semvec/pypi-packages huggingface dataset:
py2sterimol 0.0.0
Thin client Python interface to the original Fortran implementation of Sterimol parameters.
License: MIT

# py2sterimol
## Using this template:
1. Run `start_project.py`, which will gather some info and rename everything.
2. Add tests.
3. Add your source code to your source directory.
4. Add your requirements to `./requirements.txt`.
5. Curate examples as python notebooks and add them to `./examples/`.
6. Replace `./py2sterimol_logo.png` with your logo.
7. Delete this line and everything above it, as well as `start_project.py`.

<h1 align="center">BlankPythonProject</h1> 
<h3 align="center">Thin client Python interface to the original Fortran implementation of Sterimol parameters.</h3>

<p align="center">  
  <img alt="py2sterimollogo" src="https://github.com/JacksonBurns/py2sterimol/blob/main/py2sterimol_logo.png">
</p> 
<p align="center">
  <img alt="GitHub Repo Stars" src="https://img.shields.io/github/stars/JacksonBurns/py2sterimol?style=social">
  <img alt="PyPI - Downloads" src="https://img.shields.io/pypi/dm/py2sterimol">
  <img alt="PyPI" src="https://img.shields.io/pypi/v/py2sterimol">
  <img alt="PyPI - License" src="https://img.shields.io/github/license/JacksonBurns/py2sterimol">
</p>

## Online Documentation
[Click here to read the documentation](https://JacksonBurns.github.io/py2sterimol/)
spoonful 0.0.1
Basic Tools in Numerical Methods
License: MIT
Keywords: pypi,spoonful,scientific

﻿# Spoonful Scientific Library

Spoonful is a Python package meant to handle fairly common tasks encounted in mathematics and physics, such as numerical integration, matrix and linear algebra, and root-finding.

## Installation and Upgrading

I'm still trying to figure that one out, I'll need a second lol.

## Usage

The initial release of Spoonful contains some useful functions such as:

 - Integrator.Simpson -- Integration via Simpson's 1/3 rule
 - Integrator.Trapezoid -- Integration via trapezoidal sums
 - ODE.RK4 -- Numerical integration using Runge Kutta of 4th Order
 - ODE.Coupled_RK4 -- Numerical integration of coupled ODEs using Runge Kutta of 4th Order

## Contributing

If you have an idea you'd like me to implement or catch a bug, let me know and I'll try to send a fix ASAP!

## License

MIT
geoenv-cli 0.1.5
GeoEnv is for those that don't want to create a geospatial development environment before you can test out some code you wrote, convert some spatial data or hack on an idea. The cli reduces the steps needed to spin up this working environment by using a docker image that already has a bunch of geospatial tools and libraries preloaded.
License: MIT
Requires Python: >=3.7,<4.0

GeoEnv
------

GeoEnv is for those that don't want to create a geospatial development environment before you can test out some code you wrote, convert some spatial data or hack on an idea. The cli reduces the steps needed to spin up this working environment by using a docker image that already has a bunch of geospatial tools and libraries preloaded.


## Geospatial Working Environment

The docker environment uses [GeoEnv Docker image](https://github.com/gridcell/geoenv-docker) a preloaded ubuntu docker image that includes:

* gdal cli
* proj cli
* aws cli
* jupyter lab
* python packages: gdal, cartopy, numpy, rasterio, shapley, pystac, dask and [more](https://github.com/gridcell/geoenv-docker/blob/main/Dockerfile)


## Getting Started

`python -m "pip" install geoenv-cli`

OR

`python -m "pip" install --user geoenv-cli`


### Using GeoEnv

<img src="https://user-images.githubusercontent.com/915189/171786260-42fb5f9b-b83d-4284-88b7-36a8a97826c2.gif" width="100%"></img> 


## Contribute

If you find a bug or missing that library or application you always use, please file an issue or submit a pull request!