1.5. Basic workflow 5 Jupyter Notebook Documentation, Release 5.1.0 1.6 Plotting One major feature of the Jupyter notebook is the ability to display plots that are the output of running code cells matplotlib plotting library to provide this functionality. Specific plotting library integration is a feature of the kernel. 1.7 Installing kernels For information on how to install a Python kernel, refer Changed in version 4.2: Added --sys-prefix argument 11.4.5 Kernel Specific extensions Warning: This feature serves as a stopgap for kernel developers who need specific JavaScript injected onto the page. The

1.5. Basic workflow 5 Jupyter Notebook Documentation, Release 5.0.0 1.6 Plotting One major feature of the Jupyter notebook is the ability to display plots that are the output of running code cells matplotlib plotting library to provide this functionality. Specific plotting library integration is a feature of the kernel. 1.7 Installing kernels For information on how to install a Python kernel, refer Changed in version 4.2: Added --sys-prefix argument 11.4.5 Kernel Specific extensions Warning: This feature serves as a stopgap for kernel developers who need specific JavaScript injected onto the page. The

5. Basic workflow 5 Jupyter Notebook Documentation, Release 5.3.0.dev 1.6 Plotting One major feature of the Jupyter notebook is the ability to display plots that are the output of running code cells matplotlib plotting library to provide this functionality. Specific plotting library integration is a feature of the kernel. 1.7 Installing kernels For information on how to install a Python kernel, refer Changed in version 4.2: Added --sys-prefix argument 11.4.5 Kernel Specific extensions Warning: This feature serves as a stopgap for kernel developers who need specific JavaScript injected onto the page. The

available shortcuts, click Help, Keyboard Shortcuts in the notebook menus. Plotting One major feature of the Jupyter notebook is the ability to display plots that are the output of running code cells org] plotting library to provide this functionality. Specific plotting library integration is a feature of the kernel. Installing kernels For information on how to install a Python kernel, refer to the Changed in version 4.2: Added --sys-prefix argument Kernel Specific extensions Warning This feature serves as a stopgap for kernel developers who need specific JavaScript injected onto the page. The

available shortcuts, click Help, Keyboard Shortcuts in the notebook menus. Plotting One major feature of the Jupyter notebook is the ability to display plots that are the output of running code cells org] plotting library to provide this functionality. Specific plotting library integration is a feature of the kernel. Installing kernels For information on how to install a Python kernel, refer to the Changed in version 4.2: Added --sys-prefix argument Kernel Specific extensions Warning This feature serves as a stopgap for kernel developers who need specific JavaScript injected onto the page. The

available shortcuts, click Help, Keyboard Shortcuts in the notebook menus. Plotting One major feature of the Jupyter notebook is the ability to display plots that are the output of running code cells org] plotting library to provide this functionality. Specific plotting library integration is a feature of the kernel. Installing kernels For information on how to install a Python kernel, refer to the Changed in version 4.2: Added --sys-prefix argument Kernel Specific extensions Warning This feature serves as a stopgap for kernel developers who need specific JavaScript injected onto the page. The

1.5. Basic workflow 5 Jupyter Notebook Documentation, Release 5.4.1 1.6 Plotting One major feature of the Jupyter notebook is the ability to display plots that are the output of running code cells matplotlib plotting library to provide this functionality. Specific plotting library integration is a feature of the kernel. 1.7 Installing kernels For information on how to install a Python kernel, refer Changed in version 4.2: Added --sys-prefix argument 11.4.5 Kernel Specific extensions Warning: This feature serves as a stopgap for kernel developers who need specific JavaScript injected onto the page. The

available shortcuts, click Help, Keyboard Shortcuts in the notebook menus. 1.6 Plotting One major feature of the Jupyter notebook is the ability to display plots that are the output of running code cells matplotlib plotting library to provide this functionality. Specific plotting library integration is a feature of the kernel. 1.7 Installing kernels For information on how to install a Python kernel, refer (https://github.com/gibiansky/IHaskell) • Scala (https://github.com/Bridgewater/scala-notebook) • node.js (https://gist.github.com/Carreau/4279371) • Go (https://github.com/takluyver/igo) The default

1.5. Basic workflow 5 Jupyter Notebook Documentation, Release 5.4.0 1.6 Plotting One major feature of the Jupyter notebook is the ability to display plots that are the output of running code cells matplotlib plotting library to provide this functionality. Specific plotting library integration is a feature of the kernel. 1.7 Installing kernels For information on how to install a Python kernel, refer Changed in version 4.2: Added --sys-prefix argument 11.4.5 Kernel Specific extensions Warning: This feature serves as a stopgap for kernel developers who need specific JavaScript injected onto the page. The

1.5. Basic workflow 5 Jupyter Notebook Documentation, Release 5.3.1 1.6 Plotting One major feature of the Jupyter notebook is the ability to display plots that are the output of running code cells matplotlib plotting library to provide this functionality. Specific plotting library integration is a feature of the kernel. 1.7 Installing kernels For information on how to install a Python kernel, refer Changed in version 4.2: Added --sys-prefix argument 11.4.5 Kernel Specific extensions Warning: This feature serves as a stopgap for kernel developers who need specific JavaScript injected onto the page. The