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my-datascience-cookiecutter
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my-datascience-cookiecutter/{{ cookiecutter.repo_name }}
isms ba99332b2d
Start to flesh out READMEs 		9 years ago
..
data Force add data directories 9 years ago
figures Add other directories 📁 9 years ago
notebooks Add other directories 📁 9 years ago
references Add other directories 📁 9 years ago
src Initial commit 9 years ago
.gitignore Move .gitignore to project root 9 years ago
.pylintrc Start to flesh out READMEs 9 years ago
Makefile Add Makefile entries for syncing data to S3 9 years ago
README.md Start to flesh out READMEs 9 years ago
requirements.txt Initial commit 9 years ago

README.md
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{{cookiecutter.project_name}}

{{cookiecutter.description}}

Organization

├── data
│   ├── external       <- Data from third party sources.
│   ├── interim        <- Intermediate data that has been transformed goes.
│   ├── processed      <- The final, canonical data sets for modeling.
│   └── raw            <- The original, immutable data dump.
│
├── notebooks          <- Jupyter or Beaker notebooks. Naming convention is a number (for ordering),
│                         the creator's initials, and a short `-` delimited description, e.g.
│                         `1.0-jqp-initial-data-exploration`.
├── references         <- Reports, data dictionaries, manuals, and all other explanatory materials.
└── src                <- Source code. Possible subdirectories might be `scripts` or `API` for
                          projects with larger codebases.

Basic Commands

Syncing data to S3

  • make sync_data_to_s3 will use s3cmd to recursively sync files in data/ up to s3://{{ cookiecutter.s3_bucket }}/data/.
  • make sync_data_from_s3 will use s3cmd to recursively sync files from s3://{{ cookiecutter.s3_bucket }}/data/ to data/.