semvec/pypi-packages huggingface dataset:
muoblpsolvers 0.0.13
Solvers for multi objective linear programming
Requires Python: >=3.11

# Solvers
This package contains all solver implementations and required utility scripts.

---

## Installation
```shell
pip install muoblpsolvers
```
Or use any other package manager.

Alternatively you can install locally.
```shell
$ cd multiobjective-lp/solvers # package root
$ pip install -e .
```

### Implement C++ python bindings
C++ bindings are implemented in standalone project [muoblpbindings](https://github.com/jasieksz/muoblpbindings)

## Example Solver
1. See example [SummedObjectivesLpSolver](src/muoblpsolvers/summed/SummedObjectivesLpSolver.py)
2. Solver has to be a class that extends `LpSolver`
3. Solver needs to override method `actualSolve` to accept an instance of `MultiObjectiveLpProblem`
spotmate 2.0.2
A command-line utility tool for Spotify playlists and albums
Requires Python: >=3.9

<p align="center">
  <img src="logo.png" alt="Spotify CLI Tool Logo" width="200"/>
</p>
<h1 align="center">Spotify Manager</h1>
<p align="center">
  A command-line utility tool for Spotify playlists and albums.
</p>
<br>

# IMPORTANT - Before you use the package, you'll need to do the following:

- Login to Spotify Developers [Website](https://developer.spotify.com/) with your spotify account. Go to user dashboard and create an new app.
- Fill in the required details, Redirect URIs as: http://127.0.0.1:8888/callback. Then check the Web API checkbox and save.
- After creating the app, click in the app and go to Settings. From here copy your Client ID and Client Secret. These will be needed for authentication.
- Install python and pip in your system.

### Features

- Copy all/range songs from one playlist to another
- Remove/Delete a playlist from your library
- Remove all/range of songs from your Liked/Private playlists
- Export all/range songs from a playlist to JSON/CSV
- Import all songs from JSON/CSV to a playlist

### Installation

```bash
pip install spotmate
```

### Usage

```bash
spotmate
```

# Run Project Locally

Clone the project

```bash
  git clone https://github.com/riAssinstAr/Spot-Mate.git Spotmate
```

Go to the project directory

```bash
  cd Spotmate
```

Install dependencies

```bash
  pip install -r requirements.txt
```

Build the project

```bash
  python -m build
```

## FAQ

- If the package doesn't work as intended or if you'd like to request a new feature to be added, please feel to contact me or create a issue.

- It is a prerequisite for all users to create the Spotify app with the Spotify account the user wish to manage. Without the Client ID and Secret the app will not work.
fglatch 0.4.0
CLI and Python extensions for the LatchBio platform.
Requires Python: >=3.12

# fglatch


[![CI](https://github.com/fulcrumgenomics/fglatch/actions/workflows/python_package.yml/badge.svg?branch=main)](https://github.com/fulcrumgenomics/fglatch/actions/workflows/python_package.yml?query=branch%3Amain)
[![Python Versions](https://img.shields.io/badge/python-3.12_|_3.13-blue)](https://github.com/fulcrumgenomics/fglatch)
[![MyPy Checked](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)
[![uv](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/uv/main/assets/badge/v0.json)](https://github.com/astral-sh/uv)
[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://docs.astral.sh/ruff/)

CLI and Python extensions for Latch.

## Recommended Installation

Install the Python package and dependency management tool [`uv`](https://docs.astral.sh/uv/getting-started/installation/) using official documentation.

Install the dependencies of the project with:

```console
uv sync --locked
```

To check successful installation, run:

```console
uv run fglatch --help
```

## Development and Testing

See the [contributing guide](./CONTRIBUTING.md) for more information.
matmalib 0.2.6
Add your description here
Requires Python: >=3.12

# matmalib

## About
This is a Python package designed by the Marianski Lab to easily create and design figures for publication, do data analysis from reading the output files of several commonly used QChem software such as Gaussian 16, ORCA, CP2k FHI-AIMS, and GROMMACS, create input files for these pieces of ssoftware and help automate several different computational chemistry workflows.

Documentation for the colors can be found [here](https://pratiman-91.github.io/colormaps/docs/Sequential)

## Dependencies
You need the following python packages to use this package:  

Python >= 3.12  

Numpy  
Matplotlib  
Colormap <br>
Networkx <br>
py3Dmol <br>

In your conda environment, run: <br>
```
conda install numpy matplotlib colormap networkx py3Dmol
```

## Install Instructions
To install the package you can run  
```
pip install matmalib
```

To update the package:
```
pip install matmalib --upgrade
```