semvec/pypi-packages huggingface dataset:
njactb 0.0.2
Python wrapper for njactb.
License: MIT

njactb
==========================

|PyPi Version| |License Status|

Python wrapper for `njactb <http://www.njactb.org/>`_ (New Jersey Assocation of County Tax Boards) `record search <http://tax1.co.monmouth.nj.us/cgi-bin/prc6.cgi?menu=index&ms_user=monm&passwd=data>`_. This website provides property taxes, square footage, lot size, purchase history, etc. of New Jersey properties. Requires Python 3.6+.

Development
-----------

Setup
~~~~~

::

    make install

Test
~~~~

::

    make test

.. |PyPI Version| image:: https://img.shields.io/pypi/v/njactb.svg
   :target: https://pypi.python.org/pypi/njactb
.. |License Status| image:: https://img.shields.io/badge/license-MIT-blue.svg
   :target: https://raw.githubusercontent.com/AlJohri/njactb/master/LICENSE
njmls 0.0.3
Python wrapper for njmls.
License: MIT

njmls
==========================

|PyPi Version| |License Status|

Python wrapper for njmls. Requires Python 3.6+.

Development
-----------

Setup
~~~~~

::

    make install

Test
~~~~

::

    make test


Disclaimer
----------

.. |PyPI Version| image:: https://img.shields.io/pypi/v/njmls.svg
   :target: https://pypi.python.org/pypi/njmls
.. |License Status| image:: https://img.shields.io/badge/license-MIT-blue.svg
   :target: https://raw.githubusercontent.com/AlJohri/njmls/master/LICENSE
gsmls 0.0.4
Python wrapper for gsmls.
License: MIT

gsmls
==========================

|PyPi Version| |License Status|

Python wrapper for gsmls. Requires Python 3.6+.

Development
-----------

Setup
~~~~~

::

    make install

Test
~~~~

::

    make test


Disclaimer
----------

.. |PyPI Version| image:: https://img.shields.io/pypi/v/gsmls.svg
   :target: https://pypi.python.org/pypi/gsmls
.. |License Status| image:: https://img.shields.io/badge/license-MIT-blue.svg
   :target: https://raw.githubusercontent.com/AlJohri/gsmls/master/LICENSE
gym-shopping-cart 0.2.0
An OpenAI Gym for Shopping Cart Reinforcement Learning
License: MIT

# gym-display-advertising

An OpenAI Gym for Shopping Cart Reinforcement Learning.

This is a project by [Winder Research](https://WinderResearch.com), a Cloud-Native Data Science consultancy.

## Installation

`pip install gym-shopping-cart`

## Usage

This example will use the small example data included in the repo.

```python
import gym
import gym_shopping_cart

env = gym.make("ShoppingCart-v0")
episode_over = False
rewards = 0
while not episode_over:
    state, reward, episode_over, _ = env.step(env.action_space.sample())
    print(state, reward)
    rewards += reward
print("Total reward: {}".format(rewards))
```

## Real Shopping Cart Data

This environment uses real shopping cart information from the [Instacart dataset](https://tech.instacart.com/3-million-instacart-orders-open-sourced-d40d29ead6f2).

To help read this data the library also comes with a data parser. This loads the raw data and cleans the data to be in a format expected by the environment.

## Credits

Gitlab icon made by [Freepik](https://www.flaticon.com/authors/freepik) from [www.flaticon.com](https://www.flaticon.com/).