semvec/pypi-packages huggingface dataset:
onepara 0.1.2
One-Parameter Correlation Matrix
License: MIT
Requires Python: >=3.6

[![Build Status](https://travis-ci.org/kmedian/onepara.svg?branch=master)](https://travis-ci.org/kmedian/onepara)
[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/kmedian/onepara/master?urlpath=lab)

# onepara
One-Parameter Correlation Matrix.


## Table of Contents
* [Installation](#installation)
* [Usage](#usage)
* [Commands](#commands)
* [Support](#support)
* [Contributing](#contributing)


## Installation
The `onepara` [git repo](http://github.com/kmedian/onepara) is available as [PyPi package](https://pypi.org/project/onepara)

```
pip install onepara
```


## Usage
Check the [examples](https://github.com/kmedian/onepara/tree/master/examples) folder for notebooks.


## Commands
* Check syntax: `flake8 --ignore=F401`
* Run Unit Tests: `python -W ignore -m unittest discover`
* Remove `.pyc` files: `find . -type f -name "*.pyc" | xargs rm`
* Remove `__pycache__` folders: `find . -type d -name "__pycache__" | xargs rm -rf`
* Upload to PyPi: `python setup.py sdist upload -r pypi`
* Upload to PyPi with twine: `python setup.py sdist && twine upload -r pypi dist/*`


## Support
Please [open an issue](https://github.com/kmedian/onepara/issues/new) for support.


## Contributing
Please contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/kmedian/onepara/compare/).
seashells-sc 0.1.6
The official client for Seashells.io
License: MIT
Keywords: shell

Seashells
=========

The official client for `Seashells.io <https://seashells.io>`__.

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

Seashells is compatible with both Python 2 and Python 3. It's recommended that
you use Python 3.

You can install Seashells from
`PyPI <https://pypi.org/project/seashells/>`__:

.. code:: bash

    pip install seashells

Usage
-----

See the instructions on `Seashells.io <https://seashells.io>`__ for more
information about Seashells. For more information on how to use the command
line tool itself, see the built-in help:

.. code:: bash

    seashells --help

Tips and Tricks
~~~~~~~~~~~~~~~

- To easily pipe both stdout and stderr to seashells, you can set up a shell
  function (`source
  <https://github.com/anishathalye/seashells/issues/14#issuecomment-409167113>`__):

  .. code:: bash

     function sea() {
         $* 2>&1 | seashells
     }

Other Clients
-------------

- `roccomuso/seashells <https://github.com/roccomuso/seashells>`__ (Node.js)
- `hans-strudle/seashells <https://github.com/hans-strudle/seashells>`__ (Go)

Note: other clients are not officially supported.

Packaging
---------

1. Update version information.

2. Build the package using ``python3 setup.py sdist bdist_wheel``.

3. Sign and upload the package using ``twine upload -s dist/*``.

License
-------

Copyright (c) 2018 Anish Athalye. Released under the MIT License. See
`LICENSE.rst <LICENSE.rst>`__ for details.
illmat 0.1.1
Generate a DxD ill-conditioned correlation matrix with random coefficients
License: MIT
Requires Python: >=3.6

[![Build Status](https://travis-ci.org/kmedian/illmat.svg?branch=master)](https://travis-ci.org/kmedian/illmat)
[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/kmedian/illmat/master?urlpath=lab)

# illmat
Generate a `<D x D>` ill-conditioned correlation matrix with random coefficients



## Installation
The `illmat` [git repo](http://github.com/kmedian/illmat) is available as [PyPi package](https://pypi.org/project/illmat)

```
pip install illmat
```


## Usage
Check the [example](https://github.com/kmedian/illmat/blob/master/examples/ill-conditioned%20correlation%20matrix.ipynb) folder for notebooks.


## Commands
* Check syntax: `flake8 --ignore=F401`
* Remove `.pyc` files: `find . -type f -name "*.pyc" | xargs rm`
* Remove `__pycache__` folders: `find . -type d -name "__pycache__" | xargs rm -rf`
* Upload to PyPi with twine: `python setup.py sdist && twine upload -r pypi dist/*`


## Support
Please [open an issue](https://github.com/kmedian/illmat/issues/new) for support.


## Contributing
Please contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/kmedian/illmat/compare/).