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Comer Douglas: Operating System Design

Operating System Design

The Xinu Approach

This second edition continues to present meaningful and practical solutions for teaching mathematics and statistics online, focusing on the problems observed by mathematics instructors currently working in the field. With its set of standard practices, instructors will benefit from learning many new techniques and approaches.

This second edition continues to present meaningful and practical solutions for teaching mathematics and statistics online, focusing on the problems observed by mathematics instructors currently working in the field. With its set of standard practices, instructors will benefit from learning many new techniques and approaches.

Teaching and Learning Mathematics Online

This cross-disciplinary field utilizes the strange effects of quantum mechanics to enable information processing and computing that would be impossible on traditional 'classical' computers. The field has developed rapidly over the last few years due in part to its tremendous technological potential. The theoretical foundations of the subject are clearly established and good textbooks are available. However, many experimental directions are under investigation and hardly any book describing them is available on the market. Quantum cryptography, for example, has already evolved to marketable devices. Most of the books on quantum information and/or quantum computing address the important aspect of optical implementation only briefly. This book solves that by focusing on all light-based approaches to quantum computing.

This cross-disciplinary field utilizes the strange effects of quantum mechanics to enable information processing and computing that would be impossible on traditional 'classical' computers. The field has developed rapidly over the last few years due in part to its tremendous technological potential. The theoretical foundations of the subject are clearly established and good textbooks are available. However, many experimental directions are under investigation and hardly any book describing them is available on the market. Quantum cryptography, for example, has already evolved to marketable devices. Most of the books on quantum information and/or quantum computing address the important aspect of optical implementation only briefly. This book solves that by focusing on all light-based approaches to quantum computing.

Quantum Information Processing with Light

Chapman & Hall/CRC Studies in Informatics Series

Presenting first-order and propositional methods as well as implementation issues, this book provides a state-of-the-art introduction to the automation of logic. It focuses on superposition calculus and related rewriting techniques. It also covers decision procedures for certain theories and includes real-world applications. Along with the relevant theory, each chapter contains implementation methods, historical background, suggestions for further reading, and software. Supplemental materials and resources are provided on the book's website and a solutions manual is available for qualifying instructors.

Presenting first-order and propositional methods as well as implementation issues, this book provides a state-of-the-art introduction to the automation of logic. It focuses on superposition calculus and related rewriting techniques. It also covers decision procedures for certain theories and includes real-world applications. Along with the relevant theory, each chapter contains implementation methods, historical background, suggestions for further reading, and software. Supplemental materials and resources are provided on the book’s website and a solutions manual is available for qualifying instructors.

Automation of Logic

Learning to code has never been easier than with this innovative visual guide to computer programming for beginners. In our digital world, coding skills are in high demand and the need for programmers is still growing. Taking the first steps in learning to code may seem daunting, but by using a graphic method to break code into small chunks, this book brings essential skills easily within reach. Each chapter explores one of the most popular languages, with practical programming projects to show you how programming works. You'll learn to think like a programmer by breaking a problem down into parts before turning those parts into lines of code. Short, easy-to-follow steps then show you, piece by piece, how to build a complete program. There are challenges for you to tackle to build your confidence before moving on. Written by a team of expert coders and coding teachers, the Beginner's Step-by-Step Coding Course is the ideal way to understand coding.

Learn Computer Programming the Easy Way

Beginner's Step-by-Step Coding Course

This edited volume presents the application of machine learning and artificial intelligence to optical and wireless systems in a cohesive manner to enable readers to access and comprehend the latest advances. A vital resource for professionals and researchers in the fields of electrical and computer engineering, and computer science.

This edited volume presents the application of machine learning and artificial intelligence to optical and wireless systems in a cohesive manner to enable readers to access and comprehend the latest advances. A vital resource for professionals and researchers in the fields of electrical and computer engineering, and computer science.

Applications of Machine Learning and Artificial Intelligence

Optical and Wireless Communications

A comprehensive introduction to the fundamentals of prompt engineering with ChatGPT Hands-On Prompt Engineering: Learning to Program ChatGPT Using OpenAI APIs is a practical and essential resource for any professional looking to implement AI in their business. This book teaches you the basics of prompt engineering, which lets you program ChatGPT to perform tasks. It focuses on business applications of AI and walks you through the process of implementing techniques and algorithms using available software tools. You'll also learn the approaches and best practices that have led to success for leaders in this area. Prompt engineering differs from the process of coding traditional queries in a few key ways. With prompt engineering, task descriptions are formulated as questions, so the description of the task is embedded in the input given to the AI. Additionally, some language models can be trained to complete tasks using information contained in the prompts (prompt-based learning). Hands-On Prompt Engineering teaches you to work with these and pretrained models using Python code. Learn what types of AI language model tasks can be productively automated through prompt engineeringUse Python to program OpenAI's ChatGPT3 and add business valueDiscover the best practices and proven techniques in the emerging field of prompt engineeringGet hands-on guidance for optimizing the output you receive from ChatGPT and other AI models Hands-On Prompt Engineering is an essential resource for software engineers, MLOps engineers, data scientists, and other business professionals interested in utilizing AI and natural language processing with prompt engineering.

A comprehensive introduction to the fundamentals of prompt engineering with ChatGPT

Hands-On Prompt Engineering: Learning to Program ChatGPT Using OpenAI APIs is a practical and essential resource for any professional looking to implement AI in their business. This book teaches you the basics of prompt engineering, which lets you program ChatGPT to perform tasks. It focuses on business applications of AI and walks you through the process of implementing techniques and algorithms using available software tools. You'll also learn the approaches and best practices that have led to success for leaders in this area.

Prompt engineering differs from the process of coding traditional queries in a few key ways. With prompt engineering, task descriptions are formulated as questions, so the description of the task is embedded in the input given to the AI. Additionally, some language models can be trained to complete tasks using information contained in the prompts (prompt-based learning). Hands-On Prompt Engineering teaches you to work with these and pretrained models using Python code.
* Learn what types of AI language model tasks can be productively automated through prompt engineering
* Use Python to program OpenAI's ChatGPT3 and add business value
* Discover the best practices and proven techniques in the emerging field of prompt engineering
* Get hands-on guidance for optimizing the output you receive from ChatGPT and other AI models

Hands-On Prompt Engineering is an essential resource for software engineers, MLOps engineers, data scientists, and other business professionals interested in utilizing AI and natural language processing with prompt engineering.

Learning to Program ChatGPT Using OpenAI APIs

Hands-On Prompt Engineering

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data. The book builds on the idea that qualitative and mixed methods researchers should not have to learn to code to benefit from rigorous open-source, cost-free software that uses artificial intelligence, machine learning, and data visualization tools-just as people do not need to know C++ or TypeScript to benefit from Microsoft Word. The real barrier is the hundreds of R code lines required to apply these concepts to their databases. By removing the coding proficiency hurdle, this book will empower their research endeavors and help them become active members of and contributors to the applied data science community. The book offers a comprehensive explanation of data science and machine learning methodologies, along with access to software application tools to implement these techniques without any coding proficiency. The book addresses the need for innovative tools that enable researchers to tap into the insights that come out of cutting-edge data science tools with absolutely no computer language literacy requirements.

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence

Lecture Notes in Computer Science

International Standard ISO/IEC 8652:2023 (E)

Ada 2022 Reference Manual. Volume 2 - Standard Libraries and Interfacing

The bestselling introduction to Python programming, revised to include the latest Python features, improved explanations, and new chapters about databases and sound files. If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do this work for you? In this fully revised third edition of Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Early chapters will teach you the fundamentals of Python through clear explanations and engaging examples. You’ll write your first Python program; work with strings, lists, dictionaries, and other data structures; then use regular expressions to find and manipulate text patterns.&nbsp; Once you’ve mastered the basics, you’ll tackle projects that teach you to use Python to automate tasks like: <ul><li> Searching the web, downloading content, and filling out forms</li><li>Finding, extracting, and manipulating text and data in files and spreadsheets</li><li>Copying, moving, renaming, or compressing saved files on your computerSplitting, merging, and extracting text from PDFs and Word documents</li><li>Interacting with applications through custom mouse and keyboard macros</li><li>Managing your inbox, unsubscribing from lists, and sending email or text notifications</li></ul> New to this edition: All code and examples have been thoroughly updated. You’ll also find four new chapters on database integration, speech recognition, and audio and video editing, as well as 16 new programming projects and expanded coverage of developer techniques like creating command line programs. Don’t spend your time on work a well-trained monkey could do. Even if you’ve never written a line of code, you can pass off that grunt work to your computer. Learn how in Automate the Boring Stuff with Python.

The bestselling introduction to Python programming, revised to include the latest Python features, improved explanations, and new chapters about databases and sound files. If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do this work for you? In this fully revised third edition of Automate the Boring Stuff with Python, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Early chapters will teach you the fundamentals of Python through clear explanations and engaging examples. You’ll write your first Python program; work with strings, lists, dictionaries, and other data structures; then use regular expressions to find and manipulate text patterns.&nbsp; Once you’ve mastered the basics, you’ll tackle projects that teach you to use Python to automate tasks like: <ul><li> Searching the web, downloading content, and filling out forms</li><li>Finding, extracting, and manipulating text and data in files and spreadsheets</li><li>Copying, moving, renaming, or compressing saved files on your computerSplitting, merging, and extracting text from PDFs and Word documents</li><li>Interacting with applications through custom mouse and keyboard macros</li><li>Managing your inbox, unsubscribing from lists, and sending email or text notifications</li></ul> New to this edition: All code and examples have been thoroughly updated. You’ll also find four new chapters on database integration, speech recognition, and audio and video editing, as well as 16 new programming projects and expanded coverage of developer techniques like creating command line programs. Don’t spend your time on work a well-trained monkey could do. Even if you’ve never written a line of code, you can pass off that grunt work to your computer. Learn how in Automate the Boring Stuff with Python.

Automate the Boring Stuff with Python, 3rd Edition

Digital Twin and Blockchain for Sensor Networks in Smart Cities explores how digital twins and blockchain can be used in the functioning of the smart city. The book is divided into five sections. Section 1 focuses on the fundamental concepts of blockchain and digital twin for sensor networks in the smart cities, while section 2 describes their promising applications for managing the regular operations and services. Sections 3 and 4 deal with their applications for safe and healthy cities, respectively. The last section covers other promising applications and future perspectives of blockchain and digital twin in the urban environment. Big data from wireless sensor networks in the smart city can be integrated to accommodate the exchanging of real-time data between citizens, governments, and organizations. Blockchain technology can provide high security for large communications and transactions between many stakeholders in smart cities. Digital twins provide the use of physical models/wireless sensor networks/historical data of city operation to integrate big information under multi-discipline, multi-physical quantities, multi-scale, and multi-probability conditions.

Digital Twin and Blockchain for Sensor Networks in Smart Cities

Chapman & Hall/CRC Machine Learning & Pattern Recognition

A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are available on GitHub and can be run from there in Binder in a web browser.

A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are available on GitHub and can be run from there in Binder in a web browser.

A Concise Introduction to Machine Learning

Operating System Design

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Bibliografische Angaben

Schlagworte

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