code Managing the Kernel Cell menu Restarting the kernels sys.stdout and sys.stderr Output is asynchronous Large outputs Markdown Cells Markdown basics Headings Embedded code LaTeX equations GitHub flavored from __future__ import print_function print('hi, stderr', file=sys.stderr) hi, stderr Output is asynchronous All output is displayed asynchronously as it is generated in the Kernel. If you execute the next Python 2 (PR #4349 [https://github.com/jupyter/notebook/pull/4349/]) Fix compatibility with asynchronous KernelManager.restart_kernel methods (PR #4412 [https://github.com/jupyter/notebook/pull/4412/])

code Managing the Kernel Cell menu Restarting the kernels sys.stdout and sys.stderr Output is asynchronous Large outputs Markdown Cells Markdown basics Headings Embedded code LaTeX equations GitHub flavored from __future__ import print_function print('hi, stderr', file=sys.stderr) hi, stderr Output is asynchronous All output is displayed asynchronously as it is generated in the Kernel. If you execute the next on Python 2 (PR #4349 [https://github.com/jupyter/notebook/pull/4349/]) Fix compatibility with asynchronous KernelManager.restart_kernel methods (PR #4412 [https://github.com/jupyter/notebook/pull/4412/])

contain at minimum a JavaScript module packaged as an AMD modules [https://en.wikipedia.org/wiki/Asynchronous_module_definition] that exports a function load_ipython_extension server extension: an importable front-end extension is a JavaScript file that defines an AMD module [https://en.wikipedia.org/wiki/Asynchronous_module_definition] which exposes at least a function called load_ipython_extension, which takes finish('I spent 10 seconds bundling {}!'.format(model['path'])) You should prefer the second, asynchronous approach when your bundle operation is long-running and would otherwise block the notebook server

contain at minimum a JavaScript module packaged as an AMD modules [https://en.wikipedia.org/wiki/Asynchronous_module_definition] that exports a function load_ipython_extension server extension: an importable front-end extension is a JavaScript file that defines an AMD module [https://en.wikipedia.org/wiki/Asynchronous_module_definition] which exposes at least a function called load_ipython_extension, which takes finish('I spent 10 seconds bundling {}!'.format(model['path'])) You should prefer the second, asynchronous approach when your bundle operation is long-running and would otherwise block the notebook server

contain at minimum a JavaScript module packaged as an AMD modules [https://en.wikipedia.org/wiki/Asynchronous_module_definition] that exports a function load_ipython_extension server extension: an importable front-end extension is a JavaScript file that defines an AMD module [https://en.wikipedia.org/wiki/Asynchronous_module_definition] which exposes at least a function called load_ipython_extension, which takes finish('I spent 10 seconds bundling {}!'.format(model['path'])) You should prefer the second, asynchronous approach when your bundle operation is long-running and would otherwise block the notebook server

code Managing the Kernel Cell menu Restarting the kernels sys.stdout and sys.stderr Output is asynchronous Large outputs Markdown Cells Markdown basics Headings Embedded code LaTeX equations GitHub flavored startup on Python 2 (4349 [https://github.com/jupyter/notebook/pull/4349]) Fix compatibility with asynchronous [KernelManager.restart_kernel]{.title-ref} methods (4412 [https://github.com/jupyter/notebook/pull/4412]) front-end extension is a JavaScript file that defines an AMD module [https://en.wikipedia.org/wiki/Asynchronous_module_definition] which exposes at least a function called load_ipython_extension, which takes

contain at minimum a JavaScript module packaged as an AMD modules [https://en.wikipedia.org/wiki/Asynchronous_module_definition] that exports a function load_ipython_extension server extension: an importable front-end extension is a JavaScript file that defines an AMD module [https://en.wikipedia.org/wiki/Asynchronous_module_definition] which exposes at least a function called load_ipython_extension, which takes finish('I spent 10 seconds bundling {}!'.format(model['path'])) You should prefer the second, asynchronous approach when your bundle operation is long-running and would otherwise block the notebook server

contain at minimum a JavaScript module packaged as an AMD modules [https://en.wikipedia.org/wiki/Asynchronous_module_definition] that exports a function load_ipython_extension server extension: an importable front-end extension is a JavaScript file that defines an AMD module [https://en.wikipedia.org/wiki/Asynchronous_module_definition] which exposes at least a function called load_ipython_extension, which takes finish('I spent 10 seconds bundling {}!'.format(model['path'])) You should prefer the second, asynchronous approach when your bundle operation is long-running and would otherwise block the notebook server

contain at minimum a JavaScript module packaged as an AMD modules [https://en.wikipedia.org/wiki/Asynchronous_module_definition] that exports a function load_ipython_extension server extension: an importable front-end extension is a JavaScript file that defines an AMD module [https://en.wikipedia.org/wiki/Asynchronous_module_definition] which exposes at least a function called load_ipython_extension, which takes finish('I spent 10 seconds bundling {}!'.format(model['path'])) You should prefer the second, asynchronous approach when your bundle operation is long-running and would otherwise block the notebook server

code Managing the Kernel Cell menu Restarting the kernels sys.stdout and sys.stderr Output is asynchronous Large outputs Markdown Cells Markdown basics Headings Embedded code LaTeX equations GitHub flavored from __future__ import print_function print('hi, stderr', file=sys.stderr) hi, stderr Output is asynchronous All output is displayed asynchronously as it is generated in the Kernel. If you execute the next contain at minimum a JavaScript module packaged as an AMD modules [https://en.wikipedia.org/wiki/Asynchronous_module_definition] that exports a function load_ipython_extension server extension: an importable