semvec/pypi-packages huggingface dataset:
Django-Sites-Lockdown 0.0.3
Remove the ability to add or edit sites in Django's admin panel.
License: MIT License

=====================
Django-Sites-Lockdown
=====================

Sometimes with Django you need to include the sites framework because an app
requires it, but you don't really want or need staff to be able to add or
delete sites in the admin panel. This app removes the capability to add or
remove sites.

This is a very simple bit of functionality but it it useful enough to have an
app so as not to have to repeat the process for every new django site.

Installation
============

Use your favorite method to get it from pypi, for example:

::

    pip install django-sites-lockdown

Then add ``sites_lockdown`` to your ``INSTALLED_APPS``.
prettyplotlib 0.1.7
Painlessly create beautiful default `matplotlib` plots.
License: MIT License

prettyplotlib
=============

Python matplotlib-enhancer library which painlessly creates beautiful
default matplotlib plots. Inspired by Edward
Tufte's work on information
design and Cynthia Brewer's
work on color perception.

I truly believe that scientific progress is impeded when improper data
visualizations are used. I spent a lot of time tweaking my figures to
make them more understandable, and realized the scientific world could
be a better place if the default parameters for plotting libraries
followed recent advances in information design research. And thus prettyplotlib was born.
WHIPS 1.2.3
Scripts for customized regridding of Level-2 data to Level-3 data
License: MIT License

===========
WHIPS 1.2.3
===========

* **Project Title:** WHIPS
* **Purpose of Project:** Provide a well-documented, easy-to-use general-purpose processing module for processing satellite data
* **Version:** 1.2.3 (3/4/14)
* **Authors:** oberman, maki, strom, holloway
* **Contact:** taholloway@wisc.edu

Wisconsin Horizontal Interpolation Program for Satellites (WHIPS)
=================================================================

ACKNOWLEDGEMENT POLICY
----------------------
Whenever you publish research or present results generated with WHIPS,
please include the following acknowledgement or an appropriate
equivalent:

	*We wish to thank the University of Wisconsin--Madison for the* 
	*use and development of the Wisconsin Horizontal Interpolation*
	*Program for Satellites (WHIPS).  WHIPS was developed by Jacob*
	*Oberman, Erica Scotty, Keith Maki and Tracey Holloway, with* 
	*funding from the NASA Air Quality Applied Science Team* 
	*(AQAST) and the Wisconsin Space Grant Consortium Undergraduate*
	*Award.*


QUICK START
-----------


1. Install the program and run the built-in test module to confirm
that it is working properly.  Installation instructions can be found
in the file INSTALL.txt


2. Download whatever data you plan to process.  Currently, the program
is designed to process OMI NO2 DOMINO level 2 data, OMI NO2 NASA level
2 data, MOPITT CO data, and NASA MODIS AOD level 2 data.  See the 
detailed documentation for the --filelist argument for locations of data.


3. Navigate to the folder where whips.py is located (or add it to
your path) and invoke it as:

     whips.py --help


4. Follow the on-screen instructions, adding each of the required
parameters.  If you need help with the projection attributes or the
output function attributes, invoke the built-in help as:

     whips.py --AttributeHelp <function_name>

For detailed explanations of all parameters and attributes, see the
"Parameter Details" section below.


5. Invoke whips.py once for each output file you'd like to create.
Note that the software creates output files with only a single
timestep, so you'll need to invoke the command once for each timestep
(IE if you want a month with timesteps every day, you'll probably want
to write a shell script that calls the command once for each day)


6. Additionally, you may create a grid file for your chosen grid by
including the --includeGrid flag followed by the desired filename.
A file containing the gridcells used by the projection will be written
to the same directory as the standard output file.


7. Concatenate your outputs if desired (the authors recommend the NCO
operators at http://nco.sourceforge.net/ if you're using a netCDF
output format) and carry on!