maurisvh

#!/usr/bin/python

import numpy
import pyaudio
import re
import sys

WIDTH = 79
BOOST = 1.0

yuecen

<VirtualHost *:80>
        ServerAdmin webmaster@localhost
        DocumentRoot /var/www
       <Location /elastichq>
            #Order allow,deny
            #Allow from all
                AuthUserFile /etc/apache2/.htpasswd
                AuthType Basic
                AuthName "Username and Password"
                Require valid-user

msabramo

@contextlib.contextmanager
def multiple_targets(mock_patches):
    """
    `mock_patches` is a list (or iterable) of mock.patch objects

    Example usage:

        with mock.patch.multiple_targets([
                mock.patch('os.path.exists', side_effect=mock_path_exists),
                mock.patch('subprocess.Popen'),

Battleroid

from collections import defaultdict, namedtuple
from itertools import chain

ex = namedtuple('ex', ['name', 'desc'])
items = defaultdict(lambda: defaultdict(ex))

# items is populated with a bunch of stuff like:
# [1] -> integer key, such as group 1, group 2, so on
#  |-> ex('apple', 'a fruit')
# [2]

mdwhatcott

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"strconv"
)

func main() {

amitu

There is plenty we can do with strings, we have already seen .upper() in previous chapter.

>>> message = u"hello world"
>>> message.upper()
u'HELLO WORLD'

cstrelioff

decision trees: scikit-learn + pandas

This script provides an example of learning a decision tree with scikit-learn. Pandas is used to read data and custom functions are employed to investigate the decision tree after it is learned. Grab the code and try it out.

A blog post about this code is available here, check it out!

FND

Getting Started

$ pip install falcon
$ python3 app.py

alternatively with Gunicorn (for HTTP/1.1):

$ pip install gunicorn

$ gunicorn app:app

Battleroid

[global]
  # after default setup
  socket options = IPTOS_LOWDELAY TCP_NODELAY
  security = user
  
[sample_writeable]
  path = /srv/path
  public = yes
  browseable = yes
  valid users = youruser, anotheruser, etc

waveform80

#!/usr/bin/env python

import io
import time
import picamera
import picamera.array
import numpy as np
from PIL import Image, ImageDraw