semvec/pypi-packages huggingface dataset:
PySAN 0.1
Social sequence analysis using Python
Requires Python: >=3.6

# PySAN: social sequence analysis in Python

PySAN is a library of methods for performing basic social sequence analysis using Python.

## What it does
- basic visualisation of a sequence
- computation of sequence alphabets and ngrams
- calculations of ngram and sequence universes
- transition matrix calculations and plots
- more coming soon

## Why PySAN
PySAN was created as a hobbyist project by [Oliver Scholten](https://twitter.com/ojscholten) after reading *Social Sequence Analysis: Methods and Applications* by *Benjamin Cornwell*. It's not meant as a state of the art scientific package, but more of a reliable workhorse for preliminary investigations and small projects.
liualgotrader-amor71 0.0.1
a Pythonic all-batteries-included framework for effective algorithmic trading. The framework is intended to simplify development, testing, deployment and evaluating algo trading strategies.
Requires Python: >=3.8

# LiuAlgoTrader
[![Build Status](https://travis-ci.com/amor71/LiuAlgoTrader.svg?branch=master)](https://travis-ci.com/amor71/LiuAlgoTrader)
[![Python 3](https://pyup.io/repos/github/amor71/LiuAlgoTrader/python-3-shield.svg)](https://pyup.io/repos/github/amor71/LiuAlgoTrader/)
[![Updates](https://pyup.io/repos/github/amor71/LiuAlgoTrader/shield.svg)](https://pyup.io/repos/github/amor71/LiuAlgoTrader/)
[![Documentation Status](https://readthedocs.org/projects/liualgotrader/badge/?version=latest)](https://liualgotrader.readthedocs.io/en/latest/?badge=latest)

## Introduction

**LiuAlgoTrader** is a Pythonic all-batteries-included framework
for effective algorithmic trading. The framework is
intended to simplify development, testing,
deployment and evaluating algo trading strategies.

LiuAlgoTrader is Work-In-Progress, however it is a fully
functional framework that may be used almost out-of-the-box.
Assistance in development is highly appreciated,
as well as comments and suggestions. Please check the
Contribution section for further details.

## Documentation

Is available [here](https://liualgotrader.readthedocs.io/en/latest/).

## Development

Would you like to help me complete & evolve LiuAlgoTrader? 
Do you have a suggestion, comment, idea for improvement or 
a have a wish-list item? Don't be shy and email me at 
amichay@sgeltd.com