Skip to main content

FrostAura provides a range of open-source components provide a variety of problem domains.

Project description

fa.intelligence.notebooks

Description

FrostAura Intelligence provides a range of open-source notebooks for Python-based machine learning solutions like:

  • Utilities
  • Environments
  • Labs
  • Experiments

Getting Started

Local

To build the Python package locally, from the root of the project, run python -m build (Legacy way: python setup.py sdist bdist_wheel).

PIP Installation

pip install -U --no-cache-dir frostaura

Example Usage (See all the examples here.)

from frostaura import (models,
                       data_access,
                       engines,
                       managers)

html_data_access = data_access.HtmlDataAccess()
engine = engines.FinvizAssetValuationEngine(html_data_access=html_data_access)

vars(engine.valuate(symbol='AAPL', company_name='Apple Inc.'))

Credits

Contribute

In order to contribute, simply fork the repository, make changes and create a pull request.

Support

If you enjoy FrostAura open-source content and would like to support us in continuous delivery, please consider a donation via a platform of your choice.

Supported Platforms Link
PayPal Donate via Paypal

For any queries, contact dean.martin@frostaura.net.

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

frostaura-1.0.30.tar.gz (25.8 kB view hashes)

Uploaded Source

Built Distribution

frostaura-1.0.30-py3-none-any.whl (35.5 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