Application([ (r"/", MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait() if __name__ == "__main__": asyncio.run(main()) This example does not use any of Tornado’s INTEGRATION Tornado is integrated with the standard library asyncio module and shares the same event loop (by default since Tornado 5.0). In general, libraries designed for use with asyncio can be mixed very expensive. To minimize the cost of concurrent connections, Tornado uses a single-threaded event loop. This means that all appli- cation code should aim to be asynchronous and non-blocking because

Application([ (r"/", MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait() if __name__ == "__main__": asyncio.run(main()) This example does not use any of Tornado’s INTEGRATION Tornado is integrated with the standard library asyncio module and shares the same event loop (by default since Tornado 5.0). In general, libraries designed for use with asyncio can be mixed very expensive. To minimize the cost of concurrent connections, Tornado uses a single-threaded event loop. This means that all appli- cation code should aim to be asynchronous and non-blocking because

Application([ (r"/", MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait() if __name__ == "__main__": asyncio.run(main()) This example does not use any of Tornado’s INTEGRATION Tornado is integrated with the standard library asyncio module and shares the same event loop (by default since Tornado 5.0). In general, libraries designed for use with asyncio can be mixed very expensive. To minimize the cost of concurrent connections, Tornado uses a single-threaded event loop. This means that all appli- cation code should aim to be asynchronous and non-blocking because

Application([ (r"/", MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait() if __name__ == "__main__": asyncio.run(main()) This example does not use any of Tornado’s INTEGRATION Tornado is integrated with the standard library asyncio module and shares the same event loop (by default since Tornado 5.0). In general, libraries designed for use with asyncio can be mixed very expensive. To minimize the cost of concurrent connections, Tornado uses a single-threaded event loop. This means that all appli- cation code should aim to be asynchronous and non-blocking because

Application([ (r"/", MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait() if __name__ == "__main__": asyncio.run(main()) This example does not use any of Tornado’s INTEGRATION Tornado is integrated with the standard library asyncio module and shares the same event loop (by default since Tornado 5.0). In general, libraries designed for use with asyncio can be mixed very expensive. To minimize the cost of concurrent connections, Tornado uses a single-threaded event loop. This means that all appli- cation code should aim to be asynchronous and non-blocking because

Application([ (r"/", MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait() if __name__ == "__main__": asyncio.run(main()) This example does not use any of Tornado’s INTEGRATION Tornado is integrated with the standard library asyncio module and shares the same event loop (by default since Tornado 5.0). In general, libraries designed for use with asyncio can be mixed very expensive. To minimize the cost of concurrent connections, Tornado uses a single-threaded event loop. This means that all appli- cation code should aim to be asynchronous and non-blocking because

asyncio [https://docs.python.org/3.6/library/asyncio.html#module-asyncio] module and shares the same event loop (by default since Tornado 5.0). In general, libraries designed for use with asyncio [https://docs http1connection – HTTP/1.x client/server implementation Asynchronous networking tornado.ioloop — Main event loop tornado.iostream — Convenient wrappers for non-blocking sockets tornado.netutil — Miscellaneous very expensive. To minimize the cost of concurrent connections, Tornado uses a single-threaded event loop. This means that all application code should aim to be asynchronous and non-blocking because only

MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait()if __name__ == "__main__": asyncio.run(main()) This example does not use any of Tornado’s asyncio [https://docs.python.org/3/library/asyncio.html#module-asyncio] module and shares the same event loop (by default since Tornado 5.0). In general, libraries designed for use with asyncio [https://docs http1connection – HTTP/1.x client/server implementation Asynchronous networking tornado.ioloop — Main event loop tornado.iostream — Convenient wrappers for non-blocking socketstornado.netutil — Miscellaneous

MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait() if __name__ == "__main__": asyncio.run(main()) This example does not use any of Tornado’s asyncio [https://docs.python.org/3/library/asyncio.html#module-asyncio] module and shares the same event loop (by default since Tornado 5.0). In general, libraries designed for use with asyncio [https://docs http1connection – HTTP/1.x client/server implementation Asynchronous networking tornado.ioloop — Main event loop tornado.iostream — Convenient wrappers for non-blocking sockets tornado.netutil — Miscellaneous

MainHandler), ]) async def main(): app = make_app() app.listen(8888) await asyncio.Event().wait() if __name__ == "__main__": asyncio.run(main()) This example does not use any of Tornado’s asyncio [https://docs.python.org/3/library/asyncio.html#module-asyncio] module and shares the same event loop (by default since Tornado 5.0). In general, libraries designed for use with asyncio [https://docs http1connection – HTTP/1.x client/server implementation Asynchronous networking tornado.ioloop — Main event loop tornado.iostream — Convenient wrappers for non-blocking sockets tornado.netutil — Miscellaneous