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Quantum Machine Learning: An Applied Approach
Quantum Machine Learning: An Applied Approach

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research. The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power of physics. Subsequent chapters follow a systematic deep dive into various quantum machine learning algorithms, quantum optimization, applications of advanced QML algorithms (quantum k-means, quantum k-medians, quantum neural networks, etc.), qubit state preparation for specific QML algorithms, inference, polynomial Hamiltonian simulation, and more, finishing with advanced and up-to-date research areas such as quantum walks, QML via Tensor Networks, and QBoost. Hands-on exercises from open source libraries regularly used today in industry and research are included, such as Qisk ...
Philosophy of Computer Science
Philosophy of Computer Science

This book looks at some of the central issues in the philosophy of computer science. It is not designed to answer all (or even any) of the philosophical questions that can be raised about the nature of computing, computers, and computer science. Rather, it is designed to "bring you up to speed" on a conversation about these issues - to give you some background knowledge - so that you can read the literature for yourself and perhaps become part of the conversation by contributing your own views. This book is intended for readers who might know some philosophy but no computer science, readers who might know some computer science but no philosophy, and readers who know little or nothing about both! So, although most of the book will be concerned with what computer science is, we will begin by asking: What is philosophy? And, in particular: What is "the philosophy of X?" (where X = things like: science, psychology, history, etc., and, of course, computer science). ...
Is Parallel Programming Hard, And, If So, What Can You Do About It?
Is Parallel Programming Hard, And, If So, What Can You Do About It?

The purpose of this book is to help you program shared-memory parallel systems without risking your sanity. Nevertheless, you should think of the information in this book as a foundation on which to build, rather than as a completed cathedral. Your mission, if you choose to accept, is to help make further progress in the exciting field of parallel programming-progress that will in time render this book obsolete. Parallel programming in the 21st century is no longer focused solely on science, research, and grand-challenge projects. And this is all to the good, because it means that parallel programming is becoming an engineering discipline. Therefore, as befits an engineering discipline, this book examines specific parallel-programming tasks and describes how to approach them. In some surprisingly common cases, these tasks can be automated. This book is written in the hope that presenting the engineering discipline underlying successful parallel-programming projects will free a ne ...
HackSpace Magazine: Issue 45
HackSpace Magazine: Issue 45

This issue we're paying homage to some of our favourite projects built on the Raspberry Pi. We're living in a golden age for experimentation, accessible making and digital discovery - and a large part of that is thanks to this teeny tiny computer. Just add imagination! - How one maker achieved perfection (yes, really!) by embracing failure; - Our pick of the best walking robot kits; - A deceptively simple hack for printing large objects (hint - you make the printer bigger); - Homebrew improvements to a cheap CNC machine; - How to put an oak handle on an old kitchen knife; - ... and loads more. ...
How To Code in React.js
How To Code in React.js

This open book is an introduction to React that works from the foundations upward. Each chapter takes you a little deeper into the React ecosystem, building on your previous knowledge. Along the way, you'll learn how to maintain internal state, pass information between parts of an application, and explore different options for styling your application. Whether you are completely new to React or if you've worked with it before, this series will be accessible to you. Every chapter is self contained, so you can jump between chapters or skip whole sections. The book is designed for you to take a concept and explore it by building a small project that mirrors what you will encounter in everyday development using React. ...
SQL Pocket Guide, 4th Edition
SQL Pocket Guide, 4th Edition

If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is your ideal on-the-job reference. You'll find many examples that address the language's complexities, along with key aspects of SQL used in Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL, and SQLite. In this updated edition, author Alice Zhao describes how these database management systems implement SQL syntax for both querying and making changes to a database. You'll find details on data types and conversions, regular expression syntax, window functions, pivoting and unpivoting, and more. Quickly look up how to perform specific tasks using SQL; Apply the book's syntax examples to your own queries; Update SQL queries to work in five different database management systems; Connect Python and R to a relational database; Look up frequently asked SQL questions in the "How Do I?" chapter. ...
Tableau Strategies
Tableau Strategies

If you want to increase Tableau's value to your organization, this practical book has your back. Authors Ann Jackson and Luke Stanke guide data analysts through strategies for solving real-world analytics problems using Tableau. Starting with the basics and building toward advanced topics such as multidimensional analysis and user experience, you'll explore pragmatic and creative examples that you can apply to your own data. Staying competitive today requires the ability to quickly analyze and visualize data and make data-driven decisions. With this guide, data practitioners and leaders alike will learn strategies for building compelling and purposeful visualizations, dashboards, and data products. Every chapter contains the why behind the solution and the technical knowledge you need to make it work. Use this book as a high-value on-the-job reference guide to Tableau; Visualize different data types and tackle specific data challenges; Create compelling data visualizations, dashb ...
Learning Algorithms
Learning Algorithms

When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author George Heineman (Algorithms in a Nutshell) provides concise and informative descriptions of key algorithms that improve coding. Software developers, testers, and maintainers will discover how algorithms solve computational problems creatively. Each chapter builds on earlier chapters through eye-catching visuals and a steady rollout of essential concepts, including an algorithm analysis to classify the performance of every algorithm presented in the book. At the end of each chapter, you'll get to apply what you've learned to a novel challenge problem - simulating the experience you might find in a technical code interview. With this book, you will: Examine fundamental algorithms central to computer science and software engineering; Learn common strategies for efficient problem solving - such as divide and conquer, dynamic p ...
Linux Cookbook, 2nd Edition
Linux Cookbook, 2nd Edition

This handy cookbook teaches new-to-intermediate Linux users the essential skills necessary to manage a Linux system, using both graphical and command-line tools. Whether you run Linux in embedded, desktop, server, or cloud or virtual environments, the fundamental skills are the same. This book aims to get you up and running quickly, with copy-paste examples. Carla Schroder provides recipes that cover specific problems, with discussions that explain how each recipe works, as well as references for additional study. You'll learn how to: Use systemd, the new comprehensive service manager; Build simple or complex firewalls with firewalld; Set up secure network connections for Linux systems and mobile devices; Rescue nonbooting systems; Reset lost passwords on Linux and Windows; Use dnsmasq to simplify managing your LAN name services; Manage users and groups and control access to files; Probe your computer hardware and monitor hardware health; Manage the GRUB bootloader and multiboot ...
OpenShift for Developers, 2nd Edition
OpenShift for Developers, 2nd Edition

Ready to build cloud native applications? Get a hands-on introduction to daily life as a developer crafting code on OpenShift, the open source container application platform from Red Hat. Creating and packaging your apps for deployment on modern distributed systems can be daunting. Too often, adding infrastructure value can complicate development. With this practical guide, you'll learn how to build, deploy, and manage a multitiered application on OpenShift. Authors Joshua Wood and Brian Tannous demonstrate how OpenShift speeds application development. With the Kubernetes container orchestrator at its core, OpenShift simplifies and automates the way you build, ship, and run code. You'll learn how to use OpenShift and the Quarkus Java framework to develop and deploy apps using proven enterprise technologies and practices that you can apply to code in any language. Learn the development cycles for building and deploying on OpenShift, and the tools that drive them; Use OpenShift to ...
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