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| --- | ||||
| title: "Jupyter with Pyenv" | ||||
| date: 2020-07-21T02:44:06-04:00 | ||||
| draft: false | ||||
| tags: ["python"] | ||||
| --- | ||||
| 
 | ||||
| I enjoy both managing my Python versions with [pyenv](https://brandonrozek.com/blog/pyenv/) and the literate programming environment [Jupyter lab](https://jupyter.org/). Luckily we can easily manage Python virtual environments via iPython kernels. | ||||
| 
 | ||||
| We're going to start off with our base Python interpretor | ||||
| ```bash | ||||
| pyenv install 3.8.4 | ||||
| pyenv shell 3.8.4 | ||||
| ``` | ||||
| 
 | ||||
| Then we're going to install the `ipykernel` package. | ||||
| ```bash | ||||
| pip install --upgrade pip | ||||
| pip install ipykernel | ||||
| ``` | ||||
| 
 | ||||
| Next we're going to create a virtual environment where JupyterLab will live. | ||||
| ```bash | ||||
| pyenv virtualenv jupyter | ||||
| pyenv activate jupyter | ||||
| pip install jupyterlab | ||||
| ``` | ||||
| 
 | ||||
| With that, we can now create arbitrary environments and add them as a kernel. | ||||
| ```bash | ||||
| pyenv deactivate | ||||
| pyenv virtualenv tensorflow | ||||
| pyenv activate tensorflow | ||||
| pip install tensorflow | ||||
| ipython kernel install --user --name tensorflow | ||||
| ``` | ||||
| 
 | ||||
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