The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More
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Welcome to the ultimate destination for Programming and Coding Tutorials! 💻🎓 Dive into a world of coding with tutorials on Java, Python, C, C++, Rust, and more. Buy ads: https://telega.io/c/The_Coding_Space
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“Welcome to the ultimate destination for Programming and Coding Tutorials!
💻🎓 Dive into a world of coding with tutorials on Java, Python, C, C++, Rust, and more.
Buy ads: https://telega.io/c/The_Coding_Space”
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📂 Full description
Explore the application of functional programming principles in modern C++ using features introduced in C++17, C++20, and C++23. In this course, instructor Troy MIles shows you how to write more modular, expressive, and efficient code by leveraging features such as lambdas, ranges, coroutines, and concepts. Along the way, discover how functional pipelines, metaprogramming, and the constexpr specifier can transform your approach to problem-solving in C++. This course also covers functional reactive programming, pattern matching, and the integration of functional and imperative styles to help you master advanced C++ techniques.This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that youll likely encounter in the workplace. Check out “Using GitHub Codespaces" with this course to learn how to get started.
🔅 Functional Programming in C++
🌐 Author: Troy Miles
🔰 Level: Intermediate
⏰ Duration: 4h 25m
🌀 Learn how to apply functional programming principles in modern C++ using features like lambdas, ranges, coroutines, and concepts to write more expressive, efficient code.📗 Topics: Functional Programming, C++ 📤 Join The Coding Space for more courses
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💡 Top 6 Multithreading Design Patterns You Must Know
Multithreading enables a single program or process to execute multiple tasks concurrently. Each task is a thread. Think of threads as lightweight units of execution that share the resources of the process such as memory space.However, multithreading also introduces complexities like synchronization, communication, and potential race conditions. This is where patterns help. 1 - Producer-Consumer Pattern This pattern involves two types of threads: producers generating data and consumers processing that data. A blocking queue acts as a buffer between the two. 2 - Thread Pool Pattern In this pattern, there is a pool of worker threads that can be reused for executing tasks. Using a pool removes the overhead of creating and destroying threads. Great for executing a large number of short-lived tasks. 3 - Futures and Promises Pattern In this pattern, the promise is an object that holds the eventual results and the future provides a way to access the result. This is great for executing long-running operations concurrently without blocking the main thread. 4 - Monitor Object Pattern Ensures that only one thread can access or modify a shared resource within an object at a time. This helps prevent race conditions. The pattern is required when you need to protect shared data or resources from concurrent access. 5 - Barrier Pattern Synchronizes a group of threads. Each thread executes until it reaches a barrier point in the code and blocks until all threads have reached the same barrier. Ideal for parallel tasks that need to reach a specific stage before starting the next stage. 6 - Read-Write Lock Pattern It allows multiple threads to read from a shared resource but only allows one thread to write to it at a time. Ideal for managing shared resources where reads are more frequent than writes.
💡 Did you know?
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🔰 Qt Widgets for Beginners with C++
⭐️ 4.4 - 542 votes 💳 Original Price: $74.99
📋 An introduction to Qt Widgets and Desktop programming, designed for students who know the Qt Core library👤 Taught By: Bryan Cairns ➕ Download Full Course 📁 Download All Courses
