Skip to main content

ML & data helper code!

Project description

ML & data helper code!

Installation

$ pip install -r requirements.txt

$ pip install setup.py

Development

This project includes a number of helpers in the Makefile to streamline common development tasks.

Environment Setup

The following demonstrates setting up and working with a development environment:

### create a virtualenv for development

$ make virtualenv

$ source env/bin/activate


### run dt cli application

$ dt --help


### run pytest / coverage

$ make test

Releasing to PyPi

Before releasing to PyPi, you must configure your login credentials:

~/.pypirc:

[pypi]
username = YOUR_USERNAME
password = YOUR_PASSWORD

Then use the included helper function via the Makefile:

$ make dist

$ make dist-upload

Deployments

Docker

Included is a basic Dockerfile for building and distributing Data Toolkit, and can be built with the included make helper:

$ make docker

$ docker run -it dt --help

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

data-toolkit-0.1.3b1.tar.gz (6.3 kB view hashes)

Uploaded Source

Built Distribution

data_toolkit-0.1.3b1-py3-none-any.whl (8.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page