Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβperfect for learners of all ages.
Enroll to start learning
Youβve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take mock test.
Listen to a student-teacher conversation explaining the topic in a relatable way.
Signup and Enroll to the course for listening the Audio Lesson
Today we're going to dive into coroutines in Python. Can anyone tell me what a coroutine is?
Is it a special type of function?
Exactly! A coroutine is a function that can pause its execution. We achieve this using the `async` keyword. Who can remember what keyword we use to pause a coroutine?
That would be `await`!
Perfect! So, when we use `await`, the coroutine pauses until the awaited task is complete. This allows other tasks to run. Can anyone think of a scenario where this would be beneficial?
Maybe when fetching data from the internet? It takes time!
Yes, exactly! In I/O-bound tasks, such as HTTP requests, using `async` and `await` is essential. So remember, think of `async` as starting a coroutine and `await` as taking a break to let it finish. Let's summarize this session: Coroutines allow us to pause execution and yield control, making our program more efficient.
Signup and Enroll to the course for listening the Audio Lesson
Now that we understand coroutines, letβs see how to implement this in code. Who can read this code snippet?
Sure, it declares a coroutine with `async def greet()` and uses `await asyncio.sleep(1)`.
Great job! What happens when we run this code?
It prints 'Hello', waits for one second, and then prints 'World'?
Exactly! This shows how we can manage delays in a non-blocking way. Remember, if we don't use `await`, it won't execute right away and will just return a coroutine object. Letβs summarize this session again!
Signup and Enroll to the course for listening the Audio Lesson
Finally, letβs talk about some common mistakes developers make when using `async` and `await`. What do you think could go wrong?
Maybe forgetting to use `await`?
Exactly! If you forget `await`, you get a coroutine object returned instead of executing the code. This can lead to unexpected behavior. Always remember to await your coroutines. We often summarize this as: 'Always accessorize with `await`!'
Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.
The section details the async and await keywords introduced in Python 3.5, highlighting how they enable the creation of coroutines that can pause execution without blocking the event loop. The significance of using these keywords in managing concurrent tasks efficiently is emphasized.
In Python, the async and await keywords were introduced in version 3.5 to facilitate asynchronous programming by defining coroutines β special functions that can yield control back to the event loop while waiting for tasks to finish. This feature enables developers to build applications that handle multiple concurrent tasks without blocking the main execution thread, making it particularly useful for I/O-bound operations.
Understanding these keywords paves the way for leveraging Python's asyncio library, which is crucial for effective asynchronous programming.
Dive deep into the subject with an immersive audiobook experience.
Signup and Enroll to the course for listening the Audio Book
Python introduced the async and await keywords in version 3.5 to define coroutinesβfunctions that can pause and resume execution.
πΉ What is a Coroutine?
A coroutine is a special function that can yield control back to the event loop while waiting for some operation to finish.
import asyncio async def greet(): print("Hello") await asyncio.sleep(1) print("World") # Running the coroutine asyncio.run(greet())
In Python 3.5, two important keywords, 'async' and 'await', were introduced to manage asynchronous programming more effectively. A coroutine is defined using the 'async def' syntax. Unlike regular functions, coroutines can pause their execution to let other code run. For instance, when the 'greet()' coroutine is called, it prints 'Hello', then waits for one second without blocking the whole program. After the wait, it resumes and prints 'World'. This behavior is essential in asynchronous programming because it allows multiple operations to occur concurrently.
Think of a coroutine like a waiter at a restaurant. Instead of standing still waiting for a single customer to finish ordering, they take an order, move on to serve another table, and then return to complete the initial order. This multitasking makes the restaurant run more efficiently.
Signup and Enroll to the course for listening the Audio Book
πΉ Key Concepts
β async def: Declares a coroutine.
β await: Pauses execution until the awaited coroutine completes.
β Coroutines must be awaited; otherwise, they return a coroutine object (not executed yet).
When you define a coroutine in Python, you use 'async def'. This makes it clear to others reading the code that this function will behave asynchronously. The 'await' keyword is used when you want to call another coroutine and wait for it to complete before moving on. It's important to note that if you do not use 'await' with a coroutine call, you will not actually execute it; instead, you'll just create a coroutine object.
Imagine you're trying to bake a cake but need to have all your ingredients ready first. 'async def' is like the recipe book telling you how to bake a cake emphatically. When you reach a step that says, 'wait for the oven', using 'await' means you'll step back and allow the oven to heat up before proceeding to the next step. If you skip this and move on, you'll find yourself in trouble when the cake doesnβt bake properly.
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
async def: Used to declare a coroutine function.
await: Allows the program to pause and wait for the coroutine it is awaiting to complete. If a coroutine is not awaited, it will return a coroutine object rather than executing the function directly.
Understanding these keywords paves the way for leveraging Python's asyncio library, which is crucial for effective asynchronous programming.
See how the concepts apply in real-world scenarios to understand their practical implications.
Example of a coroutine using async def
and await
keyword.
Fetching data asynchronously from a server while allowing other tasks to run.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
When async meets await, watch your code run straight!
Imagine a waiter in a restaurant. Instead of standing still waiting for a dish to be ready, they take multiple orders and only check back when something is done β that's async and await!
Think of 'A' for Async and 'A' for Action β both keywords start with A and initiate an action.
Review key concepts with flashcards.
Review the Definitions for terms.
Term: Coroutine
Definition:
A special type of function that can pause execution and yield control to the event loop.
Term: async
Definition:
A keyword used to declare a coroutine function.
Term: await
Definition:
A keyword used to pause execution until the awaited task completes.