ruanbekker

log-queries
log-facility=/var/log/dnsmasq.log
no-resolv
server=8.8.4.4
server=8.8.8.8
address=/router/10.1.1.1
address=/server/10.1.1.2

PetrochukM

"""
We implement additional hyperparameter optimization methods not present in
https://scikit-optimize.github.io/.

Gist: https://gist.github.com/Deepblue129/2c5fae9daf0529ed589018c6353c9f7b
"""

import math
import logging
import random

karpathy

"""
A bare bones examples of optimizing a black-box function (f) using
Natural Evolution Strategies (NES), where the parameter distribution is a 
gaussian of fixed standard deviation.
"""

import numpy as np
np.random.seed(0)

# the function we want to optimize

aiguofer

Find out how much memory each of the jupyter notebooks running on a server is using. Helpful for knowing which ones to shut down.

Original code from http://stackoverflow.com/questions/34685825/jupyter-notebook-memory-usage-for-each-notebook

You'll need to

pip install tabulate psutil pandas requests

PieterScheffers

#!/usr/bin/env bash

# install docker
# https://docs.docker.com/engine/installation/linux/ubuntulinux/

# install docker-compose
# https://docs.docker.com/compose/install/

# install letsencrypt
# https://www.digitalocean.com/community/tutorials/how-to-secure-nginx-with-let-s-encrypt-on-ubuntu-16-04

alexcpn

from collections import namedtuple
from operator import itemgetter
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import host_subplot

fig =plt.figure(figsize=(10, 8), dpi=80)
ax = plt.gca()

def parse_tree(node,prev_node=None,label='Root'):
    # Helper utility to display the KD tree graphically to understand the spatial split

abrudtkuhl

# Run me with:
#
#     $ nginx -p /path/to/this/file/ -c nginx.conf
#
# All requests are then routed to authenticated user's index, so
#
#    GET http://user:password@localhost/_search?q=*
#
# is rewritten to:
#