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Commit e6999fc

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Extend Readme on how-to run tutorial locally (empa-scientific-it#65)
Co-authored-by: Aliaksandr Yakutovich <yakutovicha@gmail.com>
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‎README.md

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## Run the tutorial on your computer
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To run the tutorial locally, setup the environment with [conda](https://docs.conda.io/en/latest/miniconda.html) (or [mamba](https://mamba.readthedocs.io/en/latest/installation.html)):
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### 0. Prerequisites
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To run the tutorial locally, you should first install [conda](https://docs.conda.io/en/latest/miniconda.html) (or [mamba](https://mamba.readthedocs.io/en/latest/installation.html)).
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It is also suggested that you have a recent version of `git`. Check out [how to install `git`](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) on your operating system.
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### 1. Download the material
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Go to the directory on your machine where you want to download the material and clone the repository:
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```console
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git clone https://github.com/empa-scientific-it/python-tutorial
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```
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Alternatively, you can manually download a ZIP archive with the latest version of the material:
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[Download ZIP archive](https://github.com/empa-scientific-it/python-tutorial/archive/refs/heads/main.zip)
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Extract the archive in a directory of your choice.
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### 2. Create a dedicated environment
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Enter the tutorial folder with
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```console
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conda env create -f environment.yml
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cd /path/to/python-tutorial
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```
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You should now create a new environment with `conda`:
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```console
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conda env create -f binder/environment.yml
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```
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> **Warning**
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>
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> If you are on Windows and using Command Prompt or the PowerShell, please make sure to adjust the paths in the commands above accordingly.
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Then activate the environment with
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```console
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conda activate python-tutorial
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```
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Finally, launch JupyterLab with
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You can update the existing environment (that is, downloading the latest version of the packages) with
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```console
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jupyter lab
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conda env update -f binder/environment.yml
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```
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To update the existing environment, run
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### 3. Launch the tutorial via Jupyter
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Finally, launch JupyterLab with
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```console
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conda env update -f environment.yml
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jupyter lab
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```

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