semvec/pypi-packages huggingface dataset:
SCORED 0.1.0
A package for single-cell RNA sequencing data imputation using SimRank and Random Walk with Restart.
Requires Python: >=3.8

# SCORED

SCORED is a Python package for single-cell RNA sequencing data imputation using SimRank and Random Walk with Restart algorithms. It processes AnnData objects, performs quality control, builds graphs, and imputes missing data.

## Installation

```bash
pip install SCORED
```

## Usage

```python
import scanpy as sc
import torch
from scored import SCORED

# Load your AnnData object
adata = sc.read_h5ad("your_data.h5ad")

# Run SCORED
imputed_matrix = SCORED(
    adata_tr=adata,
    condition_key="condition",
    device="cuda" if torch.cuda.is_available() else "cpu"
)
```

## Requirements

- Python >= 3.8
- scikit-learn >= 1.0
- scipy >= 1.7
- matplotlib >= 3.4
- seaborn >= 0.11
- tqdm >= 4.0
- networkx >= 2.6
- numpy >= 1.20
- torch >= 1.9
- scanpy >= 1.8
- pandas >= 1.3

## License

MIT License
qarsmac 0.0.3
Cliente Python da API de Qualidade do Ar da SMAC.
Requires Python: >=3.9
Keywords: air-quality, api-client

# qarsmac

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![pypi](https://img.shields.io/pypi/v/qarsmac.svg)](https://pypi.org/project/qarsmac)
[![versions](https://img.shields.io/pypi/pyversions/qarsmac.svg)](https://pypi.org/project/qarsmac)

Cliente Python da API de Qualidade do Ar da SMAC.

## Uso

```python
from qarsmac.requestor import BoletimRequestor

requestor = BoletimRequestor("https://qualidadearsmac.azurewebsites.net/api")
boletim = requestor.request()
print(boletim)
```
pdf-reports 0.3.9
Create nice-looking PDF reports from HTML content.
Keywords: PDF, report, web, jinja, weasyprint

PDF Reports
===========

*PDF Reports* (complete documentation `here <https://edinburgh-genome-foundry.github.io/pdf_reports/>`_) is a Python library to create nice-looking PDF reports from HTML or `Pug <https://pugjs.org>`_ templates. It features modern-looking components (via the `Semantic UI <https://semantic-ui.com/>`_ framework) and provides routines to embed tables or plots in the documents.


Example of use
--------------

Your Pug template file ``template.pug`` may look like this (see a `full example <https://github.com/Edinburgh-Genome-Foundry/pdf_reports/blob/master/examples/example_template.pug>`_):

.. code:: pug

    #sidebar I am the text in the sidebar.

    h1 {{ title }}

    .ui.piled.segment
      p Oh hi there ! I am some text in a cool box.

Your Python code will be as follows:

.. code:: python

    from pdf_reports import pug_to_html, write_report
    html = pug_to_html("template.pug", title="My report")
    write_report(html, "example.pdf")


And your final result may look like this (`PDF file <https://github.com/Edinburgh-Genome-Foundry/pdf_reports/raw/master/examples/example.pdf>`_):

.. image:: https://github.com/Edinburgh-Genome-Foundry/pdf_reports/raw/master/screenshot.png

Infos
-----

**PIP installation:**

.. code:: bash

  pip install pdf_reports

**Web documentation:** `<https://edinburgh-genome-foundry.github.io/pdf_reports/>`_

**Github Page:** `<https://github.com/Edinburgh-Genome-Foundry/pdf_reports>`_

**Live demo:** `<http://cuba.genomefoundry.org/sculpt_a_sequence>`_

**License:** MIT

Copyright 2018 Edinburgh Genome Foundry, University of Edinburgh
juliabridge 0.2.1
A Python package for communicating with Julia.
Requires Python: >=3.12

# JuliaBridge

A Python package for communication with Julia.
---
一个用于与 Julia 进行通信的 Python 包。


# How to use

For detailed usage instructions, please visit the [GitHub Repository](https://github.com/barkure/JuliaBridge#readme).
---
有关详细使用说明，请访问 [GitHub 仓库](https://github.com/barkure/JuliaBridge#readme)。