Skip to main content

A package for a quick and dirty portfolio analysis.

Project description

stockeasy

Quick and Easy Stock Portfolio Analysis - FOR ENTERTAINMENT PURPOSES ONLY!!

Note

I use Docker for enviroment management; as such, my build process will deviate from more classical approaches.

docker build -f ./container/dockerfile . -t stockeasy:develop

pip install -r requirements_dev.txt
python setup.py sdist bdist_wheel
twine upload --repository-url https://test.pypi.org/legacy/ dist/*
pip install --index-url https://test.pypi.org/simple/ stockeasy

References

https://towardsdatascience.com/build-your-first-open-source-python-project-53471c9942a7 https://medium.com/@michaelekpang/creating-a-ci-cd-pipeline-using-github-actions-b65bb248edfe

Python Testing with pytest ISBN 978-1-68050-240-4 The Wall Street Journal Guide To Information Graphics ISBN 978-0-393-34728-9

Project details


Download files

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

Source Distribution

stockeasy-0.0.20220223150514.tar.gz (1.8 kB view hashes)

Uploaded Source

Built Distribution

stockeasy-0.0.20220223150514-py3-none-any.whl (2.6 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