

- #Jupyter notebook shortcuts install
- #Jupyter notebook shortcuts full
- #Jupyter notebook shortcuts code
#Jupyter notebook shortcuts install
Pip install -pre jupyter-lsp jupyter labextension install conda install -c conda-forge python-language-serverįinally you need to rebuild the jupyter lab app jupyter lab build Themes
#Jupyter notebook shortcuts full
Check out their full list of supported language servers
#Jupyter notebook shortcuts code
Jupyter labextension install krassowski/jupyterlab-lsp adds support for code navigation + hover suggestions + linters + autocompletion. krassowski/jupyterlab-go-to-definition which allow me to use Alt + click to jump to a definition using your mouse, or Ctrl + Alt + B keyboard-only alternative.There are two extensions that I only use at the moment Pip install jupyterthemes # dark jt -t onedork -fs 95 -altp -tfs 11 -nfs 115 -cellw 88% -T # light jt -t grade3 -fs 95 -altp -tfs 11 -nfs 115 -cellw 88% -T # Restore default theme jt -r I tried it and then I stopped using it because I switch environments all the time so it was best for me to get used to the stock theme. dunovank/jupyter-themes has one of the best themes I came across.Jupyter nbextension enable varInspector/main Themes It displays the values of all defined variables in a floating window varInspector is great for debugging python and R kernels.Jupyter nbextension enable toggle_all_line_numbers/main toggle_all_line_numbers as its names suggests it adds a toolbar button to toggle between showing line numbers or not.Jupyter nbextension enable spellchecker/main spellchecker highlights incorrectly spelled words in Markdown cells which saved me from a few embarrassing typos.Pip install autopep8 jupyter nbextension enable code_prettify/autopep8 code_prettify backed by autopep8 is great for reformatting code in notebook code cells base on PEP 8 style guide.pip install jupyter_contrib_nbextensions jupyter contrib nbextension install -user You should be using Jupyter lab though instead.įirst you need to instead jupyter_contrib_nbextensions and then you can install various useful extensions. There are many great extensions in jupyter_contrib_nbextensions. Finally you can list all available magics by running %lsmagic, this will show both line and cell magics currently defined.%load_ext tensorboard %tensorboard -logdir logs/model_training_logs In other words when you change something in a certain module the current notebook uses, changes will take place when you run new code cells without having to worry about anything. autoreload IPython extension is exceptionally helpful when you do not want to worry about reloading modules before executing new code.run and render code cells in that specified language or format. %%bash to change the current code cell to run to bash mode, basically writing bash commands in there.Use ! prefix to run a single bash command line.

# Run the code multiple times and find mean runtime %timeit CODE_LINE %%timeit CODE_CELL # Run once and report %time CODE_LINE %%time CODE_CELL
