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Tobias Quadfasel 22c05e827c feat(add-data): Add actual data used for data generation to repo

Usually, one would not check out the actual data files, but store them
elsewhere (such as in Azure Blob Storage). In this case, it is still
convenient for external reviewers to get an idea of the structure of
the data.

Since the files in total are less than 2MB, this is acceptable for this
specific case.

2024-08-31 14:00:29 +02:00

.docker

feat(base-app): Add docker setup

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app

feat(base-app): Add gunicorn to dependencies

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data

feat(add-data): Add actual data used for data generation to repo

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.pre-commit-config.yaml

feat(project_setup): Initialize project (#1 )

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Dockerfile

feat(base-app): Add docker setup

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poetry.lock

feat(add-data): Update pyproject.toml and poetry.lock files

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pyproject.toml

feat(add-data): Update pyproject.toml and poetry.lock files

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README.md

docs: Add README.md

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README.md

grid_application

Code for my application to Avacon AG for the role of Data Scientist. This is a web app containing different data science use-cases related to power grids and electricity generation.