semvec/pypi-packages huggingface dataset:
lc4 0.3.0
A Python implementation of ElsieFour (LC4)
License: MIT
Requires Python: >=3.5
Keywords: cryptography,lc4,elsie-four

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LC4
===

A Python library that implements ElsieFour (LC4) encryption, based on the algorithm in
(Alan Kaminsky 2017).

Features
--------

- Support for custom alphabets
- An [interactive command-line utility](https://github.com/dstein64/LC4/blob/master/documentation.md#interactive-command-line-utility)
- Optional verbose output that visually shows the steps of the algorithm

<img src="https://github.com/dstein64/LC4/blob/master/verbose.gif?raw=true" width="200"/>

Requirements
------------

LC4 supports Python 3.x.

Linux, Mac, and Windows are supported.

Other operating systems may be compatible if NumPy can be properly installed.

Installation
------------

[LC4](https://pypi.python.org/pypi/lc4) is available on PyPI, the Python Package Index.

```sh
$ pip3 install lc4
```

Documentation
-------------

See [documentation.md](https://github.com/dstein64/LC4/blob/master/documentation.md).

Example Usage
-------------

See [example.py](https://github.com/dstein64/LC4/blob/master/example.py).

Tests
-----

Tests are in [tests/](https://github.com/dstein64/LC4/blob/master/tests).

```sh
# Run tests
$ python3 -m unittest discover tests -v
```

License
-------

The code in this repository has an [MIT License](https://en.wikipedia.org/wiki/MIT_License).

See [LICENSE](https://github.com/dstein64/LC4/blob/master/LICENSE).

References
----------

Kaminsky, Alan. “ElsieFour: A Low-Tech Authenticated Encryption Algorithm
For Human-to-Human Communication,” 2017. https://eprint.iacr.org/2017/339.
txTrader 1.14.29
TxTrader Securities Trading API Controller
License: MIT

txTrader - Twisted Trading API Controller 
=========================================

txTrader aims to eliminate the complexity of managing and interacting with multiple trading system APIs, presenting a native python interface.


Features
--------
- Cross-Platform securities trading API management engine   
- Provides a trader's eye view of the interaction with the trading system API.    
- Decouples business logic from low-level implementation details of interaction with the broker's API 
- Maintains internal data structures used to verify each step of the order management / trade execution transaction.   
- Supports fault-tolerance by maintaining a continuous connection with the API in the event of application failure.
- Frees trading software design from timing and architectural constraints imposed by the API implementation.
- Built on the mature and reliable [twisted](https://twistedmatrix.com/trac/) python networking engine.
tweet-getter 1.0.0rc2
Get Tweets by IDs through Twitter's API
License: MIT
Keywords: tweets,twitter,twitter-api,tweepy,python,python-3,dataset,sentiment-analysis,emotion-detection,nlp,natural-language-processing

Get Tweets by IDs through Twitter's API.
========================================

This application creates the dataset through fetching tweets by their IDs.

There are some policies to avoid tweets content directly. Thus, there are many datasets with just tweets IDs and their labels. Hence, I've prepared an application to fetch these tweets context by their IDs using Twitter API. Consequently, you need a Twitter API Token <http://apps.twitter.com>.

In ``./dataset`` directory exists a dataset contains 1.3 million tweets in seven categories label (\ ``anger``\ , ``thankfulness``\ , ``joy``\ , ``sadness``\ , ``fear``\ , ``love``\ , ``surprise``\ ) by their IDs.

Installation
------------

.. code-block::

   pip install -r requirements.txt

Configuration
-------------

Customize the configuration file (\ ``./configuration/configs.py``\ )

Run
---

.. code-block:: python

   python -m tweet_getter.dataset_maker <start-row-optional> <end-row-optional>

----

[\ **NOTE**\ ]:

This package is compatible on *Python 3*