asyncio

👉 Demistifying Python's Async and Await keywords

The asyncio module offers an implementation of coroutines which allow tasks to control context switching to implement concurrency.

The await keyword is a checkpoint that indicates where it is safe for the process to go to another coroutine, allowing total control over context switching

import asyncio
import time

counter = 0

async def func1():
  global counter

  while True:
    counter += 1
    counter -= 1
    await asyncio.sleep(0)

async def func2():
  global counter

  while True:
    counter += 1
    counter -= 1
    await asyncio.sleep(0)

asyncio.gather(func1(), func2())
asyncio.get_event_loop().run_forever()

asyncio.create_task

async def get_users():
  users = await client.do_query('select * from users')
  return users

async def main():
  task = asyncio.create_task(get_users())
  # ...
  await task

asyncio.run(main())

asyncio.gather

Allows the joining of multiple threads.

async def get_users():
  users = await client.do_query('select * from users')
  return users

async def main():
  await asyncio.gather(
    get_users(),
    get_users(),
  )

asyncio.run(main())

asyncio.get_event_loop

asyncio.run

async def get_users():
  users = await client.do_query('select * from users')
  return users

asyncio.run(get_users())

async def main():
  users = await get_users()
  print(users)

asyncio.run(main())

asyncio.sleep