Efficiently make multiple HTTP requests in 2 seconds with async & await.

👉 Running code synchronously causes delays when waiting for responses from external sources.

🔁 Using async and await allows for more efficient execution of code by not waiting for each response before moving on to the next request.

⏱️ By making 2500 HTTP requests asynchronously, the code execution time is significantly reduced.

🔑 Using threading with concurrent futures and thread pool executor can speed up processing of multiple URLs.

⏩ Async and await can significantly reduce the time taken for sending multiple HTTP requests.

🌐 Threading is more suitable for parallel processing, while async and await are ideal for network requests.

💡 Using async and await allows for faster network requests.

⚙️ To make multiple network requests, create a main function and an extra function to manage and wait for responses.

📊 Asyncio eliminates wait time in the code by sending out all requests and managing the responses.

🕒 The video demonstrates how to make 2500 HTTP requests in just 2 seconds using async and await.

💡 By using async and await, multiple requests can be sent simultaneously, reducing the time it takes to retrieve data from a server.

🌐 This approach is useful when repeatedly requesting data from the same server or when needing to visit multiple URLs from different sites.

📚 This video discusses how to make 2500 HTTP requests in 2 seconds using async & await.

🧩 The speaker provides examples and explains different ways to use async & await.