darthsuogles

# Change file names -> change spaces to under-scores
find . -name \*.ipynb -type f -exec bash -c 'mv "$@" $(echo "$@" | tr " " "_")' -- {} \;

darthsuogles

\RequirePackage{amsmath,amsfonts,amsthm,amssymb}
\RequirePackage{mathtools}
\RequirePackage{graphicx}
% http://tex.stackexchange.com/questions/229355/algorithm-algorithmic-algorithmicx-algorithm2e-algpseudocode-confused
%\RequirePackage{algorithmicx, algpseudocode}
\RequirePackage[ruled,vlined]{algorithm2e}
\RequirePackage[T1]{fontenc}
\RequirePackage[utf8]{inputenc}
\RequirePackage{mathpazo} % add possibly `sc` and `osf` options
\RequirePackage{eulervm}

darthsuogles

library(ggplot2)

                                        # First get the Iris histogram
histo_list <- lapply(names(iris)[1:4],
                     function (colname) qplot(iris[[colname]], geom = "histogram", xlab = colname))

                                        # Add two sets of random normal samples
n <- 100
histo_list[[5]] <- qplot(rnorm(n), geom='histogram', xlab='rand-norm-1')
histo_list[[6]] <- qplot(rnorm(n), geom='histogram', xlab='rand-norm-2')

darthsuogles

#include <thread>
#include <iostream>
#include <vector>
#include <string>
#include <algorithm>
#include <cassert>

using namespace std;

void foncI(int m) {

darthsuogles

from time import sleep
from random import randint
import json
import requests
import pandas as pd

def fb_graph_api_crawl(params, **kws):
    print('initial call')
    res = requests.get('https://graph.facebook.com/v2.8/search', params).json()
    _js_list = [res['data']]

darthsuogles

#!/bin/bash

echo "Install xhyve driver"
brew install docker-machine-driver-xhyve

function quit_with { >&2 echo "ERROR: $@, quit"; exit 1; }

function sudo_inst {
    local _prefix=$(brew --prefix docker-machine-driver-xhyve)
    echo "Run the following commands since xhyve requires sudo access"

darthsuogles

#!/bin/bash

lxc profile device set default eth0 parent enp2s0
lxc profile device set default eth0 nictype macvlan

# https://insights.ubuntu.com/2016/04/07/lxd-networking-lxdbr0-explained/
cat <<EOF | sudo tee /etc/network/interfaces.d/containerbr.cfg
auto containerbr
iface containerbr inet dhcp
  bridge_ports eth0

darthsuogles

""" Compute receptive field size

    http://vision.stanford.edu/teaching/cs231b_spring1415/slides/alexnet_tugce_kyunghee.pdf
"""

def receptive_field_size(layers):
    """ Find the receptive field size of a single 'neuron'
        after a series of 'conv' and 'pool' operations
    """
    if not layers: return 0

darthsuogles

install.packages(c("sp", "rgeos", "rgdal", "dplyr", "maptools", "leaflet", "scales"))

library(sp)
library(rgeos)
library(rgdal)
library(maptools)
library(dplyr)
library(leaflet)
library(scales)

darthsuogles

import.pkgs <- function (...) {
    df.pkgs.loaded <- data.frame(installed.packages())
    pkgs.loaded <- levels(df.pkgs.loaded$Package)
    pkgs.required <- list(...)
    pkgs.todo <- setdiff(pkgs.required, pkgs.loaded)
    for (pkg in pkgs.todo) {
        install.packages(pkg, repos = c("https://cloud.r-project.org"))
    }
    for (pkg in pkgs.required) {