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! Copyright (c) 2013,  Los Alamos National Security, LLC (LANS)
! and the University Corporation for Atmospheric Research (UCAR).
!
! Unless noted otherwise source code is licensed under the BSD license.
! Additional copyright and license information can be found in the LICENSE file
! distributed with this code, or at http://mpas-dev.github.com/license.html
!
module init_atm_core

   use mpas_stack 

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def sphere_distance(lat1, lon1, lat2, lon2, radius, **kwargs):
    """ Calculate the sphere distance between point1 and point2. 

    lat1 - Float - Radians - -pi:pi
    lon1 - Float - Radians - 0:2*pi
    lat2 - Float - Radians - -pi:pi
    lon2 - Float - Radians - 0:2*pi
    radius - Radius of the earth (or sphere) - Units can be ignored

    """ 

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from __future__ import absolute_import, division, print_function # Python 3 Support
import sys

from netCDF4 import Dataset
import numpy as np

if len(sys.argv) != 3: # Argument checking
    print("Usage: python cellsOnCell.py meshFileName cell")
    print("Please supply a mesh file and a cell number of your choosing")
    sys.exit(-1)

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from __future__ import absolute_import, division, print_function

import sys
import argparse
import numpy as np

from netCDF4 import Dataset

from mpas_py.mesh import MeshHandler
from mpas_py.soundings import read_soundings

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Python3 Venv Command Line Example

First, check to see where our current python installation is located:

> which python # And
> which python3

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# Just an example it wont outside of the application is was built in
# Uses Scipy.io netcdf and 'snetCDF 4 Dataset
from scipy.io import netcdf
from netCDF4 import Dataset


def navy_hycom_download(level='top'):
      from pl_plot.plotter import HycomPlotter
      print "NAVY HYCOM DOWNLOAD"

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import matplotlib
matplotlib.use('AGG')

import os
import numpy


import xarray as xar
from matplotlib import pyplot as plt
from matplotlib import colors

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# Calculates the ingridents for each part based on the number gallons
# for the total batch. 110% because I was lazy!

import argparse

parser = argparse.ArgumentParser(description="Easy way to cacluate how much\
    'things you need per quanity of kombuhca")

parser.add_argument('-b', '--batch', type=float,
                    help='Float - Gallons of desired batch size')

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Goal       -> ClockNoise
ClockNoise -> ClockNoise tick tock
            | tick tock
            
            

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#!/usr/bin/env python
import os
import sys , traceback
import argparse
import time

import SharkEyesCore.startup as startup
from django.core.management import execute_from_command_line

from django.conf import settings