Sophia Li srli

## ros_simple_sample.py
#!/usr/bin/python
import rospy
from std_msgs.msg import String
from sensor_msgs.msg import Image

import cv2
import numpy as np

class FaceFinder:
    def __init__(self):

## The Technical Interview Cheat Sheet.md

      
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                srli
                / The Technical Interview Cheat Sheet.md
            
            
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              October 28, 2015 17:12
                — forked from tsiege/The Technical Interview Cheat Sheet.md
            
              
                This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.
              
          
    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.


## tour.py
#!/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, 2017
http://blog.justsophie.com/algorithm-for-knights-tour-in-python/
"""
import sys

## spi_tester.c
/******************************************************************************
*
* Copyright (C) 2009 - 2014 Xilinx, Inc.  All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:

## random_art.py
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)

## random_art_lambda.py
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
	#!/usr/bin/python
	import rospy
	from std_msgs.msg import String
	from sensor_msgs.msg import Image

	import cv2
	import numpy as np

	class FaceFinder:
	def __init__(self):
	#!/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, 2017
	http://blog.justsophie.com/algorithm-for-knights-tour-in-python/
	"""
	import sys
	/******************************************************************************
	*
	* Copyright (C) 2009 - 2014 Xilinx, Inc. All rights reserved.
	*
	* Permission is hereby granted, free of charge, to any person obtaining a copy
	* of this software and associated documentation files (the "Software"), to deal
	* in the Software without restriction, including without limitation the rights
	* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	* copies of the Software, and to permit persons to whom the Software is
	* furnished to do so, subject to the following conditions:
	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)
	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