semvec/pypi-packages huggingface dataset:
PyFarasa 0.0.1
Farasa segmenter implemented in pure Python
Requires Python: >=3.6

# Farasa Segmenter (Non-official)

## Usage
```python
>>> from farasa import segmentation as s
>>> s.segmentLine("والمكتبات")
>>> ['و+ال+مكتب+ات']
>>> segments = s.segmentLine(" ثورة في مشهد الكعك")
>>> for tok in segments:
>>> ... print(tok)
>>> ...
>>> 'ثور+ة'
>>> 'في'
>>> 'مشهد'
>>> 'ال+كعك'
```
Farasa 0.0.1
Farasa segmenter implemented in pure Python
Requires Python: >=3.6

# Farasa Segmenter (Non-official)

## Usage
```python
>>> from farasa import segmentation as s
>>> s.segmentLine("والمكتبات")
>>> ['و+ال+مكتب+ات']
>>> segments = s.segmentLine(" ثورة في مشهد الكعك")
>>> for tok in segments:
>>> ... print(tok)
>>> ...
>>> 'ثور+ة'
>>> 'في'
>>> 'مشهد'
>>> 'ال+كعك'
```
icxpackage-data-characteristics 0.0.1
Package For Quick Data Overview For Analysis.
Keywords: python,numpy,pandas,data analysis,data science,data,seaborn,matplotlib

This package give us following results: Shape of data, Number of Rows & Columns, data information which include Column names with Non-Null Values & Dtype, Number of numerical features with there name, Number of categorical with there name, Number of null values present in data, Visualization of percentage of null values present in data & head of the data.