semvec/pypi-packages huggingface dataset:
odimh5 0.1.0
A Python package to read ODIM HDF5 files
Requires Python: >3.7.0

# odimh5

[![.github/workflows/run-tests.yaml](https://github.com/enram/odimh5/actions/workflows/run-tests.yaml/badge.svg)](https://github.com/enram/odimh5/actions/workflows/run-tests.yaml)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

A simple Python package to access data in [ODIM HDF5](https://www.eumetnet.eu/wp-content/uploads/2019/01/ODIM_H5_v23.pdf) format.

Limitations:

- (currently) read-only
- Python 3.7+

# Tutorial

## Install from PyPI

    $ pip install odimh5

# Development instructions

## Install the local package

    $ pip install -e .

## Install dev dependencies

    $ pip install -r requirements.txt

## Run tests

    $ pytest
    $ mypy odimh5

## Format code

    $ black .

## Generate and upload a new version

1) Update version number in `setup.py`
2) Make sure everything is commited 
3) Build the package:

```
$ python3 -m build
```

4) Upload it to PyPI:

```
$ python3 -m twine upload dist/*
```

5) Tag it:
   
```
$ git tag v0.1.0
$ git push origin --tags
```
roa-ai-model 1.0.0
ROA ML/DL modeling package

# RAM : Roa AI Model
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### Installation
```python3
pip install roa_ai_model
```


### Usage
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```python3
# 약어 지정
import roa_ai_model as ram
```
```python3
# 전체 함수 호출
from roa_ai_model import * 
```
```python3
# 특정 함수만 호출
from roa_ai_model import update_company_rank
```
### Documentation
- aasdfsadfsadfsadf
- sdfasfasdfsdafsdaf
### Contributors
- Park Sang Hee, ML Enginner, sanghee@roa.ai

### License
- asdfsadfsadf
- asdfsadfsadfsadfsdfsdfsdafsadfsdafa
circllhist 0.3.2
OpenHistogram log-linear histogram library
Requires Python: >=2.7

# Python bindings for libcircllhist

This package requires the [OpenHistogram](https://openhistogram.io) C library,
libcircllhist, to be installed on your system:

https://github.com/openhistogram/libcircllhist/

The bindings themselves can be installed via pip:

    pip install circllhist

Or manually via

    python setup.py install

from this folder.

## Usage Example

```
import circllhist

h = circllhist.Circllhist()
h.insert(123,3)        # Insert value 123, three times
h.insert_intscale(1,1) # Insert 1x10^1
print(h.count())       # Print the count of used bins
print(h.sum())         # Print the sum of all values
```