Concurrency
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Python
The Python GIL Controversy: Why Multi-Core Parallelism Remains Broken (And Why It Might Not Matter)
In an era where even smartphones pack multiple CPU cores, Python remains stubbornly single-threaded. The culprit? A design decision made…
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Node.js
Implement Multi-Threading in Node.js With Worker Threads
Node.js is known for its single-threaded architecture powered by the event loop. While this design is excellent for I/O-driven applications,…
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Core Java
Project Loom’s Virtual Threads: Rethinking Concurrency in Java
For decades, Java developers have faced an uncomfortable trade-off: write simple, blocking code that’s easy to maintain but difficult to…
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Core Java
The Async Divide: Java’s Virtual Threads vs JavaScript’s Event Loop
Picture two completely different philosophies for handling thousands of simultaneous tasks. On one side, Java’s Project Loom introduces virtual threads,…
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Node.js
Understanding How the Node.js Event Loop Works
Node.js is known for its ability to handle highly concurrent workloads using a single-threaded event-driven model. This design allows Node.js…
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Core Java
Java Thread-per-Connection vs Thread-per-Request
This article explores how Java uses threads to manage client connections and process incoming requests. We will compare the thread-per-connection…
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Core Java
Why Java Developers Are Switching to Go (And Why They’re Wrong)
Java has been the backbone of enterprise software for decades, but in recent years, Go (Golang)—created by Google—has gained traction, especially…
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Software Development
Scalable Concurrency with Async/Await in Rust
Rust’s async/await syntax offers developers a powerful way to build concurrent systems without the traditional overhead of multithreading. Unlike synchronous…
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Core Java
Using Executors.newVirtualThreadPerTaskExecutor() in Java
Java introduced virtual threads with Project Loom to simplify concurrency and improve the scalability of applications. Virtual threads are lightweight…
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