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Updated readme file

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2024-05-29 11:23:33 +02:00
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README.md
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@ -8,7 +8,7 @@ Includes tools and workflows for comprehensive data integration and automated me
Follow these steps to install and set up the project: Follow these steps to install and set up the project:
1. Download our GitLab repository in your GitLab folder, or alternatively open a Git Bash terminal and run the following commands 1. Download our GitLab repository in your GitLab folder, or alternatively open a Git Bash terminal and run the following commands:
``` ```
cd Path/to/GitLab cd Path/to/GitLab
git clone https://gitlab.psi.ch/5505/data-integration-and-metadata-annotation.git git clone https://gitlab.psi.ch/5505/data-integration-and-metadata-annotation.git
@ -20,25 +20,27 @@ Follow these steps to install and set up the project:
``` ```
conda env create -f environment.yml conda env create -f environment.yml
``` ```
4. Activate the created environment by running the following command:
## Working with Jupyter Notebook on the `multiphase_chemistry_env`
1. Open an Anaconda Prompt as a regular user, ensure that `multiphase_chemistry_env` is in the list of available enviroments and activate it by running the following commands:
``` ```
conda env list
conda activate multiphase_chemistry_env conda activate multiphase_chemistry_env
``` ```
5. Once the enviroment is activated, register the associated kernel in jupyter by running: 2. Register the associated kernel in Jupyter by running:
``` ```
python -m ipykernel install --user --name multiphase_chemistry_env --display-name "Python (multiphase_chemistry_env)" (multiphase_chemistry_env) python -m ipykernel install --user --name multiphase_chemistry_env --display-name "Python (multiphase_chemistry_env)"
``` ```
3. Start a Jupyter Notebook by running the command:
6. Start a Jupyter Notebook by running the command:
``` ```
jupyter notebook (multiphase_chemistry_env) jupyter notebook
``` ```
and select the `multiphase_chemistry_env` environment from the kernel options. and select the `multiphase_chemistry_env` environment from the kernel options.
## Working with Visual Studio Code (VS Code) on the `multiphase_chemistry_env`
7. Otherwise, for Visual Studio Code (VS Code), after opening your project in VS Code, click on the Python interpreter in the status bar and choose the `multiphase_chemistry_env` environment. 1. Open the project in VS Code, click on the Python interpreter in the status bar and choose the `multiphase_chemistry_env` environment.
## Data integration workflow ## Data integration workflow