semvec/pypi-packages huggingface dataset:
sdb2xml 0.2.0
Dump SDB file to xml using apphelp.dll
Requires Python: >=3.10
Keywords: appcompat, apphelp, sdb, sdb2xml, shim, shimeng

# sdb2xml

A tool for converting Microsoft Application Compatibility Database (SDB) files to XML format.

## Features

- Parses SDB files used by Windows for application compatibility.
- Converts SDB data into readable XML.
- Useful for analysis, migration, or documentation.

## Requirements

- Python 3.10+

## Usage

### With uv (recommended)

1. [Install uv](https://docs.astral.sh/uv/getting-started/installation/).
2. Use `uvx sdb2xml` to run this tool, or `uv tool install sdb2xml` to install it.

For help, run:
```bash
uvx sdb2xml --help
```
or when installed:
```bash
sdb2xml --help
```

### With pip

Install this tool using `pip`:
```bash
pip install sdb2xml
```

For help, run:
```bash
sdb2xml --help
```
You can also use:
```bash
python -m sdb2xml --help
```

## Contributing

Contributions are welcome! Please open issues or submit pull requests.

## License

This project is licensed under the MIT License.
SBGv001-granules 1.0.1
SBG-TIR OTTER Collection 1 Data Product Granule Encapsulation Classes
Requires Python: >=3.10

# SBG-TIR OTTER Collection 1 Data Product Granule Encapsulation Classes

[![CI](https://github.com/sbg-tir/SBG-TIR-granules/actions/workflows/ci.yml/badge.svg)](https://github.com/sbg-tir/SBG-TIR-granules/actions/workflows/ci.yml)

[Gregory H. Halverson](https://github.com/gregory-halverson-jpl) (they/them)<br>
[gregory.h.halverson@jpl.nasa.gov](mailto:gregory.h.halverson@jpl.nasa.gov)<br>
NASA Jet Propulsion Laboratory 329G
fillit 0.1.0
A python script generator for [42](www.42.fr) school fillit project
Requires Python: >=3.10
Keywords: 42, fillit, tetriminos

# fillit 42 generator

A python generator for [42](www.42.fr) school fillit project, see fillit.fr.pdf

## Installation:

`pip install fillit`

## Run it without installation:

`uvx fillit`

## Usage:

`fillit [tetrimino_nbr]`

## Examples:

See examples directory for an output example.

## Code Quality:

This is one of my first python project (2015), originaly coded in python 2.7 for learning purposes and then updated to version 3 so that students can continue to use it (thanks for pointing out that it was no longer working btw). It is slow and not optimized but the output is still valid and I'll probably keep it as is to remind me of my beginnings :)
meu-investimento-vinimedeiros 0.3
Uma biblioteca para cálculos de investimentos.
Requires Python: >=3.6

# Meu Investimento

Uma biblioteca Python para cálculos de investimentos.

## Instalação

Você pode instalar a biblioteca via pip:

```bash
pip install meu_investimento
```

## Uso

```python
from investimentos import calcular_retorno_investimento, calcular_juros_compostos

valor_inicial = 1000
valor_final = 1500

retorno = calcular_retorno_investimento(valor_inicial, valor_final)
print(f"Retorno do investimento: {retorno:.2f}%")

valor_final_juros = calcular_juros_compostos(valor_inicial, 6, 5)
print(f"Valor final com juros compostos: R${valor_final_juros:.2f}")
```
FlamingoBaryonResponseEmulator 1.1.0
A Gaussian process emulator predicting the baryonic response for a range of wavelengths, redshifts, and galaxy formation model trained on the FLAMINGO suite of simulations.
Requires Python: >3.10.0

FlamingoBaryonResponseEmulator
==============================

A Gaussian process emulator predicting the baryonic response for a range of
wavelengths, redshifts, and galaxy formation model trained on the [FLAMINGO
suite of simulations](https://flamingo.strw.leidenuniv.nl/).

Installation
------------

The package can be installed easily from PyPI under the name `FlamingoBaryonResponseEmulator`,
so:

```
pip3 install FlamingoBaryonResponseEmulator
```

This will install all necessary dependencies.

The package can be installed from source, by cloning the repository and
then using `pip install -e .` for development purposes.


Requirements
------------

The package requires a number of numerical and experimental design packages.
These have been tested (and are continuously tested) using GitHub actions CI to
use the latest versions available on PyPI. See `requirements.txt` for details
for the packages required to develop the emulator. The packages will be
installed automatically by `pip` when installing from PyPI.

Example
-------


Citation
--------

Please cite our paper when you use the FlamingoBaryonResponseEmulator::

```
@ARTICLE{FLAMINGO_Baryon_effect_emulator,
       author = {{Schaller}, Matthieu and {Schaye}, Joop and {Kugel}, Roi and {Broxterman}, Jeger C. and {van Daalen}, Marcel P.},
        title = "{The FLAMINGO project: Baryon effects on the matter power spectrum}",
      journal = {Monthly Notices of the Royal Astronomical Society},
     keywords = {large-scale structure of Universe, cosmology: theory, methods: numerical, Astrophysics - Cosmology and Nongalactic Astrophysics},
         year = 2025,
        month = may,
       volume = {539},
       number = {2},
        pages = {1337-1351},
          doi = {10.1093/mnras/staf569},
archivePrefix = {arXiv},
       eprint = {2410.17109},
 primaryClass = {astro-ph.CO},
}
```

Author
------

+ Matthieu Schaller (@MatthieuSchaller)
sphinx-ext-vizjs 0.1.1
Sphinx extention for vizjs
Requires Python: >=3.11

sphinx-ext-vizjs
----------------

Install:

```bash
pip install sphinx-ext-vizjs
```

Add to your `conf.py`:

```python
extensions = [
    "sphinx_ext_vizjs",
    ...
]
```

Use in your rst:

```rst
.. vizjs::

   digraph {
     a -> b
   }
```