Python Dependency Manager Companion

## Basic usage Using JupyterLab with Pixi is very simple. You can just create a new Pixi workspace and add the `jupyterlab` package to it. The full example is provided under the following [Github link](https://github.com/prefix-dev/pixi/tree/main/examples/jupyterlab). ```bash pixi init pixi add jupyterlab ``` This will create a new Pixi workspace and add the `jupyterlab` package to it. You can then start JupyterLab using the following command: ```bash pixi run jupyter lab ``` If you want to add more "kernels" to JupyterLab, you can simply add them to your current workspace – as well as any dependencies from the scientific stack you might need. ```bash pixi add bash_kernel ipywidgets matplotlib numpy pandas # ... ``` ### What kernels are available? You can easily install more "kernels" for JupyterLab. The `conda-forge` repository has a number of interesting additional kernels - not just Python! - [**`bash_kernel`**](https://prefix.dev/channels/conda-forge/packages/bash_kernel) A kernel for bash - [**`xeus-cpp`**](https://prefix.dev/channels/conda-forge/packages/xeus-cpp) A C++ kernel based on the new clang-repl - [**`xeus-cling`**](https://prefix.dev/channels/conda-forge/packages/xeus-cling) A C++ kernel based on the slightly older Cling - [**`xeus-lua`**](https://prefix.dev/channels/conda-forge/packages/xeus-lua) A Lua kernel - [**`xeus-sql`**](https://prefix.dev/channels/conda-forge/packages/xeus-sql) A kernel for SQL - [**`r-irkernel`**](https://prefix.dev/channels/conda-forge/packages/r-irkernel) An R kernel ## Advanced usage <!-- Modifications to the following section are related to the README.md in https://github.com/renan-r-santos/pixi-kernel and https://github.com/renan-r-santos/pixi-kernel-binder, please keep these two in sync by making a PR in both --> If you want to have only one instance of JupyterLab running but still want per-directory Pixi environments, you can use one of the kernels provided by the [**`pixi-kernel`**](https://prefix.dev/channels/conda-forge/packages/pixi-kernel) package. ### Configuring JupyterLab To get started, create a Pixi workspace, add `jupyterlab` and `pixi-kernel` and then start JupyterLab: ```bash pixi init pixi add jupyterlab pixi-kernel pixi run jupyter lab ``` This will start JupyterLab and open it in your browser.   `pixi-kernel` searches for a manifest file, either `pixi.toml` or `pyproject.toml`, in the same directory of your notebook or in any parent directory. When it finds one, it will use the environment specified in the manifest file to start the kernel and run your notebooks.