Register
Login
Resources
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Product
Data Engine LLMs Platform Enterprise
Pricing Explore
Connect to our Discord channel
Peter Bull 03e072f265
Use URL to avoid checking creds
8 years ago
1f06e5779f
Replace | with │ :bike::house:
8 years ago
ba99332b2d
Start to flesh out READMEs
8 years ago
03e072f265
Use URL to avoid checking creds
8 years ago
d96bce8e72
Bad copy-pasta
8 years ago
Storage Buckets

README.md

You have to be logged in to leave a comment. Sign In

cookiecutter-data-science

An opinionated, but not-afraid-to-be-wrong project template for data science projects. Pull requests welcome. Debate encouraged.

Requirements to create project:

To start a new project:

cookiecutter https://github.com/drivendata/cookiecutter-data-science

Data

** By default, the data folder is included in the .gitignore file.** If you have a small amount of data that rarely changes, you may want to include the data in the repository. Github currently warns if files are over 50MB and rejects files over 100MB. Some other options for storing large data include AWS S3 with a syncing tool (e.g., s3cmd), Git Large File Storage, Git Annex, and dat.

The prefered workflow if data is not in the repository is to have a make command make data that will download or create the relevant datasets.

Tip!

Press p or to see the previous file or, n or to see the next file

About

No description

Collaborators 1

Comments

Loading...