semvec/pypi-packages huggingface dataset:
lakeformation 0.0.2
Data Access Control as Code (DACAC) Framework based on AWS LakeFormation
License: MIT


.. image:: https://readthedocs.org/projects/lakeformation/badge/?version=latest
    :target: https://lakeformation.readthedocs.io/index.html
    :alt: Documentation Status

.. image:: https://github.com/MacHu-GWU/lakeformation-project/workflows/CI/badge.svg
    :target: https://github.com/MacHu-GWU/lakeformation-project/actions?query=workflow:CI

.. image:: https://codecov.io/gh/MacHu-GWU/lakeformation-project/branch/main/graph/badge.svg
    :target: https://codecov.io/gh/MacHu-GWU/lakeformation-project

.. image:: https://img.shields.io/pypi/v/lakeformation.svg
    :target: https://pypi.python.org/pypi/lakeformation

.. image:: https://img.shields.io/pypi/l/lakeformation.svg
    :target: https://pypi.python.org/pypi/lakeformation

.. image:: https://img.shields.io/pypi/pyversions/lakeformation.svg
    :target: https://pypi.python.org/pypi/lakeformation

.. image:: https://img.shields.io/badge/STAR_Me_on_GitHub!--None.svg?style=social
    :target: https://github.com/MacHu-GWU/lakeformation-project

------


.. image:: https://img.shields.io/badge/Link-Document-blue.svg
    :target: https://lakeformation.readthedocs.io/index.html

.. image:: https://img.shields.io/badge/Link-API-blue.svg
    :target: https://lakeformation.readthedocs.io/py-modindex.html

.. image:: https://img.shields.io/badge/Link-Source_Code-blue.svg
    :target: https://lakeformation.readthedocs.io/py-modindex.html

.. image:: https://img.shields.io/badge/Link-Install-blue.svg
    :target: `install`_

.. image:: https://img.shields.io/badge/Link-GitHub-blue.svg
    :target: https://github.com/MacHu-GWU/lakeformation-project

.. image:: https://img.shields.io/badge/Link-Submit_Issue-blue.svg
    :target: https://github.com/MacHu-GWU/lakeformation-project/issues

.. image:: https://img.shields.io/badge/Link-Request_Feature-blue.svg
    :target: https://github.com/MacHu-GWU/lakeformation-project/issues

.. image:: https://img.shields.io/badge/Link-Download-blue.svg
    :target: https://pypi.org/pypi/lakeformation#files


Welcome to ``lakeformation`` Documentation
==============================================================================

``lakeformation`` is a Data Access Control as Code (DACAC) framework powered by AWS LakeFormation


.. _install:

Install
------------------------------------------------------------------------------

``lakeformation`` is released on PyPI, so all you need is:

.. code-block:: console

    $ pip install lakeformation

To upgrade to latest version:

.. code-block:: console

    $ pip install --upgrade lakeformation
wheat 0.9.5
A concise and fast CLI to log hours in Harvest.
License: MIT
Requires Python: >=3.9,<4.0
Keywords: time,harvest,zoom,calendar,wheat

# Wheat #

A concise and fast CLI to log hours in Harvest.

## Managing Projects ##

Wheat keeps a "projects" file somewhere that it stores task information in. Users can set tasks as active/not active at will. Whatever tasks are present in the task file are shown each time the user is asked to do anything regarding tasks.

## Commands ##

auth: Authenticate with Harvest by providing a personal access token and account id.

task:
    list: Displays your Current Projects and Tasks.
    activate: Set a Project or Task as active.
    sleep: Set a Project or Task as inactive.

meetings:
    next: Displays your next meeting.
    today: Displays today's meetings.
    join: Joins a meeting's video chat if a link is provided.
        Supports <c1>Zoom</c1> and <c1>Google Meets</c1>.
            * Takes Meeting ID as an argument. If none is provided, joins the next meeting on the calendar, if it can.

Note: Meetings commands require you to have logged into your Google account, and will use events from your google calendar.
evxpredictor 0.1.7
A package for predicting buy and sell signals
License: MIT
Requires Python: >=3.9

# Evx predictor mlbot

This is a simple package used to generate buy and sell signals for crypto and conventional stock markets based on the excess volume indicator(EVX)  
You can read more about Evx in the whitepaper [here](https://www.researchgate.net/publication/345313655_DeFiPaper)

# Usage

In your python script simply import the module and use as follows  
from evxpredictor import mlbot

print(mlbot.signal(20,65,120, 0.98,'buy'))

The above methods take an assets opening, closing, and volume of the asset based on the time interval you have chosen, while the last variable is alpha, a probabilistic value. A zero classification output would instruct the user to sell, while one output means don't sell or buy if the asset is not already present in the orders.

You can use empty space instead of alpha to make use of the default value.