mdengler

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Given two lists of N integers (32-bit signed), determine the integers
in both lists.
"""

import os
import sys
import time

mdengler

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Given two lists of N integers (32-bit signed), determine the integers
in both lists.
"""

import os
import sys
import time

mdengler

#!/bin/sh

set -e
set -x

for dir in /home/*; do
    username=`basename "$dir"`
    users_group=`id --group $username`
    chown -R $username:$users_group $username
done

mdengler

# Install tmux on Centos release 6.5

# install deps
yum install gcc kernel-devel make ncurses-devel

# DOWNLOAD SOURCES FOR LIBEVENT AND MAKE AND INSTALL
curl -OL https://github.com/downloads/libevent/libevent/libevent-2.0.21-stable.tar.gz
tar -xvzf libevent-2.0.21-stable.tar.gz
cd libevent-2.0.21-stable
./configure --prefix=$HOME &&

mdengler

mdengler

mdengler

ּ_בּ
בּ_בּ
טּ_טּ
כּ‗כּ
לּ_לּ
מּ_מּ
סּ_סּ
תּ_תּ
٩(×̯×)۶
٩(̾●̮̮̃̾•̃̾)۶

mdengler

{
 "metadata": {
  "name": "Untitled0"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

mdengler

every_nth = [2, 3]
index = pd.Series(range(len(df.index)))  # or just df.index if it's already the 0-indexed indices
mask = reduce(np.logical_or, [index % i == 0 for i in every_nth])
df[mask.astype(bool).values]

mdengler

>>> p4 = pd.Panel4D({i: pd.Panel({j: pd.DataFrame(range(10)) for j in range(10)}) for i in range(10)})
>>> p4.iloc[:,:,0]
<class 'pandas.core.panel.Panel'>
Dimensions: 10 (items) x 10 (major_axis) x 1 (minor_axis)
Items axis: 0 to 9
Major_axis axis: 0 to 9
Minor_axis axis: 0 to 0
>>> p4.iloc[slice(None), slice(None), slice(0)]
<class 'pandas.core.panelnd.Panel4D'>
Dimensions: 10 (labels) x 10 (items) x 0 (major_axis) x 1 (minor_axis)