semvec/pypi-packages huggingface dataset:
gains 0.2.2.dev3
Genetic Algorithm for Identifying Novel Structures (GAINS)
License: MIT



GAINS
========
GAINS - Genetic Algorithm for Identifying Novel Structures - is a project
that enables molecular design and computational screening of
small molecules--in particular solvents--for energy storage applications.

Built on the molecular functionality of RDKit, future versions of GAINS
should be employable across a spectrum of small-molecule design problems.

To get started using this software, please go to the repository README_.

.. _README: https://github.com/wesleybeckner/gains/blob/master/README.md

License
=======
``gains`` is licensed under the terms of the MIT license. See the file
"LICENSE" for information on the history of this software, terms & conditions
for usage, and a DISCLAIMER OF ALL WARRANTIES.

All trademarks referenced herein are property of their respective holders.

Copyright (c) 2017--, Wesley Beckner, The University of Washington.
Adafruit-SSD1306 1.6.2
Python library to use SSD1306-based 128x64 or 128x32 pixel OLED displays with a Raspberry Pi or Beaglebone Black.
License: MIT

Adafruit Python SSD1306
=======================

Python library to use SSD1306-based 128x64 or 128x32 pixel OLED displays with a Raspberry Pi or Beaglebone Black.

Designed specifically to work with the Adafruit SSD1306-based OLED displays ----> https://www.adafruit.com/categories/98

Adafruit invests time and resources providing this open source code, please support Adafruit and open-source hardware by purchasing products from Adafruit!

Installing
----------

```
sudo python -m pip install --upgrade pip setuptools wheel
sudo pip install Adafruit-SSD1306
```

Or alternatively:

```
sudo python -m pip install --upgrade pip setuptools wheel
git clone https://github.com/adafruit/Adafruit_Python_SSD1306.git
cd Adafruit_Python_SSD1306
sudo python setup.py install
```

Copying
-------

Written by Tony DiCola for Adafruit Industries.
MIT license, all text above must be included in any redistribution
eggcellent 0.1.1
Egg shapes.
License: MIT
Keywords: egg

# eggcellent

Make excellent egg shapes.

# Install

It can be installed from command - line using
[pip](https://pypi.org/project/pip/):

```bash
pip install eggcellent
```

# Usage

## Use a default egg:

```python
from eggcellent import egg
import matplotlib.pyplot as plt
plt.scatter([0, 1], [0, 1], marker=None, verts=egg, s=200)
```

![example1.png](eggs.png)

## Make your own egg

```python
from eggcellent import make_egg
egg = make_egg(a=2, b=3)
```

The egg equation is:

r = cos(2θ) + a \* cos(θ) + b
observable-collections 0.1.2
Rx based collections that supports change notification
License: MIT

# Observable Collections
A Rx based collections implementation in Python

[![Build Status](https://travis-ci.org/shyam-s00/ObservableCollections.svg?branch=master)](https://travis-ci.org/shyam-s00/ObservableCollections)
[![Coveralls github](https://coveralls.io/repos/github/shyam-s00/ObservableCollections/badge.svg)](https://coveralls.io/github/shyam-s00/ObservableCollections?branch=master)

It contains following Observable collections and internally depends on [RxPy](https://github.com/ReactiveX/RxPY)

    * ObservableList
    * ObservableDict
    * ObservableSet

These collections expose ```when_collection_changes()``` method that creates an Observable which can be subscribed. 

Any changes to the ```ObservableList / ObservableSet / ObservableDict``` that modifies the collection, publishes the event either via on_next or error via on_error

**Installation**

#####*Requires Python 3.5+*

```commandline
pip install observable-collections
```

**Example**

```python
from reactive.ObservableList import ObservableList

ol = ObservableList([1, 2, 3, 4])
ol.when_collection_changes() \
    .map(lambda x: x.Items) \
    .subscribe(print, print)

ol.append(5)

```