Название: Ultimate Node.js for Cross-Platform App Development: Learn to Build Robust, Scalable, and Performant Server-Side jаvascript Applications with Node.js
Автор: Ramesh Kumar
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 409
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Unleash the Power of Node.js for Building Enterprise-Grade, Scalable Server-Side Applications. Unlock the full potential of Node.js for modern web development with this comprehensive handbook to developing applications and services. The book will cover the fundamentals to advanced techniques, and explore the intricacies of building powerful applications. You will master Express server creation, develop RESTful APIs with efficient routing, and dive into MongoDB for seamless data persistence. It will uncover the nuances of template engines, middleware, and robust authentication methods. Leverage Socket.IO for real-time capabilities and adeptly handle errors with effective logging. The projects will double as versatile boilerplates for kickstarting your own development endeavors. In the later chapter, you will learn Test-Driven Development with Mocha, gain insights into debugging, and perfect the art of building and deploying Node.js applications.

Название: Роадмап деда-программиста. Python бэкенд с 0 до джуна
Автор: Руслан Клуб
Издательство: Stepik
Год: 2024
Формат: HTML
Страниц: много
Размер: 159 Mb
Язык: Русский

Этот роадмап - это мой подробный рассказ про каждый шаг, который вам нужно будет сделать. Я виртуально беру вас за руку и прохожу весь путь с самого начала и рассказываю все, что я знаю. Моей главной целью было максимально облегчить процесс самообучения для вас.

Название: Electrodynamics Tutorials with Python Simulations
Автор: Taejoon Kouh, Minjoon Kouh
Издательство: CRC Press
Год: 2024
Страниц: 295
Язык: английский
Формат: pdf (true)
Размер: 35.5 MB

This book provides an accessible introduction to intermediate-level electrodynamics with computational approaches to complement a traditional mathematical treatment of the subject. It covers key topics in electrodynamics, such as electromagnetic fields, forces, potentials, and waves as well as Special Theory of Relativity. Through intuition-building examples and visualizations in the Python programming language, it helps readers to develop technical computing skills in numerical and symbolic calculations, modeling and simulations, and visualizations. Python is a highly readable and practical programming language, making this book appropriate for students without extensive programming experience. This book can serve as an electrodynamics textbook for undergraduate physics and engineering students in their second or third years, who are studying intermediate- or advanced-level electrodynamics and who want to learn techniques for scientific computing at the same time. This book will also appeal to Computer Science students who want to see how their computer programming skills may be applied to science, particularly to physics, without needing too much background physics knowledge. Perhaps the most challenging step in following the codes in this book may be the first step of getting started with Python. Fortunately, there are a few user-friendly options at this point of writing. The first option is a free, cloud-based Python environment like Google Colaboratory (or Colab). You can open, edit, and run Python codes on a Jupyter Notebook environment using a browser.

Название: Neural Networks with Model Compression
Автор: Baochang Zhang, Tiancheng Wang, Sheng Xu, David Doermann
Издательство: Springer
Серия: Computational Intelligence Methods and Applications
Год: 2024
Страниц: 267
Язык: английский
Формат: pdf (true), epub
Размер: 34.3 MB

Deep Learning has achieved impressive results in image classification, Computer Vision and Natural Language Processing (NLP). To achieve better performance, deeper and wider networks have been designed, which increase the demand for computational resources. The number of floating-point operations (FLOPs) has increased dramatically with larger networks, and this has become an obstacle for convolutional neural networks (CNNs) being developed for mobile and embedded devices. In this context, our book will focus on CNN compression and acceleration, which are important for the research community. We will describe numerous methods, including parameter quantization, network pruning, low-rank decomposition and knowledge distillation. More recently, to reduce the burden of handcrafted architecture design, neural architecture search (NAS) has been used to automatically build neural networks by searching over a vast architecture space. Our book will also introduce NAS due to its superiority and state-of-the-art performance in various applications, such as image classification and object detection. Deep Learning is a subset of Machine Learning that focuses on developing and applying artificial neural networks with multiple layers, also known as deep neural networks. It is inspired by the structure and function of the human brain, specifically the interconnectedness of neurons. Deep Learning models can have many architectures, depending on the task and data being addressed. Common architectures include feedforward neural networks, convolutional neural networks (CNNs) for image analysis, recurrent neural networks (RNNs) for sequence data, and transformers for natural language processing (NLP) tasks. Deep Learning has revolutionized the field of Artificial Intelligence, enabling machines to learn and make intelligent decisions from vast amounts of data.

Название: Design and Analysis of Control Systems: Driving the Fourth Industrial Revolution, Second Edition
Автор: Arthur G.O. Mutambara
Издательство: CRC Press
Год: 2024
Страниц: 795
Язык: английский
Формат: pdf (true)
Размер: 39.1 MB

Written to inspire and cultivate the ability to design and analyse feasible control algorithms for a wide range of engineering applications, this comprehensive text covers the theoretical and practical principles involved in the design and analysis of control systems. This second edition introduces 4IR adoption strategies for traditional intelligent control, including new techniques of implementing control systems. It provides improved coverage of the characteristics of feedback control, root-locus analysis, frequency-response analysis, state space methods, digital control systems and advanced controls, including updated worked examples and problems. The design and analysis of control systems require tools to enable and speed up the process. There are a number of such computer-based computational tools that can be used. MATLAB and its MATLAB Control System Toolbox are the most popular tools, followed by Simulink Control Design. There is also LabVIEW which is a graphical tool and an alternative programming method to MATLAB. Other tools include SPICE-Based Simulation Software, SimPowerSystems, StateFlow, and Mathcad. With the advent of the Fourth Industrial Revolution (4IR) and extensive use of Artificial Intelligence (AI), there are new advanced methods of designing and analysing control systems. Most of these techniques are data-driven, and more specifically AI-based. To start with, concepts such as Data-Driven Modelling, Artificial Intelligence, Machine Learning, Deep Learning, Fuzzy Logic, and Artificial Neural Networks are introduced and discussed in detail.

Название: Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI
Автор: John Soldatos
Издательство: Springer
Год: 2024
Страниц: 516
Язык: английский
Формат: pdf (true)
Размер: 14.6 MB

This book presents a rich set of innovative solutions for Artificial Intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as Deep Learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers’ training, supply chain management, as well as various production optimization scenarios.

Название: The Engineering Executive's Primer: Impactful Technical Leadership
Автор: Will Larson
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 360
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

As an engineering manager, you almost always have someone in your company to turn to for advice: a peer on another team, your manager, or even the head of engineering. But who do you turn to if you're the head of engineering? Engineering executives have a challenging learning curve, and many folks excitedly start their first executive role only to leave frustrated within the first 18 months. In this book, author Will Larson shows you ways to obtain your first executive job and quickly ramp up to meet the challenges you may not have encountered in non-executive roles: measuring engineering for both engineers and the CEO, company-scoped headcount planning, communicating successfully across a growing organization, and figuring out what people actually mean when they keep asking for a "technology strategy." As an engineer, you’ll often be responsible for onboarding peers onto your team. In those cases, you’re often implicitly more senior than the peer you’re onboarding, but you’re both knowledgeable in the shared field of software engineering.

Название: Проверка гипотез и анализ данных на Python
Автор: Алексей Малышкин
Издательство: Интернет-издание
Год: 2023
Формат: PDF
Страниц: 62
Размер: 3.6 Mb
Язык: Русский

Всё, что вы хотели узнать о статистических тестах, их математической подоплёке и реализацией на Python в одном курсе!

Название: Hands-On Entity Resolution: A Practical Guide to Data Matching With Python
Автор: Michael Shearer
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 200
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Entity resolution is a key analytic technique that enables you to identify multiple data records that refer to the same real-world entity. With this hands-on guide, product managers, data analysts, and data scientists will learn how to add value to data by cleansing, analyzing, and resolving datasets using open source Python libraries and cloud APIs. Author Michael Shearer shows you how to scale up your data matching processes and improve the accuracy of your reconciliations. You'll be able to remove duplicate entries within a single source and join disparate data sources together when common keys aren't available. Using real-world data examples, this book helps you gain practical understanding to accelerate the delivery of real business value. With entity resolution, you'll build rich and comprehensive data assets that reveal relationships for marketing and risk management purposes, key to harnessing the full potential of ML and AI.

Название: Software Supply Chain Security: Securing the End-to-end Supply Chain for Software, Firmware, and Hardware
Автор: Cassie Crossley
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 200
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Trillions of lines of code help us in our lives, companies, and organizations. But just a single software cybersecurity vulnerability can stop entire companies from doing business and cause billions of dollars in revenue loss and business recovery. Securing the creation and deployment of software, also known as software supply chain security, goes well beyond the software development process. This practical book gives you a comprehensive look at security risks and identifies the practical controls you need to incorporate into your end-to-end software supply chain. Author Cassie Crossley demonstrates how and why everyone involved in the supply chain needs to participate if your organization is to improve the security posture of its software, firmware, and hardware.