Название: Python Mastery: A Hands-On Guide from Hello World to Advanced Coding Techniques
Автор: Веn Маrriасhi
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 javascript Applications with Node.js
Автор: Rаfmеsh Кumаr
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: The Complete Developer: Master the Full Stack with TypeScript, React, Next.js, MongoDB, and Docker
Автор: Маrtin Кrаusе
Издательство: No Starch Press
Год: 2024
Страниц: 344
Язык: английский
Формат: epub
Размер: 10.1 MB

A hands-on, beginner-friendly approach to developing complete web applications from the ground up, using javascript and its most popular frameworks, including Node.js and React.js. Whether you’ve been in the developer kitchen for decades or are just taking the plunge to do it yourself, The Complete Developer will show you how to build and implement every component of a modern stack—from scratch. You’ll go from a React-driven frontend to a fully fleshed-out backend with Mongoose, MongoDB, and a complete set of REST and GraphQL APIs, and back again through the whole Next.js stack. The book’s easy-to-follow, step-by-step recipes will teach you how to build a web server with Express.js, create custom API routes, deploy applications via self-contained microservices, and add a reactive, component-based UI. You’ll leverage command line tools and full-stack frameworks to build an application whose no-effort user management rides on GitHub logins. Covers: Docker, Express.js, javascript, Jest, MongoDB, Mongoose, Next.js, Node.js, OAuth, React, REST and GraphQL APIs, and TypeScript.

Название: Data Science: A First Introduction
Автор: Тiffаnу Тimbеrs, Тrеvоr Саmрbеll, Меlissа Lее
Издательство: CRC Press
Серия: Data Science Series
Год: 2022
Страниц: 443
Язык: английский
Формат: pdf (true)
Размер: 30.1 MB

Data Science: A First Introduction focuses on using the R programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. The text emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. All source code is available online, demonstrating the use of good reproducible project workflows. Based on educational research and active learning principles, the book uses a modern approach to R and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The book will leave readers well-prepared for Data Science projects. The use of Jupyter notebooks for exercises immediately places the student in an environment that encourages auditability and reproducibility of analyses. The integration of Git and GitHub into the course is a key tool for teaching about collaboration and community, key concepts that are critical to Data Science. The book is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates in the University of British Columbia’s DSCI100: Introduction to Data Science course.

Название: Analysis and Visualization of Discrete Data Using Neural Networks
Автор: Коji Коуаmаdа
Издательство: World Scientific Publishing
Год: 2024
Страниц: 230
Язык: английский
Формат: pdf (true)
Размер: 53.9 MB

This book serves as a comprehensive step-by-step guide on data analysis and statistical analysis. It covers fundamental operations in Excel, such as table components, formula bar, and ribbon, and introduces visualization techniques and PDE derivation using Excel. It also provides an overview of Google Colab, including code and text cells, and explores visualization and Deep Learning applications. Key features of the book include topics like statistical analysis, regression analysis, optimization, correlation analysis, and neural networks. It adopts a practical approach by providing examples and step-by-step instructions for learners to apply the techniques to real-world problems. The book also highlights the strengths and features of both Excel and Google Colab, allowing learners to leverage the capabilities of each platform. The clear explanations of concepts, visual aids, and code snippets aid comprehension help learners understand the principles of data analysis and statistical analysis. Overall, this book serves as a valuable resource for professionals, researchers, and students seeking to develop skills in data analysis, regression statistics, optimization, and advanced modeling techniques using Excel, Colab, and neural networks. Google Colaboratory (Colab for short) is a free cloud service provided by Google, where you can use the Jupyter notebook and Python to analyze data and build a model for Machine Learning.

Название: Measurements and Instrumentation for Machine Vision
Автор: Оlеg Sеrgiуеnkо, Wеndу Flоrеs-Fuеntеs
Издательство: CRC Press
Год: 2024
Страниц: 466
Язык: английский
Формат: pdf (true)
Размер: 42.3 MB

A comprehensive reference book that addresses the field of machine vision and its significance in cyber-physical systems. It explores the multidisciplinary nature of machine vision, involving electronic and mechatronic devices, Artificial Intelligence algorithms, embedded systems, control systems, robotics, interconnectivity, Data Science, and cloud computing. The book aims to provide advanced students, early career researchers, and established scholars with state-of-the-art knowledge and novel content related to the implementation of machine vision in engineering, scientific knowledge, and technological innovation. The chapters of the book delve into various topics and applications within the realm of machine vision. They cover areas such as camera and inertial measurement unit calibration, technical vision systems for human detection, design and evaluation of support systems using neural networks, UV sensing in contemporary applications, fiber Bragg grating arrays for medical diagnosis, color model creation for terrain recognition by robots, navigation systems for aircraft, object classification in infrared images, feature selection for vehicle/non-vehicle classification, visualization of sedimentation in extreme conditions, quality estimation of tea using machine vision, image dataset augmentation techniques, machine vision for astronomical images, etc. The use of current technology requires measuring essential attributes from objects, health data, dimensions of a surface and weather, to mention some. These are necessary to do breakthrough innovations in a wide range of fields. The Artificial Intelligence (AI) field is one of them. This field is aimed at the research for imitating human abilities, above all, how they learn. AI can be divided into two main branches such as Machine Learning and Deep Learning.

Название: Shared-Memory Synchronization, 2nd Edition
Автор: Мiсhаеl L. Sсоtt, Тrеvоr Вrоwn
Издательство: Springer
Серия: Synthesis Lectures on Computer Architecture
Год: 2024
Страниц: 251
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book offers a comprehensive survey of shared-memory synchronization, with an emphasis on “systems-level” issues. It includes sufficient coverage of architectural details to understand correctness and performance on modern multicore machines, and sufficient coverage of higher-level issues to understand how synchronization is embedded in modern programming languages. The primary intended audience for this book is “systems programmers”—the authors of operating systems, library packages, language run-time systems, concurrent data structures, and server and utility programs. Much of the discussion should also be of interest to application programmers who want to make good use of the synchronization mechanisms available to them, and to computer architects who want to understand the ramifications of their design decisions on systems-level code. This second edition, published roughly a decade after the original, has numerous small improvements throughout—clarifications, bug fixes, and references to newer work. It also incorporates two major updates. First, we have re-worked and clarified the memory model and notation used in our examples. In particular, we now employ explicit load and store operations for all accesses to shared (atomic) variables, and we have adopted the C++ convention of making such accesses fully ordered (sequentially consistent) unless otherwise noted. These conventions necessitated changes to most of our algorithmic pseudocode.

Название: Exploring the Python Library Ecosystem: A Comprehensive Guide
Автор: Каmеrоn Нussаin, Frаhааn Нussаin
Издательство: Sonar Publishing
Год: November 8, 2023
Страниц: 321
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

"Exploring the Python Library Ecosystem: A Comprehensive Guide" is your essential companion on a journey through the rich and diverse world of Python libraries. Whether you're a beginner looking to harness the power of Python for the first time or an experienced developer seeking to expand your toolkit, this comprehensive guide offers valuable insights and hands-on knowledge to help you make the most of Python's extensive library ecosystem. Inside this book, you'll delve into the heart of Python development, uncovering a vast array of libraries and modules that can streamline your projects, boost productivity, and supercharge your code. From data science and web development to software engineering and beyond, Python libraries play a pivotal role in nearly every aspect of modern programming. Python libraries are essential tools for developers and data scientists. They are collections of pre-written code that provide various functionalities, making it easier to perform common tasks in Python programming. These libraries save time and effort by allowing users to leverage existing code rather than starting from scratch.

Название: Computational Intelligence-based Optimization Algorithms: From Theory to Practice
Автор: Ваbаk Zоlghаdr-Аsli
Издательство: CRC Press
Год: 2024
Страниц: 357
Язык: английский
Формат: pdf (true)
Размер: 32.1 MB

Computational intelligence-based optimization methods, also known as metaheuristic optimization algorithms, are a popular topic in mathematical programming. These methods have bridged the gap between various approaches and created a new school of thought to solve real-world optimization problems. In this book, we have selected some of the most effective and renowned algorithms in the literature. These algorithms are not only practical but also provide thought-provoking theoretical ideas to help readers understand how they solve optimization problems. Each chapter includes a brief review of the algorithm’s background and the fields it has been used in. Additionally, Python code is provided for all algorithms at the end of each chapter, making this book a valuable resource for beginner and intermediate programmers looking to understand these algorithms.

Название: Artificial Intelligence and Multimedia Data Engineering
Автор: Sumаn Кumаr Swаrnkаr, Sарnа Singh Кshаtri, Virеndrа Кumаr Swаrnkаr
Издательство: Bentham Science
Год: December 19, 2023
Страниц: 134
Язык: английский
Формат: pdf (true), epub
Размер: 28.8 MB

Welcome to "Artificial Intelligence and Multimedia Data Engineering Vol. 1". In this book, we embark on a captivating journey through the cutting-edge realms of Artificial Intelligence (AI) and multimedia data engineering, exploring the remarkable synergies that exist between these two rapidly evolving fields. This fusion of AI and multimedia data engineering has opened up unprecedented opportunities for innovation and has profoundly impacted various industries, making it essential for researchers, practitioners, and enthusiasts alike to stay at the forefront of this dynamic landscape. Advancements in AI, coupled with the explosive growth of multimedia data, have revolutionized the way we interact with technology and perceive the world around us. From Computer Vision and natural language processing (NLP) to Deep Learning and intelligent systems, AI has become an indispensable part of our lives, shaping our experiences in ways we could have only imagined a few decades ago. Furthermore, multimedia data, including images, videos, audio, and other sensor-generated content, has become an integral part of our digital existence, leading to the creation of a vast ocean of information that needs to be efficiently processed and harnessed.