JonnoFTW

/**
 * Created by mack0242 on 6/04/17.
 */
var TrieNode = function (parent, value) {
    this.parent = parent;
    this.children = new Array(26);
    this.isWord = false;
    if (parent !== undefined) {
        parent.children[value.charCodeAt(0) - 97] = this;
    }

JonnoFTW

import re
import praw
import prawcore.exceptions
from collections import defaultdict
from itertools import product
from tqdm import tqdm
from pymongo import MongoClient

client = praw.Reddit(client_id='client id', client_secret='client secret', user_agent='gender scraper')
subs = 'askmen','askwomen'

JonnoFTW

#!/usr/bin/env python
import curses
import subprocess
import sys
from datetime import datetime
AUTHOR = "Jonathan Mackenzie"
NAME = "pqstat"
def get_qstat(args):
    return subprocess.Popen(['qstat']+args,stdout=subprocess.PIPE).communicate()[0]
def main(scr):

JonnoFTW

#!/usr/bin/env python
"""
pip install -U pygame numpy tensorflow keras opencv-python
"""
from datetime import datetime

import pygame
import os
import sys
import cv2

JonnoFTW

JonnoFTW

from pydotplus import graphviz as pydot


class TrieNode:
    __slots__ = ('text', 'children', 'is_end')

    def __init__(self, letter, is_end=False):
        self.text = letter
        self.children = {}
        self.is_end = is_end

JonnoFTW

Rows: 11, cols=1 44 Bytes
	CL Took: 0:00:00.003606
	NP Took:  0:00:00.000021
Rows: 10, cols=3 120 Bytes
	CL Took: 0:00:00.000312
	NP Took:  0:00:00.000012
Rows: 10000, cols=1000 40.0 MB
	CL Took: 0:00:00.005533
	NP Took:  0:00:00.017710
Rows: 50000, cols=1200 240.0 MB

JonnoFTW

__kernel void shuffle_data(
    const __global float* data, // array to be shuffled
    const __global uint2* swaps  // array of swaps to perform
) {
    const int gid = get_global_id(0);
    const int field = get_global_id(1);
    const int num_fields = get_global_size(1);
    // swap row r1 with r2 from swaps[gid]
    uint2 swap = swaps[gid];
    const int r1 = num_fields* swap.x + field;

JonnoFTW

#!/usr/bin/env python
import os
import json
import time
import pandas as pd
import requests
from mlxtend.preprocessing import TransactionEncoder
from mlxtend.frequent_patterns import apriori

JonnoFTW

1. Make a folder for the app
2. Put app.py in the folder
3. Make a static folder and put index.html in it
4. Should look like:

lamp/
  app.py
  static/
    index.html