semvec/pypi-packages huggingface dataset:
NoelNLP 0.0.2
Swahili Stop-words and Stemmer
License: MIT
Keywords: Swahili Stop-words,NLTK,NLP

NoelNLP is a Python package for stemming swahili words, removing swahili stop-words and contains Swahili stop-words 
to enhance Natural Language Processing In Swahili language. 






Modules contained
- stopList
- stopRemover
- moseStemmer




How to use the modules

1. Getting Swahili stop-words
from NoelNLP import stopList
stop_words = stopList()
print(stop_words)



2. Removing stop-words
Development of module in process




3. Stemming Swahili words
Development of module in progress




For whom it was developed ?



NoelNLP's module was created to enhance Natural Language Processing, since it has been lagging behind.








It works for Linux operating system and Windows.
cyberspace 2022.2.12
Python library for navigating the world wide web
License: MIT
Requires Python: ~=3.6

# CyberSpace

## Wikipedia

### InfoBox

```python
from cyberspace import Wikipedia
w = Wikipedia(rate_limit_wait_seconds=0.1)
result = w.search('steve wozniak')[0]
print(result)
```
**output**
```json
{
  "title_1": "Steve Wozniak",
  "unknown_row_1": {
    "texts": [
      "Wozniak in 2018"
    ],
    "links": [
      {
        "url": "/wiki/File:Steve_Wozniak,_November_2018.jpg"
      }
    ]
  },
  "Born": {
    "texts": [
      "Stephen Gary Wozniak[1](p18) (1950-08-11) August 11, 1950 (age 68)San Jose, California, U.S."
    ],
    "links": [
      {
        "url": "#cite_note-iWoz-1",
        "text": "[1]"
      },
      {
        "title": "San Jose, California",
        "url": "/wiki/San_Jose,_California",
        "text": "San Jose"
      },
      {
        "title": "California",
        "url": "/wiki/California",
        "text": "California"
      }
    ]
  },
  ...
```