kinds of coroutines it is important to use await or yield so that any exceptions have somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing conceptually similar, but a little more complicated because of the extra integration with the Python runtime. A function containing yield is a generator. All generators are asynchronous; when called they return yielded. This means it is important to call coroutines in the right way, or you may have errors that go unnoticed: async def divide(x, y): return x / y def bad_call(): # This should raise a ZeroDivisionError

kinds of coroutines it is important to use await or yield so that any exceptions have somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing conceptually similar, but a little more complicated because of the extra integration with the Python runtime. A function containing yield is a generator. All generators are asynchronous; when called they return yielded. This means it is important to call coroutines in the right way, or you may have errors that go unnoticed: async def divide(x, y): return x / y def bad_call(): # This should raise a ZeroDivisionError

kinds of coroutines it is important to use await or yield so that any exceptions have somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing conceptually similar, but a little more complicated because of the extra integration with the Python runtime. A function containing yield is a generator. All generators are asynchronous; when called they return yielded. This means it is important to call coroutines in the right way, or you may have errors that go unnoticed: async def divide(x, y): return x / y def bad_call(): # This should raise a ZeroDivisionError

kinds of coroutines it is important to use await or yield so that any exceptions have somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing conceptually similar, but a little more complicated because of the extra integration with the Python runtime. A function containing yield is a generator. All generators are asynchronous; when called they return yielded. This means it is important to call coroutines in the right way, or you may have errors that go unnoticed: async def divide(x, y): return x / y def bad_call(): # This should raise a ZeroDivisionError

kinds of coroutines it is important to use await or yield so that any exceptions have somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing conceptually similar, but a little more complicated because of the extra integration with the Python runtime. A function containing yield is a generator. All generators are asynchronous; when called they return yielded. This means it is important to call coroutines in the right way, or you may have errors that go unnoticed: async def divide(x, y): return x / y def bad_call(): # This should raise a ZeroDivisionError

kinds of coroutines it is important to use await or yield so that any exceptions have somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing conceptually similar, but a little more complicated because of the extra integration with the Python runtime. A function containing yield is a generator. All generators are asynchronous; when called they return yielded. This means it is important to call coroutines in the right way, or you may have errors that go unnoticed: async def divide(x, y): return x / y def bad_call(): # This should raise a ZeroDivisionError

kinds of coroutines it is important to use await or yield so that any exceptions have somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing conceptually similar, but a little more complicated because of the extra integration with the Python runtime. A function containing yield is a generator. All generators are asynchronous; when called they return yielded. This means it is important to call coroutines in the right way, or you may have errors that go unnoticed: async def divide(x, y): return x / y def bad_call(): # This should raise a ZeroDivisionError

kinds of coroutines it is important to use await or yield so that any exceptions have somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing conceptually similar, but a little more complicated because of the extra integration with the Python runtime. A function containing yield is a generator. All generators are asynchronous; when called they return yielded. This means it is important to call coroutines in the right way, or you may have errors that go unnoticed: async def divide(x, y): return x / y def bad_call(): # This should raise a ZeroDivisionError

kinds of coroutines it is important to use await or yield so that any exceptions have somewhere to go. • Decorated coroutines have additional integration with the concurrent.futures package, allowing conceptually similar, but a little more complicated because of the extra integration with the Python runtime. A function containing yield is a generator. All generators are asynchronous; when called they return yielded. This means it is important to call coroutines in the right way, or you may have errors that go unnoticed: async def divide(x, y): return x / y def bad_call(): # This should raise a ZeroDivisionError

kinds of coroutines it is important to use await or yield so that any exceptions have somewhere to go. Decorated coroutines: have additional integration with the concurrent.futures [https://docs.python conceptually similar, but a little more complicated because of the extra integration with the Python runtime. A function containing yield is a generator. All generators are asynchronous; when called they return yielded. This means it is important to call coroutines in the right way, or you may have errors that go unnoticed: async def divide(x, y): return x / y def bad_call(): # This should raise a ZeroDivisionError