semvec/pypi-packages huggingface dataset:
pyradiance 1.2.0
Python inteface for Radiance
Requires Python: >=3.10

![Build & Test](https://github.com/LBNL-ETA/pyradiance/actions/workflows/build_test.yml/badge.svg)
![Downloads](https://img.shields.io/pypi/dm/Pyradiance.svg)

# pyradiance

This package facilitates a Python interface to commonly used Radiance 
command-line tools.

## Installation

You can install pyradiance through pypi as folllows:
```
pip install pyradiance
```
Radiance binaries and libraries came included with pyradiance. You don't need
to separately install Radiance for pyradiance to work.

## [Documentation](https://lbnl-eta.github.io/pyradiance)

## Copyright Notice

Radiance v5.4 Copyright (c) 1990 to 2022, The Regents of the University of 
California, through Lawrence Berkeley National Laboratory (subject to receipt 
of any required approvals from the U.S. Dept. of Energy).  All rights reserved.

If you have questions about your rights to use or distribute this software,
please contact Berkeley Lab's Intellectual Property Office at
IPO@lbl.gov.

NOTICE.  This Software was developed under funding from the U.S. Department
of Energy and the U.S. Government consequently retains certain rights.  As
such, the U.S. Government has been granted for itself and others acting on
its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the
Software to reproduce, distribute copies to the public, prepare derivative 
works, and perform publicly and display publicly, and to permit others to do so.
fixcrypto 0.8.0
Secure encryption library using Double XOR Cipher
Requires Python: <4,>=3.7
Keywords: encryption, crypto, security, xor, cipher

# 🔐 FixCrypto

**Secure Double XOR Cipher encryption for Python**

FixCrypto is a modern encryption library that implements the **Double XOR Cipher** algorithm for text and file protection. Designed for developers who need simple yet effective encryption.

## ✨ Features

- **Double XOR Cipher** - Two-layer XOR encryption with modular arithmetic
- **File encryption** - Encrypt any file type (text, images, documents)
- **Smart key management** - Generate, save, and validate encryption keys
- **Content detection** - Auto-detect file types and content structure
- **QR code support** - Convert encrypted data to scannable QR codes
- **Data recovery** - Attempt recovery of corrupted encrypted data
- **Metadata support** - Add and extract metadata from encrypted data

## Quick Start

### Installation
```bash
pip install fixcrypto
numericals 0.4.1
Numerical methods in pure python
Requires Python: >=3.13

# Numericals

[![PyPI version](https://badge.fury.io/py/numericals.svg)](https://badge.fury.io/py/numericals)
[![PyPI Downloads](https://static.pepy.tech/personalized-badge/numericals?period=total&units=NONE&left_color=GRAY&right_color=BLUE&left_text=downloads)](https://pepy.tech/projects/numericals)
[![License: LGPL-3.0-or-later](https://img.shields.io/badge/License-LGPL--3.0--or--later-orange.svg)](https://spdx.org/licenses/LGPL-3.0-or-later.html)
[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)


-----

Numerical methods in pure Python.

[Documentation](docs/docs.md) is available, but it might be easier to just read the code.

## Installation
```pip install numericals```

## Algorithms
- Integration
    - Trapezoidal Rule
    - Midpoint Rule
    - Simpson's Rule
    - Monte Carlo
    - Gaussian Quadrature

- ODE
    - Euler's Method
    - Heun's Method
    - Runge-Kutta 4

- Optimization
    - Golden Section Search

- Root-finding
    - Bisection Method
    - Secant Method
    - Newton's Method
    - Regula Falsi
    - Illinois Algorithm

## Tests
```
python -m pytest tests
```

## Copyright

Copyright (C) 2026 Andrew Yoo

Numericals is free software. You may redistribute or modify it under the terms of the GNU Lesser General Public License: feel free to choose either version 3.0 or a later one.

You should have received a copy of the GNU LGPL along with this program, located in the LICENSE file. If not, see http://www.gnu.org/licenses/lgpl.
pycap-dss 1.3.0
long_description.rst
Requires Python: >=3.10
Keywords: streamflow depletion, analytical solutions, drawdown, groundwater, hydrogeology

pycap-dss
=========

For current development version please go to: https://github.com/DOI-USGS/pycap-dss  


Version 1.3.0
-------------
![Tests](https://github.com/doi-usgs/pycap-dss/actions/workflows/test.yaml/badge.svg)
[![PyPI version](https://badge.fury.io/py/pycap-dss.svg)](https://badge.fury.io/py/pycap-dss)
[![Conda Version](https://img.shields.io/conda/vn/conda-forge/pycap-dss.svg)](https://anaconda.org/conda-forge/pycap-dss)
[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)

Python Decision Support System Tool for estimating High Capacity Well Responses
-------------------------------------------------------------------------------

This python module includes functions to evaluate analytical solutions
for drawdown and streamflow depletion written to support simple analysis
of potential responses by high-capacity pumping wells.

Documentation
-------------
For more details, see the [pycap documentation](https://doi-usgs.github.io/pycap-dss/)

Also see this article in _Groundwater_:  
Fienen, M.N., Pruitt, A.H., and Reeves, H.W. 2026. _Teach Me How to PyCap: A High-Capacity Well Decision Support Tool Using Analytical Solutions in Python._ Groundwater. [DOI: 10.1111/gwat.70046](https://doi.org/10.1111/gwat.70046) 

Metadata Links
--------------

[Code of Conduct](CODE_OF_CONDUCT.md)

[Contributing](CONTRIBUTING.md)

[License](LICENSE.md)

[Disclaimer](DISCLAIMER.md)

Authors:          Michael N. Fienen, Aaron H. Pruitt, Howard W. Reeves
Point of contact: Michael N. Fienen (mnfienen@usgs.gov)  
Repository Type:  Formal Python package  
Year of Origin:   2024 (original publication)  
Year of Version:  2025  
Version:          1.0.0   
Digital Object Identifier (DOI): https://doi.org/10.5066/P13XHZ9J  

Suggested Citation
------------------
Fienen, M.N., Pruitt, A.H., and Reeves, H.W. (2025). Python Decision Support System Tool for estimating High Capacity Well Responses: pycap-dss. version 1.0. USGS Software Release doi: 10.5066/P13XHZ9J