What methods exist for improving the efficiency of executing synchronous requests?

To improve the efficiency of executing synchronous requests in Python, the following approaches can be used:

• Parallelization using threads (threading) — allows running multiple requests simultaneously, especially if they are I/O-bound.
• Using multiprocessing — for CPU-bound tasks, to utilize multiple cores.
• Batch processing of requests — combining multiple requests into one, if supported by the server.
• Caching results — to avoid repeating requests for the same data.

An example using threading for parallel requests:

import threading
import requests

def fetch(url):
    response = requests.get(url)
    print(f"{url}: {response.status_code}")

urls = ["https://example.com", "https://python.org", "https://github.com"]
threads = []

for url in urls:
    thread = threading.Thread(target=fetch, args=(url,))
    threads.append(thread)
    thread.start()

for thread in threads:
    thread.join()

This will speed up execution compared to sequential calls.