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@@ -46,14 +46,63 @@ The internal structure and relations of the data frames are included in the proj
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`github2pandas` is available on [pypi](https://pypi.org/project/github2pandas/). Use pip to install the package.
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### global
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On Linux:
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```
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sudo pip3 install github2pandas
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sudo pip install github2pandas
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```
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On Windows as admin or for one user:
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```
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sudo pip3 install github2pandas
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pip install github2pandas
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pip install --user github2pandas
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```
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## Application
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### in virtual environment:
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```
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pipenv install github2pandas
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```
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## Usage
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GitHub token is required for use, which is used for authentication. The [website](https://docs.github.com/en/github/authenticating-to-github/creating-a-personal-access-token) describes how you can generate this for your GitHub account. Customise the username and project name and explore any public or private repository you have access to with your account!
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Access token is to define in `.env` oder `.py (.ipynb)` file. The default value of python.envFile setting is `${workspaceFolder}/.env`
The corresponding [github2pandas_notebooks](https://github.com/TUBAF-IFI-DiPiT/github2pandas_notebooks/blob/main/README.md) repository illustrates the usage with examplary investigations.
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The documentation of the module is available at [https://github2pandas.readthedocs.io/](https://github2pandas.readthedocs.io/).
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