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Osmani Addy: Building Web Apps with Bolt

Building Web Apps with Bolt

Unlock the Future of AI-First Development

Quantum Computing: Principles and Paradigms covers a broad range of topics, providing a state-of-the-art and comprehensive reference for the rapid progress in the field of quantum computing and related technologies from major international companies (such as IBM, Google, Intel, Rigetti, Q-Control) and academic researchers. This book appeals to a broad readership, as it covers comprehensive topics in the field of quantum computing, including hardware, software, algorithms, and applications, with chapters written by both academic researchers and industry developers. This book presents readers with the fundamental concepts of quantum computing research, along with the challenges involved in developing practical devices and applications.

Principles and Paradigms

Quantum Computing

"Think you know JavaScript? Think again. This isn't your typical coding book--it's a deep dive into the powerful world of data structures and algorithms that will transform the way you approach problem solving in JavaScript. Whether you're a front-end developer tackling complex applications, a back-end engineer building scalable systems, or a programmer preparing for technical interviews, this book will revolutionize the way you code."--

Data Structures and Algorithms in JavaScript

"This book covers how to build software products with machine-learning components and provides a holistic view of ML systems built to achieve safety, security, usability, fairness in the real world"--

From Models to Products

Machine Learning in Production

This book provides an introduction to mathematics and programming that is specifically designed for use by those engaged in the humanities. Linking mathematical concepts and computational skills, the chapters in this book explore humanistic questions from diverse fields, such as art, history and literature.

Mathematics and Programming in Context

Computational Literacy for the Humanities

Eager to learn AI and machine learning but unsure where to start? Laurence Moroney's hands-on, code-first guide demystifies complex AI concepts without relying on advanced mathematics. Designed for programmers, it focuses on practical applications using PyTorch, helping you build real-world models without feeling overwhelmed. From computer vision and natural language processing (NLP) to generative AI with Hugging Face Transformers, this book equips you with the skills most in demand for AI development today. You'll also learn how to deploy your models across the web and cloud confidently. <ul> <li>Gain the confidence to apply AI without needing advanced math or theory expertise </li><li>Discover how to build AI models for computer vision, NLP, and sequence modeling with PyTorch </li><li>Learn generative AI techniques with Hugging Face Diffusers and Transformers
</li></ul>

A Coder's Guide to Generative AI and Machine Learning

AI and ML for Coders in Pytorch

Probability for Deep Learning Quantum provides readers with the first book to address probabilistic methods in the deep learning environment and the quantum technological area simultaneously, by using a common platform: the Many-Sorted Algebra (MSA) view. While machine learning is created with a foundation of probability, probability is at the heart of quantum physics as well. It is the cornerstone in quantum applications. These applications include quantum measuring, quantum information theory, quantum communication theory, quantum sensing, quantum signal processing, quantum computing, quantum cryptography, and quantum machine learning. Although some of the probabilistic methods differ in machine learning disciplines from those in the quantum technologies, many techniques are very similar. Probability is introduced in the text rigorously, in Komogorov’s vision. It is however, slightly modified by developing the theory in a Many-Sorted Algebra setting. This algebraic construct is also used in showing the shared structures underlying much of both machine learning and quantum theory. Both deep learning and quantum technologies have several probabilistic and stochastic methods in common. These methods are described and illustrated using numerous examples within the text. Concepts in entropy are provided from a Shannon as well as a von-Neumann view. Singular value decomposition is applied in machine learning as a basic tool and presented in the Schmidt decomposition. Besides the in-common methods, Born’s rule as well as positive operator valued measures are described and illustrated, along with quasi-probabilities. Author Charles R. Giardina provides clear and concise explanations, accompanied by insightful and thought-provoking visualizations, to deepen your understanding and enable you to apply the concepts to real-world scenarios.

A Many-Sorted Algebra View

Probability for Deep Learning Quantum

Wiley-Arm Professional Computing and Electrical Engineering Series

Provides a comprehensive introduction to microprocessor architecture and programming concepts, using the Arm® Cortex®-M0 processor as an example The Microprocessor offers a supremely accessible and user-friendly introduction to microprocessor basics: instruction set, the exception model, system architecture and microcontroller programming. Explaining the working principles with simplified models, this first-level book builds the base for all onward courses at intermediate and advanced levels. Filled with exercises that can be executed on the free version of Keil® ¿Vision® MDK without any hardware, the book explains the essential aspects of microprocessor architecture with simple programming examples in assembly and C. By blending conceptual knowledge with practical exercises, the book offers valuable insights that equip readers to engage with real-world applications in the fields of microprocessor architecture and embedded systems.

A Practical Introduction using the Arm Cortex-M0 Processor

The Microprocessor

This book illustrates statistics with the R programming language, an emerging tool in data science. Filled with techniques for data science and analytics programming, the book is written for students and professionals. It is focused on learning outcomes and problem solving.

Demystifying Probability and Statistics for Data Scientists with R

Tcl/Tk: A Developer's Guide, Fourth Edition is an essential resource for computer professionals, from systems administrators to programmers. It covers new Tcl features, expanded Tcl-OO coverage, web technology using Rivet and SQLite, and AI integration with AWS. The book also delves into Tcl's standard tools, multi-faceted nature, and extensibility, making it ideal for developing GUIs, client/server middleware, and web applications. Readers will quickly learn to code in Tcl and extend its capabilities with the inclusion of numerous code examples and case studies. The updated edition includes over 150 pages on the latest Tcl extensions, proven techniques, and tools for effective programming. Extensive code snippets and online tutorials enhance understanding, while case studies provide practical insights. The book also discusses Tcl's role as the hidden "secret sauce" in commercial applications, highlighting its graphics and control infrastructure. With a vibrant user community and evolving API, Tcl/Tk remains a powerful and versatile programming platform for both beginners and experienced programmers.

A Developer's Guide

Tcl/Tk

"International Perspectives on Science, Culture and Society"

The book addresses new challenges to garbage collection made by recent advances in hardware and software. It explores the consequences of these changes for designers and implementers of high performance garbage collectors

The Art of Automatic Memory Management

The Garbage Collection Handbook

Looking to accelerate development and build cloud native applications with AWS Cloud Development Kit? Through hands-on projects, you'll learn the basics of AWS CDK, the tool of choice for many of the world's largest technology companies. Informed by real case studies and years of work with enterprise-scale cloud architectures, this book will benefit both novice and advanced cloud developers. It's complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions to help you build a shareable portfolio of completed projects, demonstrating your ability to build cloud infrastructure at scale. You'll explore: <ul> <li>Basic cloud computing concepts, including the AWS Well-Architected Framework </li><li>End-to-end cloud native software and infrastructure as code </li><li>The benefits of a reusable code library to accelerate your projects </li><li>Functional modules of code that can stand alone or build toward an integrated cloud application </li></ul>

Building Cloud Native Applications with Infrastructure-As-Code

Hands-On AWS Cdk

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

Building Web Apps with Bolt

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