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@@ -46,12 +46,19 @@ Here are some reports that utilize Neo4j's [Graph Data Science Library](https://
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To run Jupyter notebooks, create an `.env` file in the folder from where you open the notebook containing for example: `NEO4J_INITIAL_PASSWORD=neo4j_password_of_my_choice`
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### Further Prerequisites for Python Jupyter Notebooks
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### Further Prerequisites for Python and Jupyter Notebooks
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- Python is required for Jupyter Notebook reports.
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- A conda package manager like [Miniconda](https://docs.conda.io/projects/miniconda/en/latest) or [Anaconda](https://www.anaconda.com/download)(Recommended for Windows) is required for Jupyter Notebook reports.
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- Chromium will automatically be downloaded if needed for Jupyter Notebook PDF reports generation.
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### Further Prerequisites for Graph Visualization
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These tools are needed to run the graph visualization scripts of directory [graph-visualization](./graph-visualization):
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-[Node.js](https://nodejs.org/en)
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-[npm](https://www.npmjs.com)
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### Hints for Windows
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- Add this line to your `~/.bashrc` file if you are using Anaconda3: `/c/ProgramData/Anaconda3/etc/profile.d/conda.sh`. Try to find a similar script for other conda package managers or versions.
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