ibeex

A warning occurred (42 apples)
An error occurred

jaytaylor

#!/usr/bin/env python

"""
Convert camel-case to snake-case in python.

e.g.: CamelCase -> snake_case

Relevant StackOverflow question: http://stackoverflow.com/a/1176023/293064
"""

magicznyleszek

CSS Selectors Cheatsheet

Hi! If you see an error or something is missing (like :focus-within for few years :P) please let me know ❤️

Element selectors

Element -- selects all h2 elements on the page

h2 {

tgarc

ipython nbconvert --to markdown <notebook>.ipynb --config jekyll.py

dsal1951

def calc_lift(x,y,clf,bins=10):
	"""
	Takes input arrays and trained SkLearn Classifier and returns a Pandas
	DataFrame with the average lift generated by the model in each bin
	
	Parameters
	-------------------
	x:    Numpy array or Pandas Dataframe with shape = [n_samples, n_features]

	y:    A 1-d Numpy array or Pandas Series with shape = [n_samples]

benzap

#!/bin/env python
# Requires: youtube_dl module
# Requires: ffmpeg
# Usage:
#
# python youtube2mp3.py <URL>, ...
# 
# Example:
# 
# python youtube2mp3.py https://www.youtube.com/watch?v=dQw4w9WgXcQ

mda590

"""
Produces load on all available CPU cores.
Requires system environment var STRESS_MINS to be set.
"""

from multiprocessing import Pool
from multiprocessing import cpu_count
import time
import os

artificialsoph

Log into your server with ssh, something like

ssh -i "my_secret.pem" [email protected]

If it's a new server, you'll need to install a few things.

Install conda with

BIGBALLON

from PIL import Image, ImageOps


def padding(img, expected_size):
    desired_size = expected_size
    delta_width = desired_size - img.size[0]
    delta_height = desired_size - img.size[1]
    pad_width = delta_width // 2
    pad_height = delta_height // 2
    padding = (pad_width, pad_height, delta_width - pad_width, delta_height - pad_height)

jdbcode

# Source: https://stackoverflow.com/a/33597599/5391200

from pylab import *

cmap = cm.get_cmap('seismic', 5)  # matplotlib color palette name, n colors
for i in range(cmap.N):
    rgb = cmap(i)[:3]  # will return rgba, we take only first 3 so we get rgb
    print(matplotlib.colors.rgb2hex(rgb))

cmap = cm.get_cmap('plasma', 101)