semvec/pypi-packages huggingface dataset:
BioCantor 0.4.5
Flexible feature arithmetic, seamlessly integrated with nested coordinate systems.

# BioCantor

## Overview

Flexible feature arithmetic, seamlessly integrated with nested coordinate systems.

## What does the name BioCantor mean?

[Georg Cantor](https://en.wikipedia.org/wiki/Georg_Cantor) (1845-1918) 
was a German mathematician who created set theory. BioCantor uses set 
theoretic concepts, though Cantor's work extended into much more 
interesting realms than are used here.

Cantor devised the elegant [diagonal argument](https://en.wikipedia.org/wiki/Cantor%27s_diagonal_argument) 
proving that there is more than one level of infinity.

Also check out the [Cantor set](https://en.wikipedia.org/wiki/Cantor_set)
, which could exist as a genomic feature in a universe where the 
building blocks of genetic material are uncountably infinite.

## Installation

BioCantor can be added to a Python environment as follows.

From PyPi:

```
pip install BioCantor
```

Latest release from GitHub:

```
pip install git+https://github.com/InscriptaLabs/BioCantor
```

From source code:

```
cd BioCantor
pip install .
```
## Documentation

Full package documentation is available on [Read The Docs](https://biocantor.readthedocs.io/en/latest/).

#### To build documentation HTML pages locally

Install as above but with `libraries` and `docs` extras:

```
pip install -e .[libraries,docs]
```

You will also need to have [pandoc](https://pandoc.org/) installed. This can
be installed using `conda` with

```
conda install -y pandoc
```

You can now build the docs with:

```
cd docs
make html
```

## Support

Bug reports, support requests and feature requests should be submitted 
as issues on GitHub. We will make a reasonable effort to address issues 
dependent on available resources.

## Contributing

Users are invited to submit pull requests. Maintainers reserve the right
to close PRs if the requested change is deemed inappropriate for the 
library or if resources are not available to sufficiently review the PR.

Submissions should follow the following guidelines:

- Code must adhere to [PEP 8](https://www.python.org/dev/peps/pep-0008/) 
(as enforced by [Flake8](https://flake8.pycqa.org/en/latest/)) and 
[Black](https://pypi.org/project/black/) style conventions with maximum 
line length of 120.
- New public elements must be documented with [NumPy style docstrings](https://numpydoc.readthedocs.io/en/latest/format.html)
- Comprehensive unit tests must be added for new features.
- Full test suite must pass. It is recommended that you run the full test suite locally before pushing to GitHub.
yliveticker 0.3.0
Live market data from Yahoo! Finance websocket
Requires Python: !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*

![Python package](https://github.com/yahoofinancelive/yliveticker/workflows/Python%20package/badge.svg)
![Upload Python Package](https://github.com/yahoofinancelive/yliveticker/workflows/Upload%20Python%20Package/badge.svg)
# Live from Yahoo Finance

Get market data from Yahoo Finance websocket in near-real time.
wss://streamer.finance.yahoo.com/

## Setup
```bash
pip install yliveticker
```
[pypi package home](https://pypi.org/project/yliveticker/)

## Example

The following snippet prints out live metrics in console output. You can follow other symbols by providing them in `ticker_names`.

```python
import yliveticker


# this function is called on each ticker update
def on_new_msg(ws, msg):
    print(msg)


yliveticker.YLiveTicker(on_ticker=on_new_msg, ticker_names=[
    "BTC=X", "^GSPC", "^DJI", "^IXIC", "^RUT", "CL=F", "GC=F", "SI=F", "EURUSD=X", "^TNX", "^VIX", "GBPUSD=X", "JPY=X", "BTC-USD", "^CMC200", "^FTSE", "^N225"])
```

**Note**
*Check trading hours for your market if you don't observe any live metrics*