This book is aimed at students who want to learn quantum computing beyond a conceptual level, but who lack advanced training in mathematics. The only prerequisite is trigonometry, and mathematics beyond that will be covered, including linear algebra. Dr Thomas G Wong begins with a significant overview of classical computing, from how they add numbers to their computational limits, and it mirrors many of the quantum computing topics that are covered later.

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With the subtitle "Master OOP by Building Games and GUIs", this is a guide to mastering object-oriented programming from the ground up. Irv Kalb covers the basics of building classes and creating objects, and puts theory into practice using the pygame package with clear examples that help visualize the object-oriented style. The book explores the key concepts of object-oriented programming — encapsulation, polymorphism, and inheritance — and shows best practices for doing so. Finally, you’ll bring it all together by building a complex video game, complete with full animations and sounds.

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This book is designed to help development teams plan, track, and manage work far more effectively, by combining today's leading agile framework (Scrum) and Microsoft's ALM/DevOps toolset (Azure DevOps). Richard Hundhausen covers team formation, backlogs, Sprints, test plans, collaboration, flow, continuous improvement, Azure Boards, Azure Test Plans, and the real-world tradeoffs associated with DevOps.

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This book focuses on the esthetics and creativity of a new generation of designers who are using algorithm-supported tools along the vertical.  Christoph Grünberger asked the biggest names in the world of data-driven design to present their most important work on the basis of facts, aspects, and stories and to provide insights into their creative processes. These range from the vision via the underlying code and challenges in the implementation concept, to the finished work.

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This book teaches data preprocessing techniques from multiple perspectives. Roy Jafari looks at different technical and analytical aspects of data preprocessing – data collection, data cleaning, data integration, data reduction, and data transformation – and describes how to get to grips with implementing them using the open source Python programming environment.

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This book starts with a 9-chapter course that gets anyone off to a great start building object-oriented applications in Java. Joel Murach then builds on that base by presenting more on object-oriented programming, the essentials for developing GUIs, and additional skills that every professional Java programmer should have, including how to work with a database. By the end of the book, Murach has covered Java skills including developing object-oriented applications that use a graphical user interface (GUI) and a database.

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This book aims to shake off the dusty, dull, dryness of the typical programming book, replacing it with something more exciting and flavorful. R B Whitaker combines a bit of humor, a casual tone, and examples involving dragons and asteroids instead of bank accounts and employees. And since you learn to program by doing instead of just reading, this book contains over 100 hands-on programming challenges.

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This book is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. Anthony DeBarros, a journalist and data analyst, focuses on using SQL to find the story within your data. The examples and code use the open-source database PostgreSQL and its companion pgAdmin interface, and the concepts you learn will apply to most database management systems, including MySQL, Oracle, SQLite, and others.

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In this book, Marco Faella teaches techniques for writing better code. You’ll start with a simple application and follow it through seven careful refactorings, each designed to explore another dimension of quality. The book explores fundamental dimensions of code quality by enhancing a simple implementation into a robust, professional-quality application. Questions, exercises, and Java-based examples ensure you’ll get a firm grasp of the concepts as you go.

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This book sets out to demystify quantum computing. Using Python and the new quantum programming language Q#, Dr. Sarah Kaiser and Dr. Chris Granade show how to build a quantum simulator and apply quantum programming techniques to real-world examples including cryptography and chemical analysis. The book shows how to take advantage of Microsoft’s open source tools to fine-tune quantum algorithms. The authors explain complex math and theory through stories, visuals, and games.

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This book provides a retrospective, not of a single project or subproject, but on an entire career in the software industry. James Bonang conveys solutions to the eclectic problems you'll encounter as a software professional. The book provides encounters with interesting software engineering personalities, homicidal computers, ancient gods and an extra-solar interloper. You'll match wits with the world's greatest (fictional) detective and discover how top engineers determine the root cause of the most catastrophic software failures. You'll absorb a lifetime of experience without all the fuss.

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This book looks at writing Go command-line tools to automate tasks, analyze data, parse logs, talk to network services, or address other systems requirements. Ricardo Gerardi shows how to create command-line tools that work with files, connect to services, and even manage external processes, all while using tests and benchmarks to ensure your programs are fast and correct.

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