semvec/pypi-packages huggingface dataset:
LEMBAS-re 0.1.0
Re-implementation of LEMBAS (https://github.com/Lauffenburger-Lab/LEMBAS)
License: MIT

# LEMBAS

This is a re-implementation of LEMBAS. See the [github](https://github.com/Lauffenburger-Lab/LEMBAS) and associated [manuscript](https://doi.org/10.1038/s41467-022-30684-y) for details. See the [Documentation](https://hmbaghdassarian.github.io/LEMBAS/) and [tutorial](https://hmbaghdassarian.github.io/LEMBAS/macrophage_example/) for implementation.

## Installation instructions

Pull LEMBAS from [PyPI]() (consider using pip3 to access Python 3):

```
pip install LEMBAS_re
```
openbb-terminal-nightly 3.2.4.dev202403140009
Investment Research for Everyone, Anywhere.
License: MIT
Requires Python: >=3.8, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.11.*, !=3.12.*

# OpenBB SDK v3

[![Downloads](https://static.pepy.tech/badge/openbb)](https://pepy.tech/project/openbb)
[![LatestRelease](https://badge.fury.io/py/openbb.svg)](https://github.com/OpenBB-finance/OpenBBTerminal)

| OpenBB is committed to build the future of investment research by focusing on an open source infrastructure accessible to everyone, everywhere. |
|:--:|
| ![OpenBBLogo](https://user-images.githubusercontent.com/25267873/218899768-1f0964b8-326c-4f35-af6f-ea0946ac970b.png) |
| Check our website at [openbb.co](www.openbb.co) |

## Overview

OpenBB SDK provides a convenient way to access raw financial data from multiple data providers. This allows users to build custom financial dashboards and reports in minutes.

More information on this product can be found [here](https://openbb.co/products/sdk)

## Installation

The command below provides access to the core functionalities behind the [OpenBB Terminal](https://openbb.co/products/terminal).

```python
pip install openbb==3.2.4
```

If you wish to utilize our **Portfolio Optimization** or **Machine Learning / Artificial Intelligence** toolkits, please see instructions [here](https://docs.openbb.co/terminal/installation).

## Usage

Access our fully fledged financial SDK with a single line of python code.

```python
from openbb_terminal.sdk import openbb
```

Everything you need to use the OpenBB SDK can be found on our [Official Documentation](https://docs.openbb.co/sdk).

Main uses cases can be seen below.
___

### RAW FINANCIAL DATA AT YOUR FINGERTIPS

Access raw financial data from any data source that you are interested. The open source nature of this SDK makes it so that this is an ever-growing project and that everyone can contribute to.

![Stocks Load](https://user-images.githubusercontent.com/25267873/218906336-cebd1fc8-7e7a-45bc-a5fc-641eb19c3e8c.png)

### GENERATE INSIGHTS 10X FASTER

For most of the functionalities, adding `_chart` to the function will allow you to visualize the output directly from a Jupyter Notebook. Not only speeding up the time it takes to create a plot for the data you are interested in, but making building custom reports much faster.

![Economy Treasury Chart](https://user-images.githubusercontent.com/25267873/218906112-b2272d43-11fc-4ec1-9a8f-b2d8e2ed7dc1.png)
nsimplex 0.0.1
A python package that implements the geometric object of a simplex.
License: MIT

# Simplex 
![PyPI Version](https://img.shields.io/pypi/v/nsimplex.svg) ![PyPI Downloads](https://static.pepy.tech/badge/nsimplex)

A python package that implements the geometric object of a [simplex](https://en.wikipedia.org/wiki/Simplex).

## Usage 
Here is an example on how to get the mapping from barycentric coordinates (``concentrations``) to cartesian coordinates (``coords``) for a ``n_dim = 2`` for motifs with 12 atoms in their first coordination shell. ``generators`` return the unique set of concentration of the sorted possible concentrations, ``count`` is their multiplicities. This example can be found in the ``examples/`` folder. 

```python
import simplex as sp 

triangle = sp.Simplex(n_dim=2, edge_length=1, nneigh=12)
concentrations, coords = triangle.get_mapping()
generators, counts = triangle.get_generators(concentrations)
```

## Installation
For a standalone Python package or Conda environment, please use:
```bash
pip install --user simplex
```

If you want to install the lastest git commit, please replace ``simplex`` by ``git+https://github.com/killiansheriff/simplex.git``.

## Contact
If any questions, feel free to contact me (ksheriff at mit dot edu).

## References & Citing 
If you use this repository in your work, please cite:

```
@article{TOBEUPDATED,
  title={TOBEUPDATED},
  author={Sheriff, Killian and Cao, Yifan and Freitas, Rodrigo},
  journal={arXiv preprint TOBEUPDATED},
  year={2024}
}
```
polyaenum 0.0.1
A python implementation of Polya's enumeration theory.
License: MIT

# Polya 
![PyPI Version](https://img.shields.io/pypi/v/polyaenum.svg) ![PyPI Downloads](https://static.pepy.tech/badge/polyaenum)

A python implementation of Polya's enumeration theory and pattern inventory formula.

# Usage 

Here is an example on how to extract the cycle index polynomial (p_g) and number of distinct first coordination polyhedron (nms) for the fcc crystal structure with a number of ntypes = 3 chemical elements. Additonal graph geometries can be defined in ``polya/_src/graphs.py``. This example can be found in the ``examples/`` folder. 

```python
from polya import Polya
pl = Polya(graph_name="fcc")
p_g, nms = pl.get_gt(ntypes=3)
print(p_g)
```

## Installation
For a standalone Python package or Conda environment, please use:
```bash
pip install --user polya
```

If you want to install the lastest git commit, please replace ``polya`` by ``git+https://github.com/killiansheriff/polya.git``.

## Contact
If any questions, feel free to contact me (ksheriff at mit dot edu).

## References & Citing 
If you use this repository in your work, please cite:

```
@article{TOBEUPDATED,
  title={TOBEUPDATED},
  author={Sheriff, Killian and Cao, Yifan and Freitas, Rodrigo},
  journal={arXiv preprint TOBEUPDATED},
  year={2024}
}
```