Shogun89

N = 50

a1 = 2
for i in range(2,N):
    
    if (i % 2 ) == 0:
        
        a1 = a1+3
        print(','.join(map(str, [a1, i])))
    else:

Shogun89

days = ['Monday', 'Tuesday', 'Wednesday','Thursday', 'Friday','Saturday','Sunday']
food = []
gas = []
for d in days:
    f = input("Please enter the amount spent on food on {day}:".format(day = d))
    g = input("Please enter the amount spent on gas on {day}:".format(day = d))
    food.append(f)
    gas.append(g)
    
food = list(map(float, food))

Shogun89

days = ['Monday', 'Tuesday', 'Wednesday','Thursday', 'Friday','Saturday','Sunday']
food_count = 0
gas_count = 0
for d in days:
    f = input("Please enter the amount spent on food on {day}:".format(day = d))
    g = input("Please enter the amount spent on gas on {day}:".format(day = d))
    if (float(f) >= 20):
        food_count += 1
    if (float(g) >= 20):
        gas_count += 1

Shogun89

% Here are some test values
a=1
b=2
c=3
d=4

% calling the trial function with the test values
result = trial_function(a,b,c,d)

% displaying the result, note that it is disp not print

Shogun89

def find_max(my_list):
    my_set = set(my_list)
    my_dict = {}
    for item in my_set:
        my_dict[item] = my_list.count(item)
        
    my_max = max(my_dict.keys(), key=(lambda k: my_dict[k]))
    return my_max

Shogun89

import  numpy as np

A = np.array([[1,2],[4,3]])
x0 = np.array([[1],[0]])

def iterate(A,x):
    rho = np.dot(A,x)
    nk = np.max(np.absolute(rho))
    xk = 1/nk* rho
    

Shogun89

import pandas as pd


current_weight = 212
body_fat_percentage = .3
fat_pounds = current_weight* body_fat_percentage

def get_fat_percent(weight_lost, current_weight, fat_percentage):
    
    new_fat = (current_weight*fat_percentage) - 2/3*weight_lost

Shogun89

def convert_km_to_miles(distance):
    
    miles = distance/1.60934
    return miles
  
min_distance = 54.6*10**6
max_distance = 401*10**6
avg_distance = 225*10**6

distances = [min_distance, max_distance, avg_distance]

Shogun89

from datetime import datetime
from datetime import timedelta
from datetime import date

today = date.today()
dif = timedelta(days=14)
add_time  =today+dif

import pandas as pd
my_times = [[today, add_time]]

Shogun89

import pandas as pd
import os
import mysql.connector
def basic_data(data):
    query= data[0]
    cursor = data[1]

    cursor.execute(query)
    df =  pd.DataFrame(cursor.fetchall(),columns=cursor.column_names)