Products related to Programming:
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Asynchronous Programming with SwiftUI and Combine : Functional Programming to Build UIs on Apple Platforms
Develop UI-heavy applications more easily, faster, and error-free.Based on several enhancements to the Swift language, SwiftUI takes a declarative approach to building UIs.Instead of imperatively coding the UI, this book will show you how to describe how you want your UI to look.SwiftUI treats the UI as a function of its state, thereby making managing your app’s state a lot easier.Change the underlying data model to redraw all parts of the UI that are connected to that particular slice of data.Likewise, easily update the underlying data model from the UI elements your data model is connected to.Combine is Apple’s Functional Reactive Programming framework.It complements SwiftUI and other frameworks, such as the networking APIs, in a natural way.Using Combine, you can subscribe to events and describe data processing in a way that is free of side effects.This allows for an easier implementation of event-driven applications. Using SwiftUI and Combine build moreerror-free apps in a shorter amount of time, targeting all of Apple’s platforms (iOS, iPadOS, watchOS, macOS, tvOS) with little to no overhead. By the end of the book you will have a solid understanding for architecting and implementing UI-heavy apps in a declarative and functional reactive way using SwiftUI, Combine, and async/await. You will:- Build simple and gradually more complex UIs in SwiftUI - Understand SwiftUI’s state management system- Work with Combine and Swift’s new async/await APIs to access the network and access other asynchronous APIs- Architect and structure modern applications on Apple platforms using SwiftUI, Combine, and async/await
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Programming Scala : Scalability = Functional Programming + Objects
Get up to speed on Scala--the JVM, JavaScript, and natively compiled language that offers all the benefits of functional programming, a modern object model, and an advanced type system.Packed with code examples, this comprehensive book shows you how to be productive with the language and ecosystem right away.You'll learn why Scala is ideal for building today's highly scalable, data-centric applications, while maximizing developer productivity. While Java remains popular and Kotlin has become popular, Scala hasn't been sitting still.This third edition covers the new features in Scala 3.0 with updates throughout the book.Programming Scala is ideal for beginning to advanced developers who want a complete understanding of Scala's design philosophy and features with a thoroughly practical focus. Program faster with Scala's succinct and flexible syntaxDive into basic and advanced functional programming techniquesBuild killer big data and distributed apps using Scala's functional combinators and tools like Spark and AkkaCreate concise solutions to challenging design problems with the sophisticated type system, mixin composition with traits, pattern matching, and more
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Programming Challenges : The Programming Contest Training Manual
There are many distinct pleasures associated with computer programming.Craftsmanship has its quiet rewards, the satisfaction that comes from building a useful object and making it work.Excitement arrives with the flash of insight that cracks a previously intractable problem.The spiritual quest for elegance can turn the hacker into an artist.There are pleasures in parsimony, in squeezing the last drop of performance out of clever algorithms and tight coding. The games, puzzles, and challenges of problems from international programming competitions are a great way to experience these pleasures while improving your algorithmic and coding skills.This book contains over 100 problems that have appeared in previous programming contests, along with discussions of the theory and ideas necessary to attack them.Instant onlinegrading for all of these problems is available from two WWW robot judging sites.Combining this book with a judge gives an exciting new way to challenge and improve your programming skills. This book can be used for self-study, for teaching innovative courses in algorithms and programming, and in training for international competition. The problems in this book have been selected from over 1,000 programming problems at the Universidad de Valladolid online judge.The judge has ruled on well over one million submissions from 27,000 registered users around the world to date.We have taken only the best of the best, the most fun, exciting, and interesting problems available.
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Java Programming
Discover the power of Java for developing applications today with the engaging, hands-on approach in Farrell's JAVA PROGRAMMING, 10th edition.Even if you're a first-time programmer, JAVA PROGRAMMING can show you step-by-step how to quickly start developing useful programs, all while mastering the basic principles of structured and object-oriented programming.Up-to-date, reader-friendly explanations and meaningful programming and collaboration exercises emphasize business applications, while useful debugging exercises and contemporary case problems further expand your understanding.Offering anywhere, anytime learning, MindTap equips you with an additional online learning platform, interactive learning tools and auto-graded coding labs for practicing and expanding your skills.
Price: 69.99 £ | Shipping*: 0.00 £
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On which platforms do you practice programming?
I practice programming on various platforms such as GitHub, LeetCode, HackerRank, and Codecademy. These platforms offer a range of coding challenges, projects, and tutorials that help me improve my programming skills. Additionally, I also use integrated development environments (IDEs) like Visual Studio Code and PyCharm for writing and testing code.
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Which programming language is suitable for programming?
The suitability of a programming language depends on the specific requirements of the project. Some popular programming languages like Python, Java, and JavaScript are versatile and widely used for a variety of applications. For web development, JavaScript is commonly used for front-end development, while Python and Java are popular for back-end development. Ultimately, the best programming language for a project will depend on factors such as the project's goals, team expertise, and scalability requirements.
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Which programming language is suitable for game programming?
There are several programming languages that are suitable for game programming, but some of the most popular ones include C++, C#, and Java. C++ is often used for high-performance games and is the language of choice for many game engines. C# is commonly used with the Unity game engine and is known for its ease of use and flexibility. Java is also a popular choice for game development, especially for Android games. Ultimately, the best programming language for game development depends on the specific requirements of the game and the developer's familiarity with the language.
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Which programming language is best for programming games?
The best programming language for programming games depends on the specific requirements of the game and the preferences of the developer. Some popular languages for game development include C++, C#, and Java. C++ is commonly used for high-performance games that require complex graphics and physics, while C# is often used with game development engines like Unity. Java is also a popular choice for developing mobile games. Ultimately, the best programming language for game development will vary based on the specific needs and goals of the project.
Similar search terms for Programming:
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Java Programming
Discover the power of Java™ for developing applications today when you trust the engaging, hands-on approach in Farrell's JAVA PROGRAMMING, 9E.Even if you're a first-time programmer, JAVA PROGRAMMING can show you how to quickly start developing useful programs, all while still mastering the basic principles of structured and object-oriented programming.Unique, reader-friendly explanations and meaningful programming exercises emphasize business applications and game creation while useful debugging exercises and contemporary case problems further expand your understanding.Additional digital learning resources within MindTap provide interactive learning tools as well as coding IDE (Integrated Development Environment) labs for practicing and expanding your skills.
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Integer Programming
A PRACTICAL GUIDE TO OPTIMIZATION PROBLEMS WITH DISCRETE OR INTEGER VARIABLES, REVISED AND UPDATED The revised second edition of Integer Programming explains in clear and simple terms how to construct custom-made algorithms or use existing commercial software to obtain optimal or near-optimal solutions for a variety of real-world problems.The second edition also includes information on the remarkable progress in the development of mixed integer programming solvers in the 22 years since the first edition of the book appeared.The updated text includes information on the most recent developments in the field such as the much improved preprocessing/presolving and the many new ideas for primal heuristics included in the solvers.The result has been a speed-up of several orders of magnitude.The other major change reflected in the text is the widespread use of decomposition algorithms, in particular column generation (branch-(cut)-and-price) and Benders’ decomposition.The revised second edition: Contains new developments on column generationOffers a new chapter on Benders’ algorithmIncludes expanded information on preprocessing, heuristics, and branch-and-cutPresents several basic and extended formulations, for example for fixed costnetwork flowsAlso touches on and briefly introduces topics such as non-bipartite matching, the complexity of extended formulations or a good linear program for the implementation of lift-and-project Written for students of integer/mathematical programming in operations research, mathematics, engineering, or computer science, Integer Programming offers an updated edition of the basic text that reflects the most recent developments in the field.
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Programming Python
Once you've come to grips with the core Python language, learning how to build Python applications presents a far more interesting challenge.Tap this book's wealth of practical advice, snippets of code, and patterns of program design to take your Python skills to the next level.You'll start with in-depth discussions of core concepts and then progress toward complete programs in different application domains, including: * GUI programming * Internet scripting * Parallel processing * Database management * Networked applications * System administration * Text processing Most programming experts consider this classic book, now updated for Python 3.x, to be the industry standard for learning Python application programming.With clear and concise explanations of Python syntax and programming techniques, and numerous examples that illustrate both correct usage and common idioms, Programming Python shows you the right way to code with Python.
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Erlang Programming
A Concurrent Approach to Software Development
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Is programming Lego Mindstorms similar to programming PLCs?
Programming Lego Mindstorms and PLCs (Programmable Logic Controllers) share some similarities as they both involve writing code to control hardware devices. However, there are also significant differences between the two. Lego Mindstorms is typically used for educational purposes and is more user-friendly with a visual programming interface, while PLCs are used in industrial automation and require a more specialized knowledge of ladder logic programming. Additionally, PLCs are designed for real-time control of machinery and processes, whereas Lego Mindstorms is more focused on robotics and educational projects.
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Which programming language does Google use for programming?
Google primarily uses programming languages such as Java, Python, C++, and Go for their software development. Java is commonly used for building Android apps and backend services, while Python is used for scripting, automation, and web development. C++ is used for performance-critical components, and Go is used for cloud-based services and infrastructure. Overall, Google uses a variety of programming languages based on the specific requirements of their projects.
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What programming language is best for programming algorithms?
The best programming language for programming algorithms depends on the specific requirements and constraints of the problem at hand. However, languages like Python, C++, and Java are commonly used for algorithm development due to their strong support for data structures, efficient memory management, and high performance. Python is often preferred for its simplicity and readability, while C++ and Java are chosen for their speed and ability to handle complex computations. Ultimately, the best language for programming algorithms will depend on the specific needs of the project and the programmer's familiarity with the language.
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Which programming language is suitable for programming a launcher?
A programming language that is suitable for programming a launcher would be a language that allows for low-level system interactions and control over hardware. Languages like C or C++ are commonly used for developing launchers due to their ability to directly manipulate memory and interact with hardware components. Additionally, languages like Python or Java can also be used for developing launchers, as they provide higher-level abstractions and easier syntax for rapid development. Ultimately, the choice of programming language would depend on the specific requirements and constraints of the launcher project.
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