semvec/pypi-packages huggingface dataset:
NavierStokes 0.2.1
Navier Stokes Calculator

# NavierStokes
Pre v.1.0.0 Release  - Still in development
This is a Navier Stokes calculator which is used
in computational fluid dynamics.
This is the same formula that ANSYS Fluent uses.

## Getting Started

### Prerequisites
* `Numpy`
* `Scipy`
* `MatplotLib`

### Installing
```python
pip install NavierStokes
```
To upgrade:
```python
pip install NavierStokes -U
```

## Running the tests
Requires `pytest`
```python
python -m unittest tests.test_TDMAsolver
```

## Documentation
The documentation for:
* [Command Line Functions]()
* [TDMA (Tridiagnal Matrix Algorithm)]()

## Example - See it in Action!
[This page](WIP) uses this module.

## Contributing
All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.

Report all bugs and issues to [this page](https://github.com/rickykim93/NavierStokes/issues)

## Versioning
I use [SemVer](https://semver.org) for versioning.
For the versions available, see the [tags on this repository](https://github.com/rickykim93/NavierStokes/releases)

## Authors
* Kyu Mok (Ricky) Kim - Initial work - [website](https://rickykim.net), [github](https://github.com/rickykim93)

## License
This project is licensed under the MIT License - see the [License](https://github.com/rickykim93/NavierStokes/blob/master/LICENSE)
file for details.

## Acknowledgements
* MIE 1210: Computational Fluid Mechanics - Course from University of Toronto
for teaching me Navier Stokes equations and how to implement them
numdata 2.0.0
A simple package calculating values for a simgle number and created in my Udemy course
Keywords: package numbers calculations

# NumData Documentation
***
## Installation
numdata can be installed using python pip. The package is hosted on [PYPI](https://pypi.org/) and [PYPI-test](https://test.pypi.org/)
```sh
pip install numdata
```
***
## Usage
Initialization is not required for using methods in numdata
```python
from numdata import calculate

# Calculate square of a number
print(calculate.calculateSquare(8))
# 64

# Calculate cube of a number
print(calculate.calculateCube(8))
# 512
```
***