IOLoop.run_in_executor instead. – support some shorthand for waiting on multiple objects by yielding a list or dict. Use tornado.gen.multi to do this in native coroutines. – can support integration with other IOLoop.spawn_callback, which makes the IOLoop responsible for the call. If it fails, the IOLoop will log a stack trace: # The IOLoop will catch the exception and print a stack trace in # the logs. Note that parallel_fetch_many(urls): responses = await multi ([http_client.fetch(url) for url in urls]) # responses is a list of HTTPResponses in the same order async def parallel_fetch_dict(urls): responses = await multi({url:

IOLoop.run_in_executor instead. – support some shorthand for waiting on multiple objects by yielding a list or dict. Use tornado.gen. multi to do this in native coroutines. – can support integration with other IOLoop.spawn_callback, which makes the IOLoop responsible for the call. If it fails, the IOLoop will log a stack trace: # The IOLoop will catch the exception and print a stack trace in # the logs. Note that parallel_fetch_many(urls): responses = await multi ([http_client.fetch(url) for url in urls]) # responses is a list of HTTPResponses in the same order async def parallel_fetch_dict(urls): responses = await multi({url:

IOLoop.run_in_executor instead. – support some shorthand for waiting on multiple objects by yielding a list or dict. Use tornado.gen.multi to do this in native coroutines. – can support integration with other IOLoop.spawn_callback, which makes the IOLoop responsible for the call. If it fails, the IOLoop will log a stack trace: # The IOLoop will catch the exception and print a stack trace in # the logs. Note that parallel_fetch_many(urls): responses = await multi ([http_client.fetch(url) for url in urls]) # responses is a list of HTTPResponses in the same order async def parallel_fetch_dict(urls): responses = await multi({url:

IOLoop.run_in_executor instead. – support some shorthand for waiting on multiple objects by yielding a list or dict. Use tornado.gen.multi to do this in native coroutines. – can support integration with other IOLoop.spawn_callback, which makes the IOLoop responsible for the call. If it fails, the IOLoop will log a stack trace: # The IOLoop will catch the exception and print a stack trace in # the logs. Note that parallel_fetch_many(urls): responses = await multi ([http_client.fetch(url) for url in urls]) # responses is a list of HTTPResponses in the same order async def parallel_fetch_dict(urls): responses = await multi({url:

IOLoop.run_in_executor instead. – support some shorthand for waiting on multiple objects by yielding a list or dict. Use tornado.gen.multi to do this in native coroutines. – can support integration with other IOLoop.spawn_callback, which makes the IOLoop responsible for the call. If it fails, the IOLoop will log a stack trace: # The IOLoop will catch the exception and print a stack trace in # the logs. Note that parallel_fetch_many(urls): responses = await multi ([http_client.fetch(url) for url in urls]) # responses is a list of HTTPResponses in the same order async def parallel_fetch_dict(urls): responses = await multi({url:

IOLoop.run_in_executor instead. – support some shorthand for waiting on multiple objects by yielding a list or dict. Use tornado.gen.multi to do this in native coroutines. – can support integration with other IOLoop.spawn_callback, which makes the IOLoop responsible for the call. If it fails, the IOLoop will log a stack trace: # The IOLoop will catch the exception and print a stack trace in # the logs. Note that parallel_fetch_many(urls): responses = await multi ([http_client.fetch(url) for url in urls]) # responses is a list of HTTPResponses in the same order async def parallel_fetch_dict(urls): responses = await multi({url:

instead. • Decorated coroutines support some shorthand for waiting on multiple objects by yielding a list or dict. Use tornado.gen.multi to do this in native coroutines. • Decorated coroutines can support IOLoop.spawn_callback, which makes the IOLoop responsible for the call. If it fails, the IOLoop will log a stack trace: # The IOLoop will catch the exception and print a stack trace in # the logs. Note that parallel_fetch_many(urls): responses = await multi ([http_client.fetch(url) for url in urls]) # responses is a list of HTTPResponses in the same order async def parallel_fetch_dict(urls): responses = await multi({url:

IOLoop.run_in_executor instead. – support some shorthand for waiting on multiple objects by yielding a list or dict. Use tornado.gen. multi to do this in native coroutines. – can support integration with other IOLoop.spawn_callback, which makes the IOLoop responsible for the call. If it fails, the IOLoop will log a stack trace: # The IOLoop will catch the exception and print a stack trace in # the logs. Note that parallel_fetch_many(urls): responses = await multi ([http_client.fetch(url) for url in urls]) # responses is a list of HTTPResponses in the same order async def parallel_fetch_dict(urls): responses = await multi({url:

IOLoop.run_in_executor instead. – support some shorthand for waiting on multiple objects by yielding a list or dict. Use tornado.gen.multi to do this in native coroutines. – can support integration with other IOLoop.spawn_callback, which makes the IOLoop responsible for the call. If it fails, the IOLoop will log a stack trace: # The IOLoop will catch the exception and print a stack trace in # the logs. Note that parallel_fetch_many(urls): responses = await multi ([http_client.fetch(url) for url in urls]) # responses is a list of HTTPResponses in the same order async def parallel_fetch_dict(urls): responses = await multi({url:

yield keyword. For example, in a yield-based coroutine you can yield a list of Futures, while in a native coroutine you must wrap the list in tornado.gen.multi. This also eliminates the integration with concurrent IOLoop.spawn_callback, which makes the IOLoop responsible for the call. If it fails, the IOLoop will log a stack trace: # The IOLoop will catch the exception and print a stack trace in # the logs. Note that parallel_fetch_many(urls): responses = yield [http_client.fetch(url) for url in urls] # responses is a list of HTTPResponses in the same order @gen.coroutine def parallel_fetch_dict(urls): responses = yield