Note that if you want to run a Jupyter python kernel in the new environment, you must also install the `ipykernel` package in the environment. # JupyterLab This extension add a new entry Conda Packages Manager in the Settings menu.!jupyterlabcondaextension(labextension/jupyterlabconda.gif) # Creating New Environments There are two ways to create an environment: - Create a new environment Use the New Environment button at the top of the page, and select `Python 2`, `Python 3`, or `R` to create a base environment with the corresponding packages. You can perform the same actions as in the Conda tab, but only against the current environment. Selecting this item displays the list of Conda packages in the environment associated with the running kernel, and the list of available packages. # Conda in the Notebook view This extension adds a Conda Packages item to the Kernel menu.
That will allow you to: - see the packages installed in the environment - install new packages from the available package list - check for updates on selected (or all) packages - update selected (or all) packages in the environment. You can click on the name of an environment to select it. Selecting the Conda tab will display: - A list of the Conda environments that current exist - The list of Conda packages available in currently configured channels (- The list of packages installed in the selected environment. # Install Requirements - conda = 4.5 - notebook = 4.3 - JupyterLab 0.35 (for the jupyterlab extension only) To install in the classical notebook: ```shell conda install -c conda-forge jupyterconda ``` To install in the JupyterLab: ```shell conda install -c conda-forge jupyterconda jupyter labextension install jupyterlabtoastify jupyterlabconda ``` # Classical Jupyter Notebook # Conda tab in the Jupyter file browser This extensions adds a Conda tab to the Jupyter file browser.
This is a fork of the Anaconda nbconda package(The decision to fork it came due to apparently dead status of the previous package and a need to integrate it within JupyterLab. # jupyterconda !Install with conda(!Build Status(!Build status(!Coverage Status(Provides Conda environment and package access extension from within Jupyter Notebook and JupyterLab.
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