semvec/pypi-packages huggingface dataset:
climush 0.0.8
Tools to run the CliMush bioinformatics pipeline.
Requires Python: >=3.10

# CliMush Bioinformatics Package

## About
Bioinformatics tools to process sequencing reads of fungi from PacBio, Sanger, and Illumina sequencing technologies. This package uses a combination of open-source bioinformatics tools, all of which are referenced below.

## References
Bengtsson-Palme, J., Ryberg, M., Hartmann, M., Branco, S., Wang, Z., Godhe, A., De Wit, P., Sánchez-García, M., Ebersberger, I., de Sousa, F., Amend, A., Jumpponen, A., Unterseher, M., Kristiansson, E., Abarenkov, K., Bertrand, Y.J.K., Sanli, K., Eriksson, K.M., Vik, U., Veldre, V. and Nilsson, R.H. (2013), Improved software detection and extraction of ITS1 and ITS2 from ribosomal ITS sequences of fungi and other eukaryotes for analysis of environmental sequencing data. Methods Ecol Evol, 4: 914-919. https://doi.org/10.1111/2041-210X.12073

Martin, M. (2011). Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet.journal, 17(1), pp. 10-12. doi:https://doi.org/10.14806/ej.17.1.200

Rognes, T., Flouri, T., Nichols, B., Quince, C., & Mahé, F. (2016). VSEARCH: a versatile open source tool for metagenomics. PeerJ, 4, e2584. https://doi.org/10.7717/peerj.2584

PacBio's lima demultiplexing software: https://lima.how/
hassa 0.1.0
A short description of my package
Requires Python: >=3.6

<h1 align="center">hassa</h1>


### What is pazok?
It is a python library that contains a set of ready-made codes that enable you to create the most wonderful designs and animations on the terminal.

### Support
+ python
+ termux

### Install
Just write this code on terminal:
```shell
pip3 install hassa
```
If you want to download the developer version then write on terminal this code
```shell
pip3 install git+https://github.com/h98m/hassa
```
I don't recommend regular users to download the developer version

___

<p align="center">
<strong>For more infrmation</strong>
</p>

<p align="center">
<a href="https://github.com/h98m/hassa"><label style="display: block;"><strong>hassa</strong></label></a>
</p>

___
myne-tabular-classification-package 1.0.0
Tabular Classification Package
Requires Python: >=3.8

# **Tabular Classification Package**

## **Modelos**

Este conjunto de plugins está diseñado específicamente para facilitar la integración de modelos de Machine Learning en aplicaciones con enfoque en clasificación tabular. Los modelos incluidos son:

- **Logistic Regression:** Un modelo efectivo para abordar problemas de clasificación binaria en el contexto tabular, destacando por su simplicidad y rendimiento.
- **SVC (Support Vector Classifier):** Este clasificador basado en vectores de soporte se adapta bien a conjuntos de datos tabulares complejos, ofreciendo soluciones robustas tanto para clasificación como para regresión.
- **KNN:** Un modelo de clasificación basado en la proximidad de los datos, que se adapta bien a conjuntos de datos tabulares con una estructura clara y bien definida.
- **Random Forest:** Un modelo de clasificación basado en árboles de decisión, que destaca por su versatilidad y rendimiento en una amplia variedad de conjuntos de datos tabulares.
Flask-Mail 0.10.0
Flask extension for sending email
Requires Python: >=3.8

# Flask-Mail

Flask-Mail is an extension for [Flask] that makes it easy to send emails from
your application. It simplifies the process of integrating email functionality,
allowing you to focus on building great features for your application.

[flask]: https://flask.palletsprojects.com


## Pallets Community Ecosystem

> [!IMPORTANT]\
> This project is part of the Pallets Community Ecosystem. Pallets is the open
> source organization that maintains Flask; Pallets-Eco enables community
> maintenance of related projects. If you are interested in helping maintain
> this project, please reach out on [the Pallets Discord server][discord].

[discord]: https://discord.gg/pallets


## A Simple Example

```python
from flask import Flask
from flask_mail import Mail, Message

app = Flask(__name__)
app.config['MAIL_SERVER'] = 'your_mail_server'
app.config['MAIL_PORT'] = 587
app.config['MAIL_USE_TLS'] = True
app.config['MAIL_USE_SSL'] = False
app.config['MAIL_USERNAME'] = 'your_username'
app.config['MAIL_PASSWORD'] = 'your_password'
app.config['MAIL_DEFAULT_SENDER'] = 'your_email@example.com'

mail = Mail(app)

@app.route('/')
def send_email():
  msg = Message(
    'Hello',
    recipients=['recipient@example.com'],
    body='This is a test email sent from Flask-Mail!'
  )
  mail.send(msg)
  return 'Email sent succesfully!'
```