Lego2012

/* 
*   Kevin Powell
*   https://youtu.be/cCAtD_BAHNw 
*/

*, *::before, *::after {
  box-sizing: border-box;
}

* {

bashbunni

# I'll be doing another one for Linux, but this one will give you 
# a pop up notification and sound alert (using the built-in sounds for macOS)

# Requires https://github.com/caarlos0/timer to be installed

# Mac setup for pomo
alias work="timer 60m && terminal-notifier -message 'Pomodoro'\
        -title 'Work Timer is up! Take a Break 😊'\
        -appIcon '~/Pictures/pumpkin.png'\
        -sound Crystal"

bradyrx

jdavies-st

>>> from astropy.modeling import models, fitting                                
>>> import asdf                                                                 
>>> import numpy as np                                                          
>>> x = np.random.random(100)                                                   
>>> y = np.random.random(100)                                                   
>>>                                                                             
>>> mymodel = models.Polynomial1D(degree=3) 
>>> fitter = fitting.LevMarLSQFitter() 
>>> myfit = fitter(mymodel,x,y)                                                   
WARNING: Model is linear in parameters; consider using linear fitting methods. [astropy.modeling.fitting]

FedeMiorelli

# -*- coding: utf-8 -*-
"""
Created on 2019-08-22 09:37:36

@author: fmiorell
"""

#  This script registers the "turbo" colormap to matplotlib, and the reversed version as "turbo_r"
#  Reference:  https://ai.googleblog.com/2019/08/turbo-improved-rainbow-colormap-for.html

mikhailov-work

# Copyright 2019 Google LLC.
# SPDX-License-Identifier: Apache-2.0

# Author: Anton Mikhailov

turbo_colormap_data = [[0.18995,0.07176,0.23217],[0.19483,0.08339,0.26149],[0.19956,0.09498,0.29024],[0.20415,0.10652,0.31844],[0.20860,0.11802,0.34607],[0.21291,0.12947,0.37314],[0.21708,0.14087,0.39964],[0.22111,0.15223,0.42558],[0.22500,0.16354,0.45096],[0.22875,0.17481,0.47578],[0.23236,0.18603,0.50004],[0.23582,0.19720,0.52373],[0.23915,0.20833,0.54686],[0.24234,0.21941,0.56942],[0.24539,0.23044,0.59142],[0.24830,0.24143,0.61286],[0.25107,0.25237,0.63374],[0.25369,0.26327,0.65406],[0.25618,0.27412,0.67381],[0.25853,0.28492,0.69300],[0.26074,0.29568,0.71162],[0.26280,0.30639,0.72968],[0.26473,0.31706,0.74718],[0.26652,0.32768,0.76412],[0.26816,0.33825,0.78050],[0.26967,0.34878,0.79631],[0.27103,0.35926,0.81156],[0.27226,0.36970,0.82624],[0.27334,0.38008,0.84037],[0.27429,0.39043,0.85393],[0.27509,0.40072,0.86692],[0.27576,0.41097,0.87936],[0.27628,0.42118,0.89123],[0.27667,0.43134,0.90254],[0.27691,0.44145,0.913

hpfast

tommyettinger

/*  Written in 2017 by Tommy Ettinger ([email protected])

To the extent possible under law, the author has dedicated all copyright
and related and neighboring rights to this software to the public domain
worldwide. This software is distributed without any warranty.

See <http://creativecommons.org/publicdomain/zero/1.0/>. */

#include <stdint.h>

ihincks

def lighten_color(color, amount=0.5):
    """
    Lightens the given color by multiplying (1-luminosity) by the given amount.
    Input can be matplotlib color string, hex string, or RGB tuple.
    
    Examples:
    >> lighten_color('g', 0.3)
    >> lighten_color('#F034A3', 0.6)
    >> lighten_color((.3,.55,.1), 0.5)
    """

hugke729

# A function to rasterize components of a matplotlib figure while keeping
# axes, labels, etc as vector components
# https://brushingupscience.wordpress.com/2017/05/09/vector-and-raster-in-one-with-matplotlib/
from inspect import getmembers, isclass
import matplotlib
import matplotlib.pyplot as plt
import numpy as np


def rasterize_and_save(fname, rasterize_list=None, fig=None, dpi=None,