semvec/pypi-packages huggingface dataset:
masktools 0.0.6
Tools for making DEIMOS slit masks
License: MIT

masktools
=========

Utilities for designing DEIMOS slitmasks

Contact: <adwasser@ucsc.edu>

Website: <https://github.com/adwasser/masktools>

Required packages
-----------------
* numpy (tested on 1.11.0)
* astropy (tested on 1.1.1)
* matplotlib (tested on 1.5.0)
* astroquery (tested on 0.3.1)


masktools.superskims
--------------------

This package is for creating distributions of SKiMS (Stellar Kinematics with Multiple Slits) 
which optimally sample the integrated stellar light of a galaxy.

Authors: Nicola Pastorello and Asher Wasserman

This packages installs the `superskims` script, which creates dsim input files for a given galaxy.

> usage: superskims [-h] [-m MU_EFF] [-r RA] [-d DEC] [-q]
>                   name R_eff axial_ratio position_angle num_masks
> 
> This script generates dsim input files from the inputted galaxy parameters
> 
> positional arguments:
>   name                  Name of galaxy for output and NED lookup
>   R_eff                 Effective radius of galaxy in arcseconds
>   axial_ratio           Ratio of minor axis to major axis
>   position_angle        In degrees counter-clockwise from North
>   num_masks             Number of masks for the galaxy
> 
> optional arguments:
>   -h, --help            show this help message and exit
>   -m MU_EFF, --mu_eff MU_EFF
>                         Effective surface brightness in mag/arcsec^2, default
>                         is 22
>   -r RA, --ra RA        Right ascension, in degrees J2000. If name is findable
>                         by NED, will use that one instead.
>   -d DEC, --dec DEC     Declination, in degrees J2000. If name is findable by
>                         NED, will use that one instead.
>   -q, --quiet           If toggled, suppress console output.

For more fine-grained control, you can access the Mask and Galaxy classes through the `masktools.superskims` package while within a python environment, e.g.,::

    from masktools import superskims
    from astropy.coordinates import SkyCoord
    center = SkyCoord('12h35m37.9s +12d15m50s')
    galaxy = superskims.Galaxy(name='N4551', center=center, r_eff=16.6, 
                               axial_ratio=0.75, position_angle=70.5)
    galaxy.optimize(num_masks=4)
    for mask in galaxy.masks:
        output_file = mask.name + '_PA{:0.1f}_superskims.dsim'.format(mask.mask_pa)
        superskims.outputs.save_to_dsim(mask, galaxy.center, output_file)

masktools.stars
---------------
This package is for obtaining good guide stars and align stars for a mask.  Work in progress.
The `get_table` method in the `query_usno` model is likely to be reorganized at some point.
pyohio 0.0.3
PyOhio-related tools.
License: MIT
Keywords: pyohio

===============================
PyOhio
===============================

.. image:: https://img.shields.io/travis/tylerdave/pyohio.svg
        :target: https://travis-ci.org/tylerdave/pyohio

.. image:: https://img.shields.io/pypi/v/pyohio.svg
        :target: https://pypi.python.org/pypi/pyohio


PyOhio-related tools.

* Free software: MIT license
* Documentation: (COMING SOON!) https://pyohio.readthedocs.org.

Features
--------

* TODO




History
-------

0.0.1 (2016)
---------------------

None yet.
msg 0.7.8
msg server backend
License: MIT

# msg

[![Travis CI Status](https://travis-ci.org/lily-seabreeze/msg.svg)](https://travis-ci.org/lily-seabreeze/msg)
[![Coveralls Code Coverage](https://img.shields.io/coveralls/lily-seabreeze/msg.svg)](https://coveralls.io/github/lily-seabreeze/msg)
[![PyPi](https://img.shields.io/pypi/v/msg.svg)](https://pypi.python.org/pypi/msg)

msg is a simple, but powerful RESTful [service-oriented architecture (SOA)](https://en.wikipedia.org/wiki/Service-oriented_architecture)
messaging library.

msg focuses on the overlapping core features of any messaging system,
so you can skip to implementing the cool parts. You can use msg to
build live chat/instant messenger, a forum, a Twitter clone, a blog, etc.

msg runs in Python 2 and 3. msg can be configured to use
any database supported by SQLAlchemy.

The beauty in this project is that its focus/scope is tiny, the barebones
of any messaging system, which we perfect for you.

For the REST API, setup instructions, deployment instructions, and more,
please read [The Official msg Wiki](https://github.com/lily-seabreeze/msg/wiki)!

## Generic setup

  1. install and launch redis server
  2. Edit `msg/config.py` or override
  3. `pip install -r requirements/base.txt`
  4. `gunicorn msg.msg:app --worker-class gevent --bind localhost:5000`

If you're using a non-default database:

`python -c "import msg.msg; msg.msg.init_db()"`


## Test it out

For the demo to work you need to install the
`Allow-Control-Allow-Origin: *` plugin for Firefox,
Chrome, whatever.

  1. `cd examples`
  2. `python msgviewer.py`
  3. Checkout http://localhost:8080/ and http://localhost:8080/stream

If you're using `httpie` (`sudo apt install httpie`) here are some example commands:

  4. Create a user: `http POST localhost:5000/user username=kitten password=yarn`
  5. Create a message: `http POST localhost:5000/message text="i love kittens" --auth kitten:yarn`
django-frontend 1.8.0
Django Frontend is a collection of static files and templates to jumpstart Django front-end development.
License: MIT

===============
Django Frontend
===============

.. image:: https://travis-ci.org/jonfaustman/django-frontend.png?branch=master
    :target: https://travis-ci.org/jonfaustman/django-frontend

Django Frontend is a collection of static files and templates to jumpstart Django front-end development.

With the convenience of an installable Django application, easily add some of the most widely used static files and create custom templates built on top of one of the most well-known, widespread templates (`HTML5 Boilerplate <https://github.com/h5bp/html5-boilerplate>`_ .)

:Package: `https://pypi.python.org/pypi/django-frontend <https://pypi.python.org/pypi/django-frontend>`_
:Source: `https://github.com/jonfaustman/django-frontend <https://github.com/jonfaustman/django-frontend>`_

---------
Starring
---------
* `HTML5 Boilerplate (5.3.0) <https://github.com/h5bp/html5-boilerplate>`_
* `Modernizr (2.8.3) <https://github.com/Modernizr/Modernizr>`_
* `normalize.css (4.2.0) <https://github.com/necolas/normalize.css>`_
* `jQuery (1.12.4), (2.2.4) and (3.1.0) <https://github.com/jquery/jquery>`_
* `jQuery UI (1.11.4) <https://github.com/jquery/jquery-ui>`_
* `jQuery DataTables (1.10.12) <https://github.com/DataTables/DataTables>`_
* `jQuery Dynamic Formset (1.2.2) <https://github.com/elo80ka/django-dynamic-formset>`_
* `jQuery ScrollTo (2.1.2) <https://github.com/flesler/jquery.scrollTo>`_
* `jQuery Smooth Scroll (1.7.2) <https://github.com/kswedberg/jquery-smooth-scroll>`_
* `Twitter Bootstrap (3.3.7) <https://github.com/twbs/bootstrap>`_
* `Font Awesome (4.6.3) <https://github.com/FortAwesome/Font-Awesome>`_

-----------------
More Information
-----------------

For more information, instructions on how to get started, a changelog and a roadmap `read the documentation <https://django-frontend.readthedocs.org/>`_.