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295 changes: 294 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
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# Python-Workshop
# 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: **
#
# [email protected]
#
# **So for example, passing "[email protected]" 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!