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import argparse

if __name__ == "__main__":
    parser = argparse.ArgumentParser(description='Easy way to produce plots of\
    3D vector fields in python.')
    parser.add_argument('task',
                        help='task name',
                        type=str)
    parser.add_argument("-f", '--fileNameTag',
                        help='Appends it to the end of a filename so it can be unique when you plot it',

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# Generates a random string of length k to std out

import argparse
import string
import random

def id_generator(size, chars=string.ascii_uppercase \
                                + string.digits \
                                + string.ascii_lowercase):
    return ''.join(random.choice(chars) for _ in range(size))

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import os
import argparse

def tobits(s):
    result = []
    for c in s:
        bits = bin(ord(c))[2:]
        bits = '00000000'[len(bits):] + bits
        result.extend([int(b) for b in bits])
    return result

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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

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

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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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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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# 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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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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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