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conda
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# Cookiecutter Data Science
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# Cookiecutter Data Science - Conda
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_A logical, reasonably standardized, but flexible project structure for doing and sharing data science work._
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@@ -60,8 +60,7 @@ The directory structure of your new project looks like this:
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├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
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│ └── figures <- Generated graphics and figures to be used in reporting
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│
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├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
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│ generated with `pip freeze > requirements.txt`
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├── requirements <- The requirements directory for reproducing the analysis environment
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│
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├── src <- Source code for use in this project.
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│ ├── __init__.py <- Makes src a Python module
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@@ -28,8 +28,8 @@ Project Organization
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├── reports <- Generated analysis as HTML, PDF, LaTeX, etc.
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│ └── figures <- Generated graphics and figures to be used in reporting
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│
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├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
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│ generated with `pip freeze > requirements.txt`
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├── requirements <- The requirements file for reproducing the analysis environment, e.g.
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│ generated with `conda env export > requirements/environment.yaml`
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│
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├── setup.py <- makes project pip installable (pip install -e .) so src can be imported
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├── src <- Source code for use in this project.
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