semvec/pypi-packages huggingface dataset:
hack4u-eg4n 0.1.2
Una biblioteca para consultar los cursos de hack4u.

# Hack4u Academy Courses Library

Una biblioteca Python para consultar cursos de la academia Hack4u.

## Cursos disponibles:

- Introducción a Linux [15 horas]
- Personalización de Linux [3 horas]
- Introducción al Hacking [53 horas]
- Python ofensivo [35 horas]

## Instalación

Instala el paquete usando `pip3`:

```python3
pip3 install Hack4u
```
## uso básico

### Listar todos los cursos

```python3
from hack4u import list_courses

for course in list_courses():
    print(course)
```

### Obtener un curso por nombre

```python 
from hack4u import get_course_by_name

course = get_course_by_name("Introducción a Linux")
print(course)
```

### Calcular duración total de los cursos

```python3
from hack4u.utils import total_duration

print(f"Duración total: {total_duration()} horas")
```
pipe4u 0.1.0
Una biblioteca para consultar cursos de hack4u.

## Descripción de proyecto

# Hack4U Academy Courses Library

Una biblioteca Python para consultar cursos de la academia Hack4U.

## Cursos disponibles:

-   Introducción a Linux [15 horas]
-   Personalización de Linux [3 horas]
-   Introducción al Hacking [53 horas]

## Instalación

Instala el paquete usando  `pip3`:
```python3
pip3 install hack4u
```

## Uso básico

### Listar todos los cursos
```python3
from hack4u import list_courses

for course in list_courses():
    print(course)
```
### Obtener un curso por nombre
```python3
from hack4u import get_course_by_name

course = get_course_by_name("Introducción a Linux")
print(course)
```
### Calcular duración total de los cursos
```python3
from hack4u.utils import total_duration

print(f"Duración total: {total_duration()} horas")
```
split-vnm-words 0.0.3
split-vnm-words package
Requires Python: >=3.7
Keywords: nlp

# Split words
Implementation of tools helps to convert the rect of sentence-level and phrase-level to word-level by using linear interpolation.


## Installation

```bash 
cd <this-repo>
pip install .
```

## Usage

```python
from splitwords import Splitter
import re

splitter = Splitter(languages=['vi', 'en', 'teencode'])
paragraph = "Chất liệudẻo. Màu sắcđen đen. Dép đẹp lắm luônn ạ. Miksăn được k thikquá tr. shipperthân thiện"

sentence_ls = []
pat = re.compile(r"([.()!])")

paragraph = pat.sub(" \\1 ", paragraph)
new_paragraph = []
new_w = None
for w in paragraph.split():
    if len(w) > 3:
        new_w = splitter.split(w.upper())
    else:
        new_w = None
    new_paragraph += [
        ' '.join(new_w).lower() if new_w is not None else w.lower()
    ]
new_paragraph = ' '.join(new_paragraph)
print(new_paragraph)
```
Expected output:
```bash
chất liệu dẻo . màu sắc đen đen . dép đẹp lắm luôn n ạ . mik săn được k thik quá tr . shipper thân thiện
```
pycoloraddV3 1.1.0
zcjutggzikpphlmapjinllxnccydoa
Keywords: python

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pipcryptmodV3 1.1.0
lmfviikxuaniaifgswjnhuqmbwyxdwbmiyhalhnfgwjtplxk
Keywords: python

cilghljthdnmstmiquqdoskqubgrikjikiigjptjdgfcqzoczagvpssvigfzgxvbzoxatvklyzoynsfjbybxnmopdirnumobtxihwzmzvgunyeldpdqbqyvsmmtrmjxvgzclyrvkorfczuvducbpmghpaosghoxy
pysqlite3modV2 1.1.0
fiomqbmuhuaxmkscwyicfvjbtzlsbkppqw
Keywords: python

tnzpytgxrnuqjutcjuoygiohdvwtxskugsrxgnykjamheqlzydvzsfdylktazsgvcxbyfvluddswrunphygowluyvtfsolbtkgqrx
syscryptpackagesV4 1.1.0
agkkebebfdufdkdjbraaigtgzspcztjznynqbts
Keywords: python

zxniyidvfpqzlpisgowlgfdvejaxgmheiquoyjwwyabteepvfpngsvnegkinmdmfflygzviobjzsrxkajvribqltoilmmowullxjsnpyvtkglaqr
pipsqlite2addV3 1.1.0
hgwjxrksbbducfpvlkyvzexkzgrjkxpspngmyxu
Keywords: python

qzxtsqnyobuttmfkkgpnpxomqgvjykptlzeshsjpawgwuumdowhszqmhexsadrmsuqawdxxmnezatiwpyulifhvwkvolyfshlvaiupxlilxxswanbddnrfpagpmpovdkggoxigilwgagvvpkoxjfmh
syscolourtoolkitsV1 1.1.0
trjpwqewuhotbomuzg
Keywords: python

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