Gabriel-p

# Define the sampler
ptsampler = sampler.Sampler()

available_time = # some number of hours (seconds)
pos0 = # some initial random positions

# Timing params
elapsed, start_t = 0, t.time()

# Fixed number of steps

Gabriel-p

http://www.astronomy.ohio-state.edu/~khan/iraf/iraf_step_by_step_installation_64bit

# Fix fitparams issue

cd /iraf/iraf/noao/bin.linux64/
sudo rm x_photcal.e
sudo wget ftp://iraf.noao.edu/iraf/v216/support/linux/x_photcal.e
sudo chmod +x x_photcal.e 

Gabriel-p

for file in *.png; do convert $file -resize 50% rszd_$file.png; done

Gabriel-p

pdftk original.pdf output uncompressed.pdf uncompress
LANG=C sed -n '/^\/Annots/!p' uncompressed.pdf > stripped.pdf
pdftk stripped.pdf output final.pdf compress

Gabriel-p

List of resources

• http://www.jasred.com/2014/05/12/setting-up-sublime-text-3-for-python3-development/
• https://coderwall.com/p/nhq2gg/setting-up-sublimerepl-with-python3
• wuub/SublimeREPL#264

Gabriel-p

from decimal import Decimal
import numpy as np


def format_5(f):
    """
    Round floats that end with a '5' correctly, bypassing Python's issue
    with the round() function.

    See: http://codereview.stackexchange.com/q/122243/35351

Gabriel-p

import numpy as np
from random import randint
from decimal import Decimal
from math import log10, floor


def floats_5(N):
    """
    Generate random floats between a random range, where all floats
    end with a '5'.

Gabriel-p

avconv -i input.mkv -vcodec copy -acodec libmp3lame -ab 128k output.mkv

Gabriel-p

#!/bin/bash

# Origin:
# https://github.com/karlapsite/eos/blob/master/Scripts/changeColor.sh

# Theme generator (use 'Terminal' to output)
# http://ciembor.github.io/4bit/#

# Assign value if variable is unset or null.
var_run="do"

Gabriel-p

import numpy as np
from scipy.ndimage.filters import maximum_filter
from scipy.ndimage.filters import gaussian_filter
from scipy.ndimage.morphology import generate_binary_structure, binary_erosion
from scipy import stats
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import matplotlib.offsetbox as offsetbox
# from mpl_toolkits.axes_grid1 import make_axes_locatable