The power of concurrent http requests in python

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## the power of concurrent http requests in python

when working with web apis or scraping data from multiple web pages, making multiple http requests sequentially can lead to significant delays, especially if the requests are time-consuming. concurrent http requests allow you to perform multiple requests at the same time, reducing the total execution time. this is particularly useful for tasks like data collection, web scraping, and api interaction.

### overview

in python, there are several libraries that can help you perform concurrent http requests, including:

1. **`asyncio`** with **`aiohttp`** - for asynchronous programming.
3. **`requests`** with **`requests_futures`** - for a simpler approach to concurrent requests.

### using `asyncio` and `aiohttp`

`asyncio` is a built-in python library for writing concurrent code using the `async`/`await` syntax, while `aiohttp` is an asynchronous http client for making requests.

#### installation

first, you need to install the `aiohttp` library:

#### code example

here’s an example of how to use `asyncio` and `aiohttp` to make concurrent http requests:

### explanation

1. **`async def fetch(session, url)`**: this function makes an asynchronous http get request to the provided url and returns the response text.


4. **performance measurement**: the execution time is measured to demonstrate the efficiency of concurrent requests.

#### code exam ...

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