semvec/pypi-packages huggingface dataset:
factoryos-Lib 0.0.1
A generic and reusabe package of machine learning models to use for Valiot prodicts
Requires Python: >=3.7

# Valiot Data Science Library

This is a repository of data science algorithms using Valiot Worker jobs as base

# Current list of algorithms

1. MovingAverage: Uses the average of the last n elements
2. Stats: Calculate the standard deviation and variance anc store in a variable

# Installation
```
pip install factoryos_lib
```

# Getting started

Create a job and call the execute function

```
@vw.job(name='TEST_DATA_STATS',
        alias='TEST_DATA_STATS',
        description="t",
        queueType=QueueType.ON_DEMAND,
        schedule="*/60 * * * *",
        enabled=True,
        lockRequired=True
        )

def stats_executor(job, log, update_job, get_job_status, context, update_context, **kwargs):
    f = Stats()
    kwargs = {"input": {
        "variable": "TEST_DATA"
    }}
    f.execute(job, log, update_job, get_job_status, context, update_context, **kwargs)
```
doubutsushogi 0.0.5
Doubutsu shogi AI

DOUBUTSUSHOGI
=============
[![](https://badge.fury.io/py/doubutsushogi.svg)](https://badge.fury.io/py/doubutsushogi)
[![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://kota7-streamlit-doubutsushogi-appstreamlit-app-weir3f.streamlit.app/)

A [doubutsushogi (animal chess)](https://en.wikipedia.org/wiki/D%C5%8Dbutsu_sh%C5%8Dgi) analyzer.

- This project uses the complete state values calculated in [doubutsushogi-solve](https://github.com/kota7/doubutsushogi-solve/releases) project.
- An interactive analyzer app is deployed on the [Streamlit Cloud](https://github.com/kota7/doubutsushogi-solve/releases).

## Install

```shell
# from pypi
pip3 install doubutsushogi

# or from github
git clone https://github.com/kota7/doubutsushogi-py.git
pip3 install -U ./doubutsushogi-py
```

## Some usage

```python
from doubutsushogi.game import State

# game state at the beginning
s = State.initial_state()
print(s)
#  ------- 
# | k l z |
# | . h . |
# | . H . |
# | Z L K |
#  ------- 
# H: 0 Z: 0 K: 0
# h: 0 z: 0 k: 0
# Player 1's turn
```

```python
from doubutsushogi.evaluate import evaluate_states

# Numeric evalutation of the state
# The first run takes some time (typically a few minutes) to downloading database from https://github.com/kota7/doubutsushogi-solve/releases
evaluate_states([s])
#[-4612]
# Note: positive value indicates that the first player is winning, 
#       negative the second player,
#       and zero means a tie.
```
journalizeio 0.0.4
Client library for journalize.io
Requires Python: >=3.6

# Journalize Python Library

The Journalize Python Library provides access to the Journalize API from
applicaitons written in the Python language.

## Installation

```sh
pip3 install journalizeio
```

## Usage

```python
from journalizeio import JournalizeClient

# Initialize client
client = JournalizeClient("your_api_key")

# Test connectivity and API key
client.ping()

# Record financial transaction
client.record(
    amount=15.00,
    tags={"Account": "Revenue", "Order": "1123"}
)
```

## Manual Build

1. Increment version in setup.py, client.py, update changelog

2. Perform build

```sh
python3 -m build
```

3. Uplaod to test pypi. Username `__token__` password is API Key. 
   
```
python3 -m twine upload --repository testpypi dist/*
```

4. Uplaod to pypi. Username `__token__` password is API Key. 
   
```
python3 -m twine upload dist/*
```