What: Python 3.6 introduces a number of improvements that render CPython, the default implementation of the Python runtime, both faster and more economical with memory - without breaking backward compatibility. As core Python developer Brett Cannon has pointed out, async/await can be used to create all kinds of asynchronous behaviors asyncio is only one of the many ways async/await can be put to use. Note that the async/await keywords aren’t really a replacement for asyncio. Bearing new and refined methods, asyncio becomes a full-blown member of Python's standard library before it was included provisionally while its API was being nailed down. Other major changes in this vein elevate the status of asyncio, a Python library used to perform asynchronous I/O such as reading from network sockets. With this it's possible to use asynchronous syntax within functions like Python lambdas or simply as a convenient option to condense the syntax of a list declaration. This would append the output of the function aiter() to the list result as values are yielded from the asynchronous function. The async/ await syntax can now be used in the context of a comprehension:
Python's documentation provides this as an example:Īsyncdefticker(delay,to): """Yield numbers from 0 to *to* every *delay* seconds.""" for i in range(to): yieldi await asyncio.sleep(delay)Ĭomprehensions let you assemble data structures like lists or dictionaries using a concise syntax. Generators are functions that yield values iteratively, like a list that's computed on demand. When paired with async syntax, generators can be used to concisely create functions that yield values when external conditions are met.
Now Python 3.6 has extended async and await to work in two other major parts of Python: generators and comprehensions. Python 3.5 introduced asynchronous behavior to Python's syntax through the async and await keywords.
The nitty-gritty: Earlier versions of Python allowed developers to build functions that could run asynchronously, without blocking each other, but not in a particularly elegant manner. Why: Processing that normally involves long delays, such as reading from a network socket, can now be done without holding up the rest of the app - and via syntax built into the language. What: With Python 3.6, the async and await keywords in Python can now be used inside generators and comprehensions, instead of simply to decorate functions.
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