Switch Python versions

Open the notebook where you want to customize your environment.

Open the Attached data tool from the left-hand sidebar.

Click Notebook files to expand the list and open environment.yml.

Edit the environment.yml file as shown in the examples below:

Configure the notebook to use the custom virtual environment based on your environment file:

1. Open the Environment tool from the left-hand sidebar.

2. Click the Edit init.sh to install additional dependencies link.

3. Add a command to build the virtual environment.

   ENV_NAME=customPyEnv311 sudo apt-get update && sudo DEBCONF_NOWARNINGS=yes apt-get install -y python3.11 python3.11-venv /usr/bin/python3.11 -m venv /opt/python/envs/$ENV_NAME # The below packages are mandatory for the environment operation. /opt/python/envs/$ENV_NAME/bin/python -m pip install ipykernel==5.5.3 ipython==7.31.1 ipython_genutils==0.2.0 jedi==0.17.2 aiohttp==3.8.3 # Any other library can be installed in the same way /opt/python/envs/$ENV_NAME/bin/python -m pip install pandas>=1.5.3

Open the notebook where you want to customize your environment.

Open the Attached data tool from the left-hand sidebar.

Click Notebook files to expand the list and open environment.yml.

Edit the environment.yml file as shown in the examples below:

Create a new environment to specify the required Python version:

1. Under Notebook files, click the New file icon.

2. In the new file, add the content as shown in the example below.

   channels: - conda-forge - defaults dependencies: - python=3.9.10 - pyyaml - protobuf - python-logstash - wrapt - ipykernel - ipython_genutils - jupyter_client - jedi

Build a new virtual environment based on your custom environment file:

1. Open the Environment tool from the left-hand sidebar.

2. Click the Edit init.sh to install additional dependencies link.

3. Add a command to build the virtual environment.

   /opt/anaconda3/bin/conda env create --name py39 --file py39env.yml