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Advanced Python Programming
Create distributed applications with clever design patterns to solve complex problemsKey FeaturesSet up and run distributed algorithms on a cluster using Dask and PySparkMaster skills to accurately implement concurrency in your codeGain practical experience of Python design patterns with real-world examplesBook DescriptionThis Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing.By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems.This Learning Path includes content from the following Packt products:Python High Performance - Second Edition by Gabriele LanaroMastering Concurrency in Python by Quan NguyenMastering Python Design Patterns by Sakis KasampalisWhat you will learnUse NumPy and pandas to import and manipulate datasetsAchieve native performance with Cython and NumbaWrite asynchronous code using asyncio and RxPyDesign highly scalable programs with application scaffoldingExplore abstract methods to maintain data consistencyClone objects using the prototype patternUse the adapter pattern to make incompatible interfaces compatibleEmploy the strategy pattern to dynamically choose an algorithmWho this book is forThis Learning Path is specially designed for Python developers who want to build high-performance applications and learn about single core and multi-core programming, distributed concurrency, and Python design patterns. Some experience with Python programming language will help you get the most out of this Learning Path.
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R 1,221.00
Functional and Concurrent Programming
Leverage Modern Language Constructs to Write High-Quality Code FasterThe functional and concurrent programming language features supported by modern languages can be challenging, even for experienced developers. These features may appear intimidating to OOP programmers because of a misunderstanding of how they work. Programmers first need to become familiar with the abstract concepts that underlie these powerful features.In Functional and Concurrent Programming, Michel Charpentier introduces a core set of programming language constructs that will help you be productive in a variety of programming languages—now and in the future. Charpentier illustrates key concepts with numerous small, focused code examples, written in Scala, and with case studies that provide a thorough grounding in functional and concurrent programming skills. These skills will carry from language to language—including the most recent incarnations of Java. Using these features will enable developers and programmers to write high-quality code that is easier to understand, debug, optimize, and evolve.Key topics covered include: Recursion and tail recursionPattern matching and algebraic datatypesPersistent structures and immutabilityHigher-order functions and lambda expressionsLazy evaluation and streamsThreads and thread poolsAtomicity and lockingSynchronization and thread-safe objectsLock-free, non-blocking patternsFutures, promises, and functional-concurrent programming As a bonus, the book includes a discussion of common typing strategies used in modern programming languages, including type inference, subtyping, polymorphism, type classes, type bounds, and type variance.Most of the code examples are in Scala, which includes many of the standard features of functional and concurrent programming; however, no prior knowledge of Scala is assumed. You should be familiar with concepts such as classes, methods, objects, types, variables, loops, and conditionals and have enough programming experience to not be distracted by simple matters of syntax.
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Rust All-in-One For Dummies
Your guide to the programming language that's revolutionizing software development Ready to learn Rust, the language that combines blazing performance with memory safety? Rust All-in-One For Dummies takes you from complete beginner to confident developer, covering the essentials of writing Rust code through applying it to real-world projects. Unlike programming books that throw you into the deep end, Rust All-in-One For Dummies builds your skills systematically. Each mini-book contained in this All-in-One reference focuses on a specific aspect of Rust development, complete with hands-on projects that apply what you've learned. You'll move seamlessly from understanding basic syntax to building real-world applications that showcase Rust's incredible versatility. Whether you're writing your first line of code or adding Rust to your programming toolkit, you'll discover how to harness its unique features to build everything from command-line tools to web applications. Get expert insight on: Rust fundamentals and real-world applications – Learn ownership, borrowing, and the borrow checker while building practical projects like number guessing games, file organizers, chat servers, and data analysis dashboards.Advanced development across multiple domains – Create command-line tools, WebAssembly browser applications, networked programs, desktop GUIs, and high-performance web servers using Rust's growing ecosystem.Professional development practices – Master testing, documentation, error handling, concurrency, and code organization techniques that make Rust applications production-ready and maintainable. Perfect for complete beginners starting their programming journey and experienced developers ready to explore why Rust consistently ranks as the most loved programming language. Join the community that's discovered Rust isn't just another language – it's the future of safe, fast, and reliable software development.
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