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Build and manage real-life data science projects with ease.
Python Jupyter Notebook Shell
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savingoyal Initialize datastore_root from cli args in cli.step(...) (#134)
* Initialize datastore_root from cli args in cli.step(...)

Gitter thread - https://gitter.im/metaflow_org/community?at=5e4b8e24d56ddb68a4aff877

Metaflow initializes datastore_root to fetch user code in `step`
command. The behaviour defaults to relying on METAFLOW_DATASTORE_SYSROOT_S3
environment variable to initialize datastore_root. This patch checks if
--datastore_root cli arg can be used instead.

* remove cli.py:769-770
Latest commit 84b3390 Feb 18, 2020

README.md

Metaflow

Metaflow is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning.

For more information, see Metaflow's website.

Getting Started

Getting up and running with Metaflow is easy. Install metaflow from pypi:

pip install metaflow

and access tutorials by typing:

metaflow

Get in Touch

There are several ways to get in touch with us:

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