Название: .NET 7 for Jobseekers: Elevate your coding journey with .NET 7
Автор: Filipe Vilhena
Издательство: BPB Publications
Год: 2023
Страниц: 226
Язык: английский
Формат: epub
Размер: 80.4 MB

A comprehensive guide to learning .NET 7. .NET has transformed the landscape of software development with its versatility and widespread adoption. In today's competitive job market, mastering .NET provides a distinct advantage, regardless of your level of experience. This guide is an invaluable resource for individuals seeking proficiency in the latest version of the .NET framework. The book commences by covering the fundamental aspects of .NET, which includes an overview of the .NET environment, the evolution of the framework, and the latest features and libraries in .NET 7. The book then helps you acquire practical experience by creating a basic ‘Hello World’ program using Razor pages. Next, the book delves deeper into application design, explores essential topics like building views and controllers, performing comprehensive testing, and harnessing the power of .NET MAUI to develop cross-platform applications for iOS, Android, macOS, and Windows. Furthermore, the book discusses other important topics such as Blazor, desktop user interfaces, SignalR, and Orleans, and explains how to integrate databases through MVC. Lastly, it includes a section on frequently asked questions and answers you may encounter while working with .NET.

Название: Machine Learning for Education: Revolutionizing the way we learn and teach
Автор: Dr. Amit Dua, Sankha Das
Издательство: BPB Publications
Год: 2023
Страниц: 150
Язык: английский
Формат: epub
Размер: 64.8 MB

A guide to understand the basics of Machine Learning and its application in the field of education. "Machine Learning for Education" is a book that explores the application of Machine Learning techniques in the field of education. It covers a wide range of topics, including personalizing learning using Machine Learning, improving student outcomes, and optimizing educational resources. The book delves into various Machine Learning techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning, and how they can be applied to different areas of education such as curriculum design, assessment, and student engagement. The book takes a novel approach to explain the applications of Machine Learning in education through relatable real-life examples, existing problems and proposing thought-provoking solutions to the same. At the end of each chapter, there are crossword puzzles, word grids, and comprehensive exercises designed to reinforce the concepts discussed in the chapter and ensure a thorough understanding.

Название: Next.js Cookbook: Learn how to build scalable and high-performance apps from scratch
Автор: Andrei Tazetdinov
Издательство: BPB Publications
Год: 2023
Страниц: 270
Язык: английский
Формат: epub
Размер: 73.8 MB

Practical solutions and proven recipes for building dynamic web applications with Next.js. Next.js is a powerful and flexible framework for building server-side rendered React applications. In this book, you will learn how to develop a full-stack ERP application from scratch to production using Next.js. The book will begin by covering the basics of Next.js, including setting up the environment and creating your first app. You will then learn how to use design patterns to optimize the application development process. Next, the book will help you get familiar with Next.js's server-side rendering capabilities by providing the knowledge and skills needed to leverage this powerful feature to improve the performance and user experience of your ERP application. You will also learn to manage the complex application state using Redux, as well as how to implement internal pages and create a CRUD system for user data. In addition, the book will help you perform end-to-end testing using Cypress and Playwright, and deploy your application to production using AWS Amplify. Lastly, you will learn how to optimize your web application for search engines, enabling better visibility and higher traffic to your website.

Название: Managing Machine Learning Projects: From design to deployment (Final Release)
Автор: Simon Thompson
Издательство: Manning Publications
Год: 2023
Страниц: 273
Язык: английский
Формат: pdf (true)
Размер: 11.7 MB

Guide machine learning projects from design to production with the techniques in this unique project management guide. No ML skills required! Managing Machine Learning Projects is an end-to-end guide for delivering machine learning applications on time and under budget. It lays out tools, approaches, and processes designed to handle the unique challenges of machine learning project management. You’ll follow an in-depth case study through a series of sprints and see how to put each technique into practice. The book’s strong consideration to data privacy, and community impact ensure your projects are ethical, compliant with global legislation, and avoid being exposed to failure from bias and other issues. Ferrying Machine Learning projects to production often feels like navigating uncharted waters. From accounting for large data resources to tracking and evaluating multiple models, machine learning technology has radically different requirements than traditional software. Never fear! This book lays out the unique practices you’ll need to ensure your projects succeed.

Название: Python How-To: 63 techniques to improve your Python code (Final Release)
Автор: Yong Cui
Издательство: Manning Publications
Год: 2023
Страниц: 506
Язык: английский
Формат: pdf (true)
Размер: 12.7 MB

Have you ever asked yourself, “How do I do that in Python?” If so, you’ll love this practical collection of the most important Python techniques. Python How-To walks you through the most important coding techniques in Python. Whether you’re doing data science, building web applications, or writing admin scripts, you’ll find answers to your “how-to” questions in this book. Inside you’ll find important insights into both Python basics and deep-dive topics to help you skill-up at any stage of your Python career. Author Yong Cui’s clear and practical writing is instantly accessible and makes it easy to take advantage of Python’s versatile tools and libraries. Perfect to be read both from cover to cover, and whenever you need help troubleshooting your code. Python How-To uses a simple but powerful method to lock in 63 core Python skills. You’ll start with a question, like “How do I find items in a sequence?” Next, you’ll see an example showing the basic solution in crystal-clear code. You’ll then explore interesting variations, such as finding substrings or identifying custom classes. Finally, you’ll practice with a challenge exercise before moving on to the next How-To.

Название: Программирование в Delphi 7
Автор: Гумерова Л.З., Аглямзянова Г.Н.
Издательство: Научно-инновационный центр
Год: 2019
Cтраниц: 245
Формат: pdf
Размер: 41 мб
Язык: русский

Данное учебное пособие содержит описание интегрированной среды разработки, основных элементов управления, инструментов проектирования приложений и создания баз данных в Delphi 7. На сегодняшний день Delphi является одним наиболее ярких представителей класса объектно-ориентированных языков программирования.

Название: Packaging Python Applications with PyInstaller: The hands-on guide to distributable Python apps
Автор: Martin Fitzpatrick
Издательство: Independently published
Год: 2022-06-04 (v.1.0)
Страниц: 170
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.2 MB

There is not much fun in creating your own applications if you can't share them with other people, whether publishing it commercially or sharing it online. Distributing your apps allows other people to benefit from your hard work! Unfortunately, packaging Python applications can sometimes be hard work. In this book I walk you step-by-step through the process of packaging your own Python applications. Starting with simple examples and working up to complete installers and signed executables. I've been packaging Python applications for years — honestly, it feels longer. With this book you get the benefit of that experience & save yourself the pain. PyInstaller is a cross-platform packaging system which supports building desktop applications for Windows, macOS and Linux. It automatically handles packaging of your Python applications, along with any associated libraries and data files, either into a standalone one-file executable or a distributable folder you can then use to create an installer.

Название: Deep Learning on Microcontrollers: Learn how to develop embedded AI applications using TinyML
Автор: Atul Krishna Gupta, Siva Prasad Nandyala
Издательство: BPB Publications
Год: 2023
Страниц: 301
Язык: английский
Формат: epub (true)
Размер: 12.2 MB

A step-by-step guide that will teach you how to deploy TinyML on microcontrollers. TinyML, or Tiny Machine Learning, is used to enable machine learning on resource-constrained devices, such as microcontrollers and embedded systems. If you want to leverage these low-cost, low-power but strangely powerful devices, then this book is for you. This book aims to increase accessibility to TinyML applications, particularly for professionals who lack the resources or expertise to develop and deploy them on microcontroller-based boards. The book starts by giving a brief introduction to Artificial Intelligence, including classical methods for solving complex problems. It also familiarizes you with the different ML model development and deployment tools, libraries, and frameworks suitable for embedded devices and microcontrollers. The book will then help you build an Air gesture digit recognition system using the Arduino Nano RP2040 board and an AI project for recognizing keywords using the Syntiant TinyML board.

Название: Modern Computational Techniques for Engineering Applications
Автор: Krishan Arora, Vikram Kumar, Deepak Prashar
Издательство: CRC Press
Год: 2024
Страниц: 229
Язык: английский
Формат: pdf (true)
Размер: 42.3 MB

Modern Computational Techniques for Engineering Applications presents recent computational techniques used in the advancement of modern grids with the integration of non-conventional energy sources like wind and solar energy. It covers data analytics tools for smart cities, smart towns, and smart computing for sustainable development. The book comprehensively introduces modern computational techniques, starting from basic tools to highly advanced procedures, and their applications. It further highlights artificial neural networks, fuzzy systems, Machine Learning, and Artificial Intelligence techniques and how they form the basis for algorithms. It presents application-based case studies on cloud computing, optimization methods, blockchain technology, fog and edge computing, and the Industrial Internet of Things. It will be a valuable resource for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communications engineering, and computer engineering.

Название: Applied Linear Regression for Business Analytics with R: A Practical Guide to Data Science with Case Studies
Автор: Daniel P. McGibney
Издательство: Springer
Год: 2023
Страниц: 286
Язык: английский
Формат: pdf
Размер: 10.1 MB

Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language. In modern statistics, the fundamental concepts of linear regression have changed little over the past decades. More work has been done to develop and expand on these existing concepts, and regression continues to be an active area of research. Today, many linear regression methods are broadly considered Machine Learning or, even more broadly, Artificial Intelligence. Traditional linear regression analysis can be used to make predictions and inferential understanding.