Название: Python for Beginners: Unraveling the Power of Python for Novice Coders (2023 Guide)
Автор: Matthew Neel
Издательство: Reedsy
Год: October 19, 2023
Страниц: 137
Язык: английский
Формат: pdf, epub
Размер: 21.1 MB

"Python for Beginners" is a comprehensive and user-friendly guide designed for individuals venturing into the realm of programming for the first time. With its simple and intuitive approach, this book equips readers with the essential knowledge and practical skills needed to harness the full potential of Python. This book is intended for anyone who is interested in learning Python programming and coding from scratch. If you are already conversant in this language or another, you will learn some extremely interesting and significant information from this article that we are confident you were unaware of. Starting with an introductory chapter, you will learn about Python’s differences, benefits, and uses as well as some information about Machine Learning and Data Science. You will also learn how to install Python in accordance with your operating system in the subsequent chapters of this book, which will enable you to start out in the world of programming. All of the core components of Python, including data types, operators, control statements, loops, functions, modules, object-oriented programming (OOP), file management, and some other details, are listed after the introductory chapter.

Название: AI for Good: Applications in Sustainability, Humanitarian Action, and Health
Автор: Juan M. Lavista Ferres, William B. Weeks
Издательство: Wiley
Год: 2024
Страниц: 434
Язык: английский
Формат: pdf (true)
Размер: 30.4 MB

Discover how AI leaders and researchers are using AI to transform the world for the better. In AI for Good: Applications in Sustainability, Humanitarian Action, and Health, a team of veteran Microsoft AI researchers delivers an insightful and fascinating discussion of how one of the world's most recognizable software companies is tacking intractable social problems with the power of Artificial Intelligence (AI). We intend for this book to be available to a broad audience, in particular, those without expertise in Artificial Intelligence or Machine Learning. To make the book more accessible to that audience, we have purposely avoided including too many technical details of the studies. We have avoided the use of mathematical formulae and equations. Interested readers can find those in the references at the end of each chapter. Nonetheless, Artificial Intelligence and Machine Learning tools have their own language and applications and limitations; studies applying Artificial Intelligence and Machine Learning have common processes, practices, and terms. Therefore, in the following chapters, we provide a primer that defines Artificial Intelligence in lay terms, describes the applications and limitations of Artificial Intelligence, provides a brief glossary of commonly used practices and terms used in the application of Artificial Intelligence, and presents an overview of the structure that we applied to each of the chapters.

Название: Python Mastery: A Hands-On Guide from Hello World to Advanced Coding Techniques
Автор: Ben Marriachi
Издательство: Independently published
Год: 2024
Страниц: 215
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.3 MB

Python Mastery: From Novice to Coding Maestro. Are you an aspiring coder looking to unravel the mysteries of Python programming? Do you find yourself grappling with coding challenges and yearn for a guide that takes you from 'Hello World' to advanced coding techniques? Python has rapidly become one of the most popular and widely used programming languages over the past decade. Its simple syntax, vast standard library, and easy readability allow both beginners and experts alike to leverage its power for everything from basic scripting to advanced software applications. This comprehensive hands-on guide aims to take the reader from writing their very first "Hello World" program all the way to mastery of advanced Python coding techniques. We start from square one by helping you install Python and set up your programming environment. Before diving into code, you'll learn about basic concepts like variables, data types, conditional logic, and control flow - the building blocks of not just Python but all major programming languages. Building on these core principles, you'll start writing functions to organize your code into reusable blocks, using modules and packages to increase maintainability for larger programs. Manipulating data structures like lists, tuples, and dictionaries is a key skill in Python programming which this guide explores in-depth. You'll learn how to iterate through data efficiently with loops and comprehensions for power and performance. Working with text data and file I/O are also common tasks where Python excels, and full chapters are devoted to leveraging strings and text as well as reading and writing files while handling exceptions appropriately.

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.