semvec/pypi-packages huggingface dataset:
microkinetic-toolkit 0.0.1
Python library for microkinetic analysis in catalytic chemistry.
License: MIT

# Introduction
microkinetic_toolkit is made to perform the microkinetic simulation
based on the ab initio calculation such as density functional theory (DFT).

These codes do
* evaluation of reaction energy, reaction Gibbs energy etc. from elementary reaction string
* evaluation of reaction rate constants from above quantities
* solving the rate equation (microkinetic analysis)
* visualization of the chemica reaction network

## Input
File with elementary reactions: json, csv.

## Output
Change of the molar fraction is shown on the screen

## Authors
* Atsushi Ishikawa (National Institute for Materials Science)
* Haruyuki Oda (Hitachi, Ltd.)

## Document
https://atsushi-ishikawa.github.io/microkinetic_toolkit/

## Paper
https://pubs.acs.org/doi/10.1021/acscatal.0c04104
af-dummy 0.0.1
test_func
License: MIT

af_dummy is a Python library for dealing with word pluralization.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install af_dummy .

```bash
pip install af_dummy 
```

## Usage

```python
import af_dummy 

# returns 'words'
foobar.pluralize('word')

# returns 'geese'
foobar.pluralize('goose')

# returns 'phenomenon'
foobar.singularize('phenomena')
```

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## License
[MIT](https://choosealicense.com/licenses/mit/)