semvec/pypi-packages huggingface dataset:
PyPDF4 1.27.0
PDF toolkit

A Pure-Python library built as a PDF toolkit.  It is capable of:

- extracting document information (title, author, ...)
- splitting documents page by page
- merging documents page by page
- cropping pages
- merging multiple pages into a single page
- encrypting and decrypting PDF files
- and more!

By being Pure-Python, it should run on any Python platform without any
dependencies on external libraries.  It can also work entirely on StringIO
objects rather than file streams, allowing for PDF manipulation in memory.
It is therefore a useful tool for websites that manage or manipulate PDFs.
qiwi-api 1.1
Qiwi api wrapper

qiwi_api [![Travis](https://img.shields.io/travis/Helow19274/qiwi_api.svg)](https://travis-ci.org/Helow19274/qiwi_api/) [![Docs](https://img.shields.io/readthedocs/qiwi_api.svg)](https://qiwi-api.readthedocs.io/ru/latest/) [![PyPI](https://img.shields.io/pypi/v/qiwi_api.svg)](https://pypi.org/project/qiwi-api/) ![Python Version](https://img.shields.io/pypi/pyversions/qiwi_api.svg)
=====

qiwi_api - модуль для взаимодействия с Qiwi API

* [Документация](https://qiwi-api.readthedocs.io/ru/latest/)
* [Документация на сайте Qiwi](https://developer.qiwi.com/ru/qiwi-wallet-personal/)

Установка
========

```bash
$ pip install --upgrade qiwi_api
```

Пример
======

```python
from qiwi_api import Qiwi

api = Qiwi('your_token_here')
print(api.balance(only_balance=True))
```
scikit-discovery 0.9.18
A package for Computer-Aided Discovery
Requires Python: >=3.4

<p align="left">
  <img alt="Scikit Discovery" src="https://github.com/MITHaystack/scikit-discovery/raw/master/skdiscovery/docs/images/skdiscovery_logo360x100.png"/>
</p>

- Explore scientific data with a set of tools for human-guided or automated discovery
- Design & configure data processing pipelines
- Define the parameter ranges for your algorithms, available algorithmic choices, and the framework will generate pipeline instances for you 
- Use automatically perturbed data processing pipelines to create different data products.
- Easy to use with [scikit-dataaccess](https://github.com/MITHaystack/scikit-dataaccess) for integration of a variety of scientific data sets


<p align="center">
  <img alt="Scikit Discovery Overview" src="https://github.com/MITHaystack/scikit-discovery/raw/master/skdiscovery/docs/images/skdiscovery_overviewdiag.png"/>
</p>

### Install
```
pip install scikit-discovery
```

### Documentation

See <https://github.com/MITHaystack/scikit-discovery/tree/master/skdiscovery/docs>

### Contributors

Project lead: [Victor Pankratius (MIT)](http://www.victorpankratius.com)<br>
Contributors: Cody M. Rude, Justin D. Li, David M. Blair, Michael G. Gowanlock, Evan Wojciechowski, Victor Pankratius

### Acknowledgements

We acknowledge support from NASA AIST14-NNX15AG84G, NASA AIST16-80NSSC17K0125, NSF ACI-1442997, NSF AGS-1343967, and Amazon AWS computing access support.

## Examples

Example code with complete science case studies are available as Jupyter Notebooks at: 

[/MITHaystack/science-casestudies](https://github.com/MITHaystack/science-casestudies)
gis_csdt 1.3.2
Mapping software to encourage critical thinking

gis_csdt
========
[![Build Status](https://travis-ci.org/CSDTs/SGIS-backend.svg?branch=master)](https://travis-ci.org/CSDTs/SGIS-backend)[![Coverage Status](https://coveralls.io/repos/github/CSDTs/SGIS-backend/badge.svg?branch=master)](https://coveralls.io/github/CSDTs/SGIS-backend?branch=master) [![Updates](https://pyup.io/repos/github/CSDTs/SGIS-backend/shield.svg)](https://pyup.io/repos/github/CSDTs/SGIS-backend/)

The API backend of SGIS for the 3Helix program.

The frontend can be found [here](https://github.com/gouravjeet/SGIS-2.0).

##Contents
* [Fall 2014 Independent Study Syllabus](doc/syllabus.md)
* [Installation](doc/installation.md)
* [API Usage](doc/usage.md)
* [Adding a Dataset](doc/new-dataset.md)