semvec/pypi-packages huggingface dataset:
newz 1.0.2
Local news delivered straight to your terminal
License: MIT

# Newz
Local news straight to your terminal. 

![](newz1.gif)

Newz utilizes [wego](https://github.com/schachmat/wego) for weather visualizations, and Yahoo for financial and headline data.

## Installation
`pip install newz`

## Dependencies
  * Python 2.7 or later
  * utf-8 terminal with 256 colors
  * An API key with [openweathermap](https://home.openweathermap.org/users/sign_up).

## Usage
To run **newz**, simply execute `python3 -m newz` or `newz` in your terminal/command line tool.

In order to accurately pull weather information, after signing up with [openweathermap](https://home.openweathermap.org/users/sign_up), you can either create an environment variable,
replace the WEATHER_KEY value in the newzconfig.py file.

Newz uses the geocoder library to obtain your geolocation to provide the data. If you wish to obtain different location's news, just apply the `-c` or `--city` flags along with the name of the city.

![](newz2.gif)

Under the Headlines section you can click on the link (CTRL + Click depending on the terminal) which will take you to the news article in your default browser.

## Contributing

1. Fork it (<https://github.com/msleone90/newz/fork>)
2. Create your feature branch (`git checkout -b feature/fooBar`)
3. Commit your changes (`git commit -am 'Add some fooBar'`)
4. Push to the branch (`git push origin feature/fooBar`)
5. Create a new Pull Request

## License

Â© Michael S Leone

Licensed under the [MIT License](../LICENSE)
fastjmd95 0.2.1
Numba version of Jackett & McDougall (1995) ocean equation of state.
License: MIT
Requires Python: >=3.6

fastjmd95: Numba implementation of Jackett & McDougall (1995) ocean equation of state
=====================================================================================

|Build Status| |license|

This package provides a Numba_ implementation the JMD95 equation of state.

Usage
-----

fastjmd95 provides three ufuncs:

.. code-block:: python

   >>> from fastjmd95 import rho, drhods, drhodt
   >>> rho(35.5, 3., 3000.)
   1041.83267
   >>> drhodt(35.5, 3., 3000.)
   -0.17244
   >>> drhods(35.5, 3., 3000.)
   0.77481

Tutorial
--------

Tutorial notebook located at `doc/fastjmd95_tutorial.ipynb <https://nbviewer.jupyter.org/github/xgcm/fastjmd95/blob/master/doc/fastjmd95_tutorial.ipynb>`_.

.. _Pangeo: http://pangeo-data.github.io
.. _Numba: http://numba.pydata.org/

.. |conda forge| image:: https://anaconda.org/conda-forge/fastjmd95/badges/version.svg
   :target: https://anaconda.org/conda-forge/fastjmd95
.. |Build Status| image:: https://travis-ci.org/xgcm/fastjmd95.svg?branch=master
   :target: https://travis-ci.org/xgcm/fastjmd95
   :alt: travis-ci build status
.. |codecov| image:: https://codecov.io/github/xgcm/fastjmd95/coverage.svg?branch=master
   :target: https://codecov.io/github/xgcm/fastjmd95?branch=master
   :alt: code coverage
.. |pypi| image:: https://badge.fury.io/py/fastjmd95.svg
   :target: https://badge.fury.io/py/fastjmd95
   :alt: pypi package
.. |license| image:: https://img.shields.io/github/license/mashape/apistatus.svg
   :target: https://github.com/xgcm/fastjmd95
   :alt: license