Skip to main content

AsyncIO in Python

 


Learning Sections          show

AsyncIO in Python

AsyncIO is a library to write concurrent code using the async/await syntax. It allows you to manage asynchronous tasks and I/O operations in Python.


Basics of AsyncIO

AsyncIO provides an event loop, coroutines, and tasks:

  • Event loop: The core of every asyncio application. It runs asynchronous tasks and callbacks.
  • Coroutines: Special functions defined with async def. They use await to pause their execution and wait for other coroutines.
  • Tasks: Used to schedule coroutines to run concurrently in the event loop.

Creating a Simple Coroutine

import asyncio

# Define a coroutine
async def say_hello():
    print("Hello")
    await asyncio.sleep(1)
    print("World")

# Create an event loop and run the coroutine
asyncio.run(say_hello())

Running Multiple Coroutines

import asyncio

async def task1():
    await asyncio.sleep(1)
    print('Task 1 complete')

async def task2():
    await asyncio.sleep(2)
    print('Task 2 complete')

async def main():
    await asyncio.gather(task1(), task2())

asyncio.run(main())

Handling Timeouts

import asyncio

async def long_running_task():
    await asyncio.sleep(5)
    print("Task complete")

async def main():
    try:
        await asyncio.wait_for(long_running_task(), 3)
    except asyncio.TimeoutError:
        print("Task timed out")

asyncio.run(main())

Creating and Using Tasks

import asyncio

async def task1():
    await asyncio.sleep(1)
    print('Task 1 complete')

async def task2():
    await asyncio.sleep(2)
    print('Task 2 complete')

async def main():
    t1 = asyncio.create_task(task1())
    t2 = asyncio.create_task(task2())
    
    await t1
    await t2

asyncio.run(main())

Async Context Managers

import asyncio

class AsyncContextManager:
    async def __aenter__(self):
        print("Entering context")
        return self

    async def __aexit__(self, exc_type, exc, tb):
        print("Exiting context")

async def main():
    async with AsyncContextManager():
        print("Inside context")

asyncio.run(main())

Popular posts from this blog

Introduction to OOPs in Python

  Learning Sections          show Introduction to Object-Oriented Programming (OOP) Object-Oriented Programming (OOP) is a programming paradigm that organizes software design around objects rather than actions and data rather than logic. It revolves around the concept of "objects", which are instances of classes. These objects encapsulate data, in the form of attributes or properties, and behaviors, in the form of methods or functions. OOP promotes modularity, reusability, and extensibility in software development. Key Concepts of OOP: Class: A class is a blueprint or template for creating objects. It defines the attributes (data) and methods (functions) that will characterize any object instantiated from that class. Object: An object is an instance of a class. It is a concrete realization of the class blueprint, containing actual values instead of placeholders for attributes. Encapsulation: Encapsulation is ...

Inheritance in Python

  Learning Sections          show Inheritance in Python Inheritance is a fundamental concept in object-oriented programming (OOP) that allows a class to inherit attributes and methods from another class. The class that inherits is called the child class or subclass, and the class being inherited from is called the parent class or superclass. Basic Inheritance In Python, a child class inherits from a parent class by specifying the parent class in parentheses after the child class name. Example: class Animal : def __init__ ( self , name ): self . name = name def speak ( self ): raise NotImplementedError ( "Subclass must implement this method" ) class Dog ( Animal ): def speak ( self ): return "Woof!" class Cat ( Animal ): def speak ( self ): return "Meow!" # Create instances of Dog and Cat dog = Dog ( "Buddy" ) cat = Cat ( "Whiskers" ...

read(), readlines() and other methods in Python

Learning Sections          show read(), readlines() and Other Methods in Python Python provides several methods to read from and manipulate files. Here are some common methods: 1. read() The read() method reads the entire content of a file and returns it as a string. # Open the file in read mode with open ( 'example.txt' , 'r' ) as file : # Read the entire content of the file content = file . read () print ( content ) 2. readlines() The readlines() method reads all the lines of a file and returns a list where each element is a line in the file. # Open the file in read mode with open ( 'example.txt' , 'r' ) as file : # Read all lines of the file lines = file . readlines () for line in lines : print ( line . strip ()) # strip() removes the newline character 3. readline() The readline() method reads one line from the file and returns it as a...