Asynchronous Programming Development Tutorials, Guides & Insights

Handle large datasets efficiently, such as processing log files:

def read_large_file(file_path):
    with open(file_path, "r") as file:
        for line in file:
            yield line.strip()

# Process a large file
for line in read_large_file("large_file.txt"):
    print(line)

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  const person = { name: 'Alice', age: 25 };
  const name = Reflect.get(person, 'name');
  console.log(name); // Output: Alice

• Reflect.set: Sets the value of a property on an object.

const promise = new Promise((resolve, reject) => {
    setTimeout(() => {
        resolve("Data fetched");
    }, 2000);
});

console.log("Start");
promise.then((message) => {
    console.log(message);
});
console.log("End");

In this example, the promise is created with a function that takes two arguments: resolve and reject. The resolve function is called when the operation is successful, while reject is called if an error occurs. The then method is used to handle the resolved value.

Asynchronous programming allows for handling operations that might take time to complete, like I/O-bound tasks, without blocking the main execution thread. Rust’s async model is based on zero-cost abstractions that avoid runtime overhead, making it possible to write highly efficient asynchronous programs.

Rust uses the async and await keywords to define and work with asynchronous operations, enabling non-blocking code execution in a clear and manageable way.