add Python environments tutorial covering UV, Pixi, and Micromamba

$ pip install transformers

```

## Option 5: Micromamba (global conda environments)

[Micromamba](https://mamba.readthedocs.io/en/latest/user_guide/micromamba.html) is a lightweight conda implementation. Use it when you need traditional conda environments shared across projects.

### Install Micromamba

```shell-session

$ "${SHELL}" <(curl -L micro.mamba.pm/install.sh)

```

Follow the prompts. When asked for install location, use your project storage:

```

/tudelft.net/staff-umbrella/<project>/micromamba

```

### Create and use environments

```shell-session

$ micromamba create -n myenv python=3.11 pytorch numpy -c conda-forge -c pytorch

$ micromamba activate myenv

$ python -c "import torch; print(torch.__version__)"

```

### Use in batch scripts

```bash

#!/bin/bash

#SBATCH --account=<your-account>

#SBATCH --partition=all

#SBATCH --gres=gpu:1

module purge

module load 2025/gpu cuda/12.9

eval "$(micromamba shell hook --shell bash)"

micromamba activate myenv

srun python train.py

```

{{% alert title="When to use which tool" color="info" %}}

- **UV**: Best for most projects. Fast, lockfiles, reproducible.

- **Pixi**: When you need conda-forge packages in a project.

- **Micromamba**: When you need shared environments across projects.

{{% /alert %}}

## Next steps

- See [Modules](/docs/software/modules/) for available packages