semvec/pypi-packages huggingface dataset:
automate-pricing-nassimezz 0.0.1
Bunch of functions for insurance pricing purposes
Requires Python: ~=3.7

# automate-insurance-pricing-nezz

## Introduction
Library built on top of pandas gathering within submodules a bunch of functions aiming at speeding up usual tasks while dealing with data prep, visualization, profitability analysis and risk modelling in insurance field.


# Getting Started

## 1.	Installation process

To install use pip: pip install chainladder

Alternatively, install directly from github: pip install git+https://github.com/nassmim/automate-insurance-pricing-nezz

*Note: This package requires Python 3.7 and later.*

## 2.	Software/Libraries dependencies

Below the list of necessary libraries:

*chainladder==0.7.1
docx-mailmerge==0.5.0
graphviz==0.13.2
hyperopt==0.2.3
imbalanced-learn==0.6.2
joypy==0.2.2
lightgbm==2.3.0
matplotlib==3.1.3
numpy==1.18.1
openpyxl==3.0.3
pandas==1.0.3
requests==2.22.0
scikit-learn==0.22.1
scipy==1.4.1
seaborn==0.10.0
statsmodels==0.11.1
streamlit==0.59.0
xgboost==0.90
xlrd==1.2.0
XlsxWriter==1.2.7
xlwings==0.19.2*


# Contribute
Anyone willing to make this library more exhaustive and efficient
huisbaasje-client 0.1.0
Client for Huisbaasje
Requires Python: >=3.6

# Huisbaasje client

Client to communicate with the API behind [Huisbaasje](https://www.huisbaasje.nl/).

Huisbaasje is an app and measuring device to monitor the usage of electricity and gas in real time.

[![Build Status](https://travis-ci.org/denniss17/huisbaasje-client.svg?branch=master)](https://travis-ci.org/denniss17/huisbaasje-client)
[![Coverage Status](https://coveralls.io/repos/github/denniss17/huisbaasje-client/badge.svg?branch=master)](https://coveralls.io/github/denniss17/huisbaasje-client?branch=master)

## Usage

See the [example](examples/example.py) on how to use this library.

## Development

This project uses [pipenv](https://pypi.org/project/pipenv/) for dependency and environment management.

Install dependencies using

    pipenv install --dev
    
## Testing

Run all tests using

    pipenv run pytest
    
## Packaging

Create a package using

    python3 setup.py sdist bdist_wheel
    
This creates a package in `dist`

Upload the package using

    python3 -m twine upload dist/*
finntk 0.0.73
Finnish NLP toolkit

# FinnTK

<p align="center">
<a href="https://badge.fury.io/py/finntk"><img src="https://badge.fury.io/py/finntk.svg" alt="Available on PyPI" height="18"></a>
<a href="https://finntk.readthedocs.io/en/latest/?badge=latest"><img alt="Documentation Status" src="https://readthedocs.org/projects/finntk/badge/?version=latest"></a>
</p>

Some simple high level tools for processing Finnish text.

This project is according to my personal preferences but might be
helpful to others, particularly for exploratory coding. For larger projects you may prefer to use [OMorFi](https://github.com/flammie/omorfi) directly.

## Installation ##

This project assumes you've installed HFST and OMorFi system-wide, like so:

  $ PIP_IGNORE_INSTALLED=1 pipenv install --site-packages finntk

Part of the reason for this is because [HFST is not currently pip installable](https://github.com/hfst/hfst/issues/375).

The current known good versions of HFST and OMorFi are in installed with Docker in the `docker` directory.

## License ##

This project is licensed under the Apache v2 license. The code in
`finntk/vendor` is vendorized from other projects and is licensed under their
respective licenses.

## Development ##

### Release process ###

1. Make a release commit in which the version is incremented in setup.py

2. Make a git tag of this commit with `git tag v$VERSION`

3. Push release to GitHub with `git push --tags`

4. Upload to PyPI with `python3 setup.py sdist bdist_wheel` and `twine upload dist/*`