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Using Virtual Environments in Jupyter Notebook and Python

02 Feb 2022

Are you working with Jupyter Notebook and Python? Exercise yous also want to do good from virtual environments? In this tutorial you volition meet how to exercise just that with Anaconda or Virtualenv/venv.

Earlier we first, what is a virtual environment and why exercise y'all need it? A virtual environment is an isolated working copy of Python. This means that each environment tin accept its own dependencies or even its own Python versions. This is useful if you lot need different versions of Python or packages for different projects. This also keeps things tidy when testing packages and making sure your main Python installation stays healthy.

Create Virtual Environment with Virtualenv/venv

A commonly used tool for virtual environments in Python is virtualenv. Since Python iii.3, a subset of virtualenv has been integrated in the Python standard library under the venv module. If you are using Python two, yous can install virtualenv with:

            pip install --user virtualenv                      

Now, yous can create a virtual surroundings with:

where myenv can exist replaced with the name yous desire for your virtual surround. The virtual environment tin exist establish in the myenv folder. For Python >= iii.3, y'all can create a virtual environment with:

After you have created your virtual environment, y'all can activate the virtual surround with:

            source myenv/bin/activate                      

To deactivate the virtual environment, you tin run conciliate. To delete the virtual environment you only need to remove the folder with the virtual environment (due east.1000. rm -r myenv). For further information, have a read in the virtualenv documentation or venv documentation.

Create Virtual Environment with Anaconda

Permit's accept a look how to create an virtual surround with Anaconda. Anaconda is a Python (and R) distribution that has the goal to simplify package direction and deployment for scientific computing. After the installation yous tin can create the conda virtual environment with:

where myenv is the proper name of your new environment. If y'all desire a specific Python version that is not your electric current version, you can blazon:

            conda create -n myenv python=three.half dozen                      

The environs is then stored in the envs folder in your Anaconda directory. After you have created the enviroment, you lot can activate information technology by typing:

If you now run python, you'll see that y'all are in your freshly created virtual environment. To deactivate the environment y'all can type conda deactivate and you tin can list all the available environments on your machine with conda env list. To remove an enviroment you tin can type:

            conda env remove -n myenv                      

After creating your surround, you tin can install the packages yous need besides the one already installed by conda. You tin can find more data on how to manage conda environments in this user guide.

Add together Virtual Surround to Jupyter Notebook

Jupyter Notebook makes certain that the IPython kernel is bachelor, only you take to manually add together a kernel with a different version of Python or a virtual surround. First, make sure your environment is activated with conda activate myenv. Next, install ipykernel which provides the IPython kernel for Jupyter:

            pip install --user ipykernel                      

Next you can add together your virtual environs to Jupyter by typing:

            python -m ipykernel install --user --proper name=myenv                      

This should impress the following:

            Installed kernelspec myenv in /dwelling house/user/.local/share/jupyter/kernels/myenv                      

In this folder you will find a kernel.json file which should look the following fashion if you lot did everything correctly:

            {  "argv": [   "/domicile/user/anaconda3/envs/myenv/bin/python",   "-m",   "ipykernel_launcher",   "-f",   "{connection_file}"  ],  "display_name": "myenv",  "language": "python" }                      

That'due south all to it! Now you are able to choose the conda environment every bit a kernel in Jupyter. Here is what that would look similar in JupyterLab:

Remove Virtual Environment from Jupyter Notebook

After you deleted your virtual surroundings, you'll want to remove it as well from Jupyter. Let'southward commencement encounter which kernels are available. You can list them with:

This should return something like:

            Available kernels:   myenv      /home/user/.local/share/jupyter/kernels/myenv   python3    /usr/local/share/jupyter/kernels/python3                      

Now, to uninstall the kernel, y'all tin type:

            jupyter kernelspec uninstall myenv                      

Source: https://janakiev.com/blog/jupyter-virtual-envs/

Posted by: sanchezcasim1959.blogspot.com

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