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Day 17 - Data Science Pipeline with Jupyter, Pandas, & Fastapi
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‎tutorial-reference/Day 17/Pipfile‎

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[[source]]
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name = "pypi"
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url = "https://pypi.org/simple"
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verify_ssl = true
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[dev-packages]
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[packages]
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jupyter = "*"
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pandas = "*"
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jupyterlab = "*"
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notebook = "*"
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fastapi = "*"
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uvicorn = "*"
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[requires]
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python_version = "3.8"

‎tutorial-reference/Day 17/Pipfile.lock‎

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‎tutorial-reference/Day 17/cache/movies-box-office-dataset-cleaned.csv‎

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‎tutorial-reference/Day 17/cache/movies-box-office-dataset.csv‎

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‎tutorial-reference/Day 17/data/2000.csv‎

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‎tutorial-reference/Day 17/data/2001.csv‎

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‎tutorial-reference/Day 17/data/2002.csv‎

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‎tutorial-reference/Day 17/data/2003.csv‎

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‎tutorial-reference/Day 17/data/2004.csv‎

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‎tutorial-reference/Day 17/data/2005.csv‎

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