Miniconda + Virtual Envs

Creating virtual environment

To create a virtual enviroment with conda:

• conda create -n venv pip

This will create a virtual env called venv and install pip in that env. It is reccommended that you install packages while creating the virtual env. So if you want to install torch and matplotlib, this is how your command will look like.

• conda create -n venv pip torch matplotlib

To install particular versions of packages:

• conda create -n venv scipy=0.17.3 astroid babel

To activate the virtual environment:

• conda activate venv

To deactivate the virtual env:

• conda deactivate

The default python used for creating the virtual env is python 3.12 or whatever is the latest. To choose a specific python version:

• conda create -n venv399 python=3.9.9

You might want to specify the channel in which this version is available for installation. So:

• conda create -n venv399 python=3.9.9 -c conda-forge

To make an exact copy of a virutal env

• conda create --name venv-clone --clone venv

To list envs:

• conda info --envs

To see the packages installed in an active env:

• conda list

To connect jupyter notebook to conda env:

• Go into the virtual env: conda activate venv
• conda install ipykernel
• ipython kernel install --user --name=<any_name_for_kernel>
• jupyter notebook

Install miniconda

From here

mkdir -p ~/miniconda3
curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh -o ~/miniconda3/miniconda.sh
bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3
rm -rf ~/miniconda3/miniconda.sh

Then run the following commands:

~/miniconda3/bin/conda init bash
~/miniconda3/bin/conda init zsh