various imaging modalities, including projected X-ray imaging, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound (US), and nuclear medicine (PET, SPECT). The Medical Image Labeler app lets you semi-automate 2D and 3D labeling for use in AI workflows. You can perform multimodal registration of medical images, including 2D images, 3D surfaces, and 3D volumes. The toolbox provides an integrated environment for end-to-end computer-aided diagnosis and medical image analysis.