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(*This is the AppleScript component to the iTunes -> Spotify playlist sync program
Written by Sophie Li: 12/29/16*)

try
	tell application "Finder"
		delete (every item of folder (((path to home folder) as text) & "Scripts:playlist_sync:playlists") whose name ends with ".xml")
	end tell
on error errMsg number errNum
	display dialog "Error " & errNum & return & return & errMsg buttons {"Cancel"} default button 1
end try

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#!/usr/bin/env python

"""
This code generates the path required for a knight's tour 
around a chessboard with user-specified dimensions

Written by Sophie Li, 2016
http://blog.justsophie.com/algorithm-for-knights-tour-in-python/
"""
import sys

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#!/usr/bin/env python

from pocketsphinx.pocketsphinx import *
from sphinxbase.sphinxbase import *

import os
import pyaudio
import wave
import audioop
from collections import deque

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from random import *
from math import *
import random
from PIL import Image


def build_random_function(min_depth, max_depth):
    """ Builds a random function of depth at least min_depth and depth
        at most max_depth (see assignment writeup for definition of depth
        in this context)

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import random
import math
from PIL import Image

def lambda_function(min_depth, max_depth):
    prod = lambda x,y: x*y
    avg = lambda x,y: .5*(x+y)
    cos_pi = lambda x,y: math.cos(math.pi*x)
    sin_pi = lambda x,y: math.sin(math.pi*x)
    sqr = lambda x,y: x**2

srli

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

• Stores data elements based on an sequential, most commonly 0 based, index.
• Based on tuples from set theory.