semvec/pypi-packages huggingface dataset:
latestearthquake-indonesia-sokawera 0.0.14
This package will get the latest earthquake from BMKG | Meteorological, Climatological, and Geophysical Agency

# Latest Indonesia Earthquake
This package will get the latest earthquake from BMKG | Meteorological, Climatological, and Geophysical Agency

## HOW IT WORK?
This package will scrape from [BMKG](https://bmkg.go.id/) to get latest quake happened in Indonesia.

This package will use BeautifulSoup4 and Requests, to produce output in the form of JSON that is ready to be used in web of mobile applications

## HOW TO USE
```
import gempaterkini

if __name__ == '__main__':
    gempa_di_indonesia = gempaterkini.GempaTerkini('https://bmkg.go.id/')
    print(f'Aplikasi utama menggunakan package yang memiliki deskripsi {gempa_di_indonesia.description}')
    gempa_di_indonesia.tampilkan_keterangan()
    gempa_di_indonesia.run()
```
# Author
Pri Anton Subardio, Prita dan Hugo AB
visuals-tokenization 0.1.2
Library to visualize different tokenization methords
Keywords: tokens, visual_tokenizations


[English](README.md) | [Español](./docs/README.es.md) | [Français](./docs/README.fr.md) | [Deutsch](./docs/README.de.md) | [中文](./docs/README.zh.md) | [Türkçe](./docs/README.tr.md) | [日本語](./docs/README.ja.md) | [한국어](./docs/README.ko.md)

## visuals_tokenization

A library to view how different tokenization performss

Developed by Marcel Tino (c) 2024

## Examples of How To Use the library 

You can use this to alter according to your requirements


```
##syntax
from visual_tokenization import view_tokenize

view_tokenize(text)
```


```python

text="Strong economic growth in the first quarter of FY23 helped India overcome the UK to become the fifth-largest economy after it recovered from the COVID-19 pandemic shock. Nominal GDP or GDP at Current Prices in the year 2023-24 is estimated at Rs. 295.36 lakh crores (US$ 3.54 trillion), against the First Revised Estimates (FRE) of GDP for the year 2022-23 of Rs. 269.50 lakh crores (US$ 3.23 trillion). The growth in nominal GDP during 2023-24 is estimated at 9.6% as compared to 14.2% in 2022-23. Strong domestic demand for consumption and investment, along with Government’s continued emphasis on capital expenditure are seen as among the key driver of the GDP in the second half of FY24. During the period April-June 2025, India’s exports stood at US$ 109.11 billion, with Engineering Goods (25.35%), Petroleum Products (18.33%) and electronic goods (7.73%) being the top three exported commodity. Rising employment and increasing private consumption, supported by rising consumer sentiment, will support GDP growth in the coming months."

from visual_tokenization import view_tokenize

view_tokenize(text)

```


+ Share visual_tokenizations on these social media platforms if you like it!
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rbc-pdf-statement-parser 0.1.1
A Python-based parser for RBC Business Account statements

# rbc-pdf-statement-parser
A Python-based parser for RBC Business Account statements

## Usage

1. Collect all PDF account statements in a single folder (not nested).
2. Install this library with `python3 -m pip install rbc_pdf_statement_parser`.
3. Run with `python3 -m rbc_pdf_statement_parser <input_directory> <output_directory>`.

## Features

* Converts each PDF to a CSV of transactions, and a JSON with metadata.
* Creates a single CSV and Parquet which inventories the metadata of each PDF file.
* Creates a single CSV and Parquet of every transaction from every PDF.