Anaconda Environment & Jupyter Cheat Sheet

1. Create a new environment:

conda create --name <env_name> <package_name>

• Example: conda create --name myenv python=3.9 numpy

2. Activate an environment:

conda activate <env_name>

• Example: conda activate myenv

3. Deactivate the current environment:

conda deactivate

4. List all environments:

conda env list

or

conda info --envs

5. Clone an existing environment:

conda create --name <new_env_name> --clone <existing_env_name>

• Example: conda create --name cloned_env --clone base

6. Remove an environment:

conda remove --name <env_name> --all

• Example: conda remove --name myenv --all

7. Install packages into an environment:

conda install --name <env_name> <package_name>

• Example: conda install --name myenv pandas

8. Remove a package from an environment:

conda remove --name <env_name> <package_name>

• Example: conda remove --name myenv numpy

9. Update all packages in an environment:

conda update --name <env_name> --all

10. Export an environment to a .yml file (for sharing):

conda env export --name <env_name> > environment.yml

11. Create an environment from an .yml file:

conda env create -f environment.yml

12. Check details about a specific environment:

conda list --name <env_name>

• Example: conda list --name myenv

13. Update Conda itself:

conda update conda

14. Search for available packages:

conda search <package_name>

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Jupyter Notebook Commands:

1. Install Jupyter Notebook and Jupyter lab in an environment:

conda install ipykernel notebook

2. Launch Jupyter Notebook:

jupyter notebook

3. Launch JupyterLab:

jupyter lab

4. Create a Jupyter kernel for a Conda environment:

This allows you to use the environment in Jupyter:

python -m ipykernel install --user --name=<env_name>

• Example: python -m ipykernel install --user --name=myenv

Than you can select the kernel in Jupyter Notebook or Jupyter Lab.

5. List available Jupyter kernels:

jupyter kernelspec list

6. Remove a Jupyter kernel:

jupyter kernelspec uninstall <kernel_name>

7. Stop the Jupyter Notebook/Lab server:

To stop a running instance of Jupyter, press CTRL + C in the terminal where it’s running.

8. Convert a Jupyter notebook to a different format (e.g., HTML, PDF):

jupyter nbconvert --to <format> <notebook.ipynb>

• Example: jupyter nbconvert --to html my_notebook.ipynb

9. Run a Jupyter notebook from the command line:

jupyter nbconvert --execute <notebook.ipynb>

10. List running Jupyter notebook servers:

jupyter notebook list

11. Shut down a running Jupyter notebook server:

jupyter notebook stop <port_number>

• Example: jupyter notebook stop 8888

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Shortcuts:

• List packages in the current environment:

  conda list
  

• Install a package in the active environment:

  conda install <package_name>
  

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