somewhere to go. • Decorated coroutines have additional integration with the concurrent.futures package, allowing the re- sult of executor.submit to be yielded directly. For native coroutines, use IOLoop IOLoop). This distinction is not present in asyncio, so in order to facilitate integration with that package instance() was changed to be an alias to current(). Applications using the cross-thread communications ThreadedResolver Multithreaded non-blocking Resolver implementation. Requires the concurrent.futures package to be installed (available in the standard library since Python 3.2, installable with pip install

futures [https://docs.python.org/3.6/library/concurrent.futures.html#module-concurrent.futures] package, allowing the result of executor.submit to be yielded directly. For native coroutines, use IOLoop org/3.6/library/asyncio.html#module- asyncio], so in order to facilitate integration with that package instance() was changed to be an alias to current(). Applications using the cross-thread communications futures [https://docs.python.org/3.6/library/concurrent.futures.html#module-concurrent.futures] package to be installed (available in the standard library since Python 3.2, installable with pip install

somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing the result of executor.submit to be yielded directly. For native coroutines, use IOLoop IOLoop). This distinction is not present in asyncio, so in order to facilitate integration with that package instance() was changed to be an alias to current(). Applications using the cross-thread communications ThreadedResolver Multithreaded non-blocking Resolver implementation. Requires the concurrent.futures package to be installed (available in the standard library since Python 3.2, installable with pip install

somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing the result of executor. submit to be yielded directly. For native coroutines, use IOLoop IOLoop). This distinction is not present in asyncio, so in order to facilitate integration with that package instance() was changed to be an alias to current(). Applications using the cross-thread communications **kwargs: Any) Multithreaded non-blocking Resolver implementation. Requires the concurrent.futures package to be installed (available in the standard library since Python 3.2, installable with pip install

somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing the result of executor. submit to be yielded directly. For native coroutines, use IOLoop IOLoop). This distinction is not present in asyncio, so in order to facilitate integration with that package instance() was changed to be an alias to current(). Applications using the cross-thread communications **kwargs: Any) Multithreaded non-blocking Resolver implementation. Requires the concurrent.futures package to be installed (available in the standard library since Python 3.2, installable with pip install

somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing the result of executor. submit to be yielded directly. For native coroutines, use IOLoop IOLoop). This distinction is not present in asyncio, so in order to facilitate integration with that package instance() was changed to be an alias to current(). Applications using the cross-thread communications **kwargs: Any) Multithreaded non-blocking Resolver implementation. Requires the concurrent.futures package to be installed (available in the standard library since Python 3.2, installable with pip install

somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing the result of executor. submit to be yielded directly. For native coroutines, use IOLoop IOLoop). This distinction is not present in asyncio, so in order to facilitate integration with that package instance() was changed to be an alias to current(). Applications using the cross-thread communications **kwargs: Any) Multithreaded non-blocking Resolver implementation. Requires the concurrent.futures package to be installed (available in the standard library since Python 3.2, installable with pip install

somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing the result of executor. submit to be yielded directly. For native coroutines, use IOLoop IOLoop). This distinction is not present in asyncio, so in order to facilitate integration with that package instance() was changed to be an alias to current(). Applications using the cross-thread communications **kwargs: Any) Multithreaded non-blocking Resolver implementation. Requires the concurrent.futures package to be installed (available in the standard library since Python 3.2, installable with pip install

somewhere to go. • Decorated coroutines: – have additional integration with the concurrent.futures package, allowing the result of executor.submit to be yielded directly. For native coroutines, use IOLoop IOLoop). This distinction is not present in asyncio, so in order to facilitate integration with that package instance() was changed to be an alias to current(). Applications using the cross-thread communications ThreadedResolver Multithreaded non-blocking Resolver implementation. Requires the concurrent.futures package to be installed (available in the standard library since Python 3.2, installable with pip install

Tornado and enables the use of ThreadedResolver. It is needed only on Python 2; Python 3 includes this package in the standard library. pycurl [http://pycurl.sourceforge.net] is used by the optional tornado.curl_httpclient futures [https://docs.python.org/3.5/library/concurrent.futures.html#module-concurrent.futures] package to be installed (available in the standard library since Python 3.2, installable with pip install (standard in Python 3.4, available via the singledispatch [https://pypi.python.org/pypi/singledispatch] package on older versions), additional types of objects may be yielded. Tornado includes support for asyncio