Matplotlib 3.3.3 p圓8haa244fe_0 conda-forge Markdown-it-py 0.6.1 pyhd8ed1ab_0 conda-forge Mapclassify 2.4.2 pyhd8ed1ab_0 conda-forge M2w64-libwinpthread-git 5.697f757 2 conda-forge M2w64-gcc-libgfortran 5.3.0 6 conda-forge Libwebp-base 1.1.0 h8ffe710_3 conda-forge Libspatialindex 1.9.3 he025d50_3 conda-forge Jupyterlab_widgets 1.0.0 pyhd8ed1ab_1 conda-forge Jupyterlab_server 2.0.0 pyhd8ed1ab_0 conda-forge Jupyterlab_pygments 0.1.2 pyh9f0ad1d_0 conda-forge Jupyterlab_code_formatter 1.4.1 pyhd8ed1ab_0 conda-forge Jupyterlab 3.0.1 pyhd8ed1ab_0 conda-forge Jupyter_server 1.2.0 p圓8haa244fe_0 conda-forge Jupyter_core 4.7.0 p圓8haa244fe_0 conda-forge Jsonpath-ng 1.5.2 pyh9f0ad1d_0 conda-forge Ipywidgets 7.6.3 pyhd3deb0d_0 conda-forge Ipyleaflet 0.13.6 pyhd8ed1ab_0 conda-forge Importlib_metadata 3.3.0 hd8ed1ab_2 conda-forge Importlib-metadata 3.3.0 p圓8haa244fe_2 conda-forge Gitpython 3.1.12 pyhd8ed1ab_0 conda-forge Please attach the output of the following commands (please format them properly) Import jupyterlab_code_formatter succeeds and jupyterlab_code_formatter._version_ gives "1.4.1". I get the following message using Jupyterlab 3 Unable to find server plugin version, this should be impossible, open a GitHub issue if you cannot figure this issue out yourself.
For example, to install the language pack for Simplified Chinese you can use the command: pip install jupyterlab-language-pack-zh-CN
Language packs can be found grouped in the language packs repository on GitHub, and can be installed with pip. You will have to install the language pack as a separate Python package. It enables you to see and easily navigate the structure of a document.ģ.0 also features the ability to set the display language of the user interface.
Starting with the release of version 3.0, the table of contents extension now ships with JupyterLab. For example, you can make use of xeus-python, the first Jupyter Kernel for Python with support for debugging. To use it users will need a kernel that supports debugging. The visual debugger is now shipped by default with JupyterLab.
The key changes include: the visual debugger by default, the table of contents extension, support for multiple display languages, and more. Recently, the Jupyter team announced the release of JupyterLab 3.0, which features many new features to users and substantial improvements to the extension system.