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
NoneRelease 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-0.1.5.tar.gz
(6.6 kB
view hashes)
Built Distribution
Close
Hashes for data_toolkit-0.1.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 16b61337be43c4ccdb490772fc0c5346c71a1d7d08c26e9f290fa843af44faf7 |
|
MD5 | 598caa82ff33a151c6e4cb4f62c5467a |
|
BLAKE2b-256 | c74a0517b38d6d7754a160acd6b29a5e2720fb36d61e68193eb160cac741890f |