semvec/pypi-packages huggingface dataset:
downloadx 0.1.2
DownloadX CLI - Content download CLI tools
Requires Python: >=3.10
Keywords: downloadx,DownloadX

# DownloadX

Content download CLI tools

## Installation
```sh
pip install downloadx
```

## Using downloadx CLI
### Get help
```sh
downloadx -h
```

### Download YouTube content
#### Get help
```sh
downloadx youtube -h
```

#### Download single url
```sh
downloadx youtube --url https://www.youtube.com/watch?v=aWYgotleA2w
```

#### Download multiple YouTube url
create any file to store the url of the content to be downloaded.
for example, create a **urls.txt** file 
```txt
https://www.youtube.com/watch?v=aWYgotleA2w
https://www.youtube.com/watch?v=26JMKOsc8c8&t=254s
https://www.youtube.com/watch?v=Wqr-uZInkQ0
https://youtu.be/Nq4Mh_jTubA
```

run the download command by defining the `--url-file` argument
```sh
downloadx youtube --url-file urls.txt
```

#### Download audio only
By default download x will download youtube video content. if you want to download audio only, you can add the `--audio-only` argument
```sh
downloadx youtube --url https://www.youtube.com/watch?v=aWYgotleA2w --audio-only
```

#### Download file directory
By default, downloaded files will be stored in the **./outputs** directory, if you want to change the output directory you can add the `--output` argument as follows:
```sh
downloadx youtube --url-file urls.txt --output /mydir/location
```
pypisca 0.1
A simple Python package to download and extract packages from PyPi

# pypisca

#### pypisca
<br>

[![CodeQL](https://github.com/r3mkumar/pypisca/actions/workflows/github-code-scanning/codeql/badge.svg)](https://github.com/r3mkumar/pypisca/actions/workflows/github-code-scanning/codeql)
[![Upload Python Package](https://github.com/r3mkumar/pypisca/actions/workflows/python-publish.yml/badge.svg)](https://github.com/r3mkumar/pypisca/actions/workflows/python-publish.yml)
MetodosAnaliseNumerica 0.1.0
Conjunto de ferramentas para implementação de métodos elementares de análise numérica
Requires Python: >=3.9

# Métodos Numéricos Elementares

Implementação dos métodos elementares de análise numérica em python.
## Ferramentas disponíveis:

v0.1.0:
Aproximação de raízes de funções de uma variável:
- Biseção
- Posição falsa
- Ponto fixo
- Newton Raphson
- Secante

# Referência:
[Cálculo numérico: Aspectos teóricos e computacionais. 2ª Ed. Livro por: Marcia Ruggiero e Vera Lúcia Lopes](https://www.google.com/search?q=C%C3%A1lculo+Num%C3%A9rico:+Aspectos+Te%C3%B3ricos+e+Computacionais&sxsrf=APwXEdfgqS5mIzsXo3Rk-RsZe0XDspg7lA:1685770539697&source=lnms&sa=X&ved=2ahUKEwik18PRsKb_AhWsjZUCHSdsAf4Q_AUoAHoECAoQAg&biw=1292&bih=668&dpr=1)