semvec/pypi-packages huggingface dataset:
pi-network-helper 0.1
A library for interacting with Pi Network API
License: MIT

# PiNetwork Library

Kelas `PiNetwork` menyediakan antarmuka untuk berinteraksi dengan API Pi Network. Library ini memungkinkan pengguna untuk mengelola pembayaran, memeriksa saldo, dan melakukan operasi terkait lainnya dengan mudah.

## Fitur

- Menginisialisasi koneksi ke API Pi Network.
- Mendapatkan saldo akun pengguna.
- Membuat dan mengelola pembayaran.

## Instalasi

Pastikan Anda telah menginstal dependensi yang diperlukan. Anda dapat menginstal library ini menggunakan pip:

```bash 
pip install requests stellar-sdk
```


## Penggunaan

Berikut adalah contoh penggunaan kelas `PiNetwork`:

```python 
from pi_network import PiNetwork
```

## Inisialisasi kelas PiNetwork
pi_network = PiNetwork()
pdftotext 3.0.0
Simple PDF text extraction
License: MIT

# pdftotext

[![PyPI](https://img.shields.io/pypi/v/pdftotext.svg)](https://pypi.python.org/pypi/pdftotext)
[![Tests](https://github.com/jalan/pdftotext/actions/workflows/tests.yml/badge.svg?branch=master)](https://github.com/jalan/pdftotext/actions)
[![Downloads](https://pepy.tech/badge/pdftotext)](https://pepy.tech/project/pdftotext)

Simple PDF text extraction

```python
import pdftotext

# Load your PDF
with open("lorem_ipsum.pdf", "rb") as f:
    pdf = pdftotext.PDF(f)

# If it's password-protected
with open("secure.pdf", "rb") as f:
    pdf = pdftotext.PDF(f, "secret")

# How many pages?
print(len(pdf))

# Iterate over all the pages
for page in pdf:
    print(page)

# Read some individual pages
print(pdf[0])
print(pdf[1])

# Read all the text into one string
print("\n\n".join(pdf))
```


## OS Dependencies

These instructions assume you're on a recent OS. Package names may differ for an
older OS.

### Debian, Ubuntu, and friends

```
sudo apt install build-essential libpoppler-cpp-dev pkg-config python3-dev
```

### Fedora, Red Hat, and friends

```
sudo yum install gcc-c++ pkgconfig poppler-cpp-devel python3-devel
```

### macOS

```
brew install pkg-config poppler python
```

### Windows

Currently tested only when using conda:

 - Install the Microsoft Visual C++ Build Tools
 - Install poppler through conda:
   ```
   conda install -c conda-forge poppler
   ```


## Install

```
pip install pdftotext
```