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

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

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1345 78 Logging 1361 78.1 Log event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1362 78.2 Processing and experiment with Julia is by starting an interactive session (also known as a read-eval-print loop or "REPL") by double-clicking the Julia executable or running julia from the command line: $ julia sin.(A) (or equivalently @. 2A^2 + sin(A), using the @. macro) for an array A, it performs a single loop over A, computing 2a^2 + sin(a) for each element a of A. In particular, nested dot calls like f.(g

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1345 78 Logging 1361 78.1 Log event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1362 78.2 Processing and experiment with Julia is by starting an interactive session (also known as a read-eval-print loop or "REPL") by double-clicking the Julia executable or running julia from the command line: $ julia sin.(A) (or equivalently @. 2A^2 + sin(A), using the @. macro) for an array A, it performs a single loop over A, computing 2a^2 + sin(a) for each element a of A. In particular, nested dot calls like f.(g

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1573 80 Logging 1593 80.1 Log event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1594 80.2 Processing and experiment with Julia is by starting an interactive session (also known as a read-eval-print loop or "REPL") by double-clicking the Julia executable or running julia from the command line: $ julia fused into a single broadcast loop. For example, sin.(cos.(X)) is equivalent to broadcast(x -> sin(cos(x)), X), similar to [sin(cos(x)) for x in X]: there is only a single loop over X, and a single array

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1573 80 Logging 1593 80.1 Log event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1594 80.2 Processing and experiment with Julia is by starting an interactive session (also known as a read-eval-print loop or "REPL") by double-clicking the Julia executable or running julia from the command line: $ julia fused into a single broadcast loop. For example, sin.(cos.(X)) is equivalent to broadcast(x -> sin(cos(x)), X), similar to [sin(cos(x)) for x in X]: there is only a single loop over X, and a single array

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1573 80 Logging 1593 80.1 Log event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1594 80.2 Processing and experiment with Julia is by starting an interactive session (also known as a read-eval-print loop or "REPL") by double-clicking the Julia executable or running julia from the command line: $ julia fused into a single broadcast loop. For example, sin.(cos.(X)) is equivalent to broadcast(x -> sin(cos(x)), X), similar to [sin(cos(x)) for x in X]: there is only a single loop over X, and a single array

Documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1654 82 Logging 1656 82.1 Log event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1657 82.2 Processing and experiment with Julia is by starting an interactive session (also known as a read-eval-print loop or "REPL") by double-clicking the Julia executable or running julia from the command line: $ julia sin.(A) (or equivalently @. 2A^2 + sin(A), using the @. macro) for an array A, it performs a single loop over A, computing 2a^2 + sin(a) for each element a of A. In particular, nested dot calls like f.(g

Documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1652 82 Logging 1654 82.1 Log event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1655 82.2 Processing and experiment with Julia is by starting an interactive session (also known as a read-eval-print loop or "REPL") by double-clicking the Julia executable or running julia from the command line: $ julia fused into a single broadcast loop. For example, sin.(cos.(X)) is equivalent to broadcast(x -> sin(cos(x)), X), similar to [sin(cos(x)) for x in X]: there is only a single loop over X, and a single array

Documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1651 82 Logging 1653 82.1 Log event structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1654 82.2 Processing and experiment with Julia is by starting an interactive session (also known as a read-eval-print loop or "REPL") by double-clicking the Julia executable or running julia from the command line: $ julia fused into a single broadcast loop. For example, sin.(cos.(X)) is equivalent to broadcast(x -> sin(cos(x)), X), similar to [sin(cos(x)) for x in X]: there is only a single loop over X, and a single array