Python-Workshop

## Exercises

Answer the questions or complete the tasks outlined in bold below.

def power(a,b):

# ** What is 7 to the power of 4?**


return a**b

def split_str(s):

# ** Split this string:**

s = "Hi there Sam!"

**into a list. **

return s.split()

def format(planet,diameter): print('The diameter of {} is {} kilometers.'.format(planet,diameter))

** Given the variables:**

planet = "Earth"

diameter = 12742

** Use .format() to print the following string: **

The diameter of Earth is 12742 kilometers.

return None

def indexing(lst):

** Given this nested list, use indexing to grab the word "hello" **

#lst = [1,2,[3,4],[5,[100,200,['hello']],23,11],1,7]

return lst[3][1][2][0]

#indexing(lst)

def dictionary(d):

** Given this nested dictionary grab the word "hello". Be prepared, this will be annoying/tricky **

return d['k1'][3]['tricky'][3]['target'][3]

def subjective():

** What is the main difference between a tuple and a list? **

Tuple is immutable_

return immutable

def domainGet(email):

# ** Create a function that grabs the email website domain from a string in the form: **

user@domain.com

So for example, passing "user@domain.com" would return: domain.com

return email.split('@')[1]

def findDog(st): st=st.lower() if (st.find('dog')==-1): val ='False' else: val='True'

** Create a basic function that returns True if the word 'dog' is contained in the input string. Don't worry about edge cases like a punctuation being attached to the word dog, but do account for capitalization. **

return val

def countDog(st): st=st.lower()

** Create a function that counts the number of times the word "dog" occurs in a string. Again ignore edge cases. **

return st.count('dog')

def lambdafunc(seq):

# ** Use lambda expressions and the filter() function to filter out words from a list that don't start with the letter 's'. For example:**

should be filtered down to:

['soup','salad']

return list(filter( lambda item:item[0]=='s',seq))

def caught_speeding(speed, is_birthday): if(is_birthday==True): speed=speed-5

if(speed<=60):
        valu="No ticket"
elif(speed<=80):
        valu="Small ticket"
else:
        valu="Big Ticket"

**You are driving a little too fast, and a police officer stops you. Write a function

to return one of 3 possible results: "No ticket", "Small ticket", or "Big Ticket".

If your speed is 60 or less, the result is "No Ticket". If speed is between 61

and 80 inclusive, the result is "Small Ticket". If speed is 81 or more, the result is "Big Ticket". Unless it is your birthday (encoded as a boolean value in the parameters of the function) -- on your birthday, your speed can be 5 higher in all

cases. **

return valu

Numpy Exercises

import numpy as np

def create_arr_of_fives(): arr=np.ones(5); arr=arr*5;

Create an array of 10 fives

Convert your output into list

e.g return list(arr)

return list(arr)

def even_num(): arr=np.linspace(0,50,26)

Create an array of all the even integers from 10 to 50

Convert your output into list

e.g return list(arr)

return list(arr)

def create_matrix(): arr=np.arange(9) arr=list(arr.reshape(3,3))

Create a 3x3 matrix with values ranging from 0 to 8

Convert your output into list

e.g return (arr).tolist()

return arr

def linear_space(): l=np.linspace(0,1,20)

Create an array of 20 linearly spaced points between 0 and 1

Convert your output into list

e.g return list(arr)

return list(l)

def decimal_mat(): li=np.linspace(1,100,100).reshape(10,10) li=li/100

Create an array of size 10*10 consisting of numbers from 0.01 to 1

Convert your output into list

e.g return (arr).tolist()

return list(li)

def slices_1():

This is a given array

arr = np.arange(1,26).reshape(5,5)

array([[ 1, 2, 3, 4, 5],

[ 6, 7, 8, 9, 10],

[11, 12, 13, 14, 15],

[16, 17, 18, 19, 20],

[21, 22, 23, 24, 25]])

arr=arr[2:,1:]

Write a code to slice this given array

Convert your output into list

e.g return (arr).tolist()

array([[12, 13, 14, 15],

[17, 18, 19, 20],

[22, 23, 24, 25]])

return list(arr)

def slices_2():

This is a given array

arr = np.arange(1,26).reshape(5,5)

array([[ 1, 2, 3, 4, 5],

[ 6, 7, 8, 9, 10],

[11, 12, 13, 14, 15],

[16, 17, 18, 19, 20],

[21, 22, 23, 24, 25]])

arr=arr[:3,1]

Write a code to slice this given array

Convert your output into list

e.g return (arr).tolist()

array([[ 2],

[ 7],

[12]])

return list(arr)

def slices_3():

This is a given array

arr = np.arange(1,26).reshape(5,5)

array([[ 1, 2, 3, 4, 5],

[ 6, 7, 8, 9, 10],

[11, 12, 13, 14, 15],

[16, 17, 18, 19, 20],

[21, 22, 23, 24, 25]])

arr=arr[3:,:]

Write a code to slice this given array

Convert your output into list

e.g return (arr).tolist()

array([[16, 17, 18, 19, 20],

[21, 22, 23, 24, 25]])

return list(arr)

Great job!