iMel408

def buy_low_sell_high(lst):
    """Figure out the optimal buy and sell point for a given stock, given its prices yesterday.
    No "shorting"—you need to buy before you can sell. """

    min_buy = lst[0]
    mx_gain = 0

    for i in range(len(lst)):
        if lst[i] - min_buy >= mx_gain:

iMel408

'''Fun with Anagrams:

QUESTION DESCRIPTION
Two strings are anagrams if they are permutations of each other. For example, "aaagmnrs" is an anagram of "anagrams".
Given an array of strings, remove each string that is an anagram of an earlier string, then return the remaining array
in sorted order.

For example, given the strings s = ['code', 'doce', 'ecod', 'framer', 'frame'],  the strings 'doce' and 'ecod' are both
anagrams of 'code' so they are removed from the list. The words 'frame' and 'framer' are not anagrams due to the extra
'r' in 'framer', so they remain. The final list of strings in alphabetical order is ['code', 'frame', 'framer'].

iMel408

samp_list = ['m','e','l']

def list_perm(prefix,suffix):

    suffix_size = len(suffix)

    if suffix_size == 0:
        print(prefix)
    else:
        for i in range(0,suffix_size):

iMel408

ex_list = [0,1,2,3,4,5,6,7,8,9,10]

def binary_search(lst, num):
    """ find position of a given int in an ordered list """

    beg = 0
    end = len(lst) - 1

    while beg <= end:

iMel408

ex_list = [0,1,0,2,3,4,5,6,0,8,9,10]

def linear_search_multi(list, element):
    """ find all index positions of a given element within a list"""

    positions = []

    for i, v in enumerate(list):
        if list[i] == element:

iMel408

def calc_factorial(n):
    """ calculate factorial of a given positive int"""

    x = 1

    if n < 0:
        return 'error: param was neg int'
    elif n == 1:
        return(1)
    else:

iMel408

text = 'meet me at the nut house'

def encrypt_str(txt):
    """
    basic string encryption using:
        ord() returns int representing Unicode for given char.
        char() returns str representation in Unicode for given int.
    """
    encrypted_txt = ''

iMel408

import plotly.plotly as py
import plotly.graph_objs as go

import pandas as pd

df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")

trace_high = go.Scatter(
                x=df.Date,
                y=df['AAPL.High'],