"Run the following to clone the repository (i.e. create a local copy) to the Colab environment and to change into the directory (`cd`) of the code. Necessary python extensions are installed with `pip`:"
"Run the following to clone the repository (i.e. create a local copy) to the Colab environment and to change into the directory (`cd`) of the code. The specific version for the course is selected and the necessary python extensions are installed with `pip`:"
In order to run the Carbon Cycle Assessment (CCA), you need to get the model code first. This code is available TU's git server. [git is a version control system](https://git-scm.com/book/de/v2) and helps to keep track of everything that resembles code. Is is integrated in many development environments such as [Visual Studio Code](https://code.visualstudio.com/docs/sourcecontrol/overview) and can be [run from the command line](https://git-scm.com/book/de/v2)). It also helps to collaborate.
%% Cell type:markdown id: tags:
Run the following to clone the repository (i.e. create a local copy) to the Colab environment and to change into the directory (`cd`) of the code. Necessary python extensions are installed with `pip`:
Run the following to clone the repository (i.e. create a local copy) to the Colab environment and to change into the directory (`cd`) of the code. The specific version for the course is selected and the necessary python extensions are installed with `pip`:
The repository does not only include the code but also the data that is needed to run the model. Have a look into the `Files` (`Dateien`) section on the left of the Colab screen. The `cca` folder includes the `cca` python package in the `cca` subfolder and the input data for the Tegel application in the `applications/Tegel` folder.
First, load the cca package:
%% Cell type:code id: tags:
``` python
importcca
```
%% Cell type:markdown id: tags:
In order to read in the Tegel data, process it and produce the output, run the following:
