semvec/pypi-packages huggingface dataset:
vdu-nlp-services 0.0.27
Python wrapper for VDU NLP online services
Requires Python: >=2.7

[![Build Status](https://travis-ci.org/aleksas/vdu-nlp-services.svg?branch=master)](https://travis-ci.org/aleksas/vdu-nlp-services)
[![PyPi version](https://pypip.in/v/vdu-nlp-services/badge.png)](https://pypi.org/project/vdu-nlp-services/)

# vdu-nlp-services

## Function Reference

### Reference

#### analyze_text

Perform morphological analysis

```python
from vdu_nlp_services import analyze_text

res = analyze_text(u'Laba diena!', include_lemmas=True)
print (res)
```
```sh
([{u'lemma': u'laba diena', u'word': u'Laba diena', u'type': u'jst.'}, {u'sep': u'!'}, {u'p': None}], [{u'lemma': u'laba diena', 'span': (0, 4), u'word': u'Laba', u'type': u'jst.'}, {'other': u' ', 'span': (4, 5)}, {u'lemma': u'laba diena', 'span': (5, 10), u'word': u'diena', u'type': u'jst.'}, {'other': u'!', 'span': (10, 11)}])
```
#### stress_text

Accentuate text

```python
from vdu_nlp_services import stress_text

res = stress_text(u'Laba diena!')
print (res)
```
```sh
'Laba` diena`!'
```
#### stress_word

Accentuate word

```python
from vdu_nlp_services import stress_word

res = stress_word(u'Laba')
for stressed_word, tags in res:
   print(stressed_word, list(tags))
```
```sh
Laba` ['dktv.', 'mot.gim.', 'vnsk.', 'Įn.']
La~ba ['dktv.', 'mot.gim.', 'vnsk.', 'Š.']
Laba` ['bdvr.', 'mot.gim.', 'vnsk.', 'V.', 'neįvardž.']
Laba` ['bdvr.', 'mot.gim.', 'vnsk.', 'Įn.', 'neįvardž.']
La~ba ['bdvr.', 'mot.gim.', 'vnsk.', 'Š.', 'neįvardž.']
La~ba ['bdvr.', 'bevrd.gim.', 'neįvardž.']
```

## Install

### PyPi
```bash
pip install vdu-nlp-services
```
### Git
```bash
pip install git+https://github.com/aleksas/vdu-nlp-services.git
```
nse50bse30 0.0.3
Python Package to scrap NSE 50 and BSE 30 tickers

# Nifty50BSE30
This Python package helps developers scrap NSE 50 and BSE 30 tickers

## Quick Start
Use the following command for installation
<br />Python2:
```
pip install nse50bse30
```
Python3:
```
pip3 install nse50bse30
```

## Usage
```
import nse50bse30
nse50 = nse50bse30.getNSE50()
bse30 = nse50bse30.getBSE30()
```

<br />Have much more planned in future