diff --git a/Python_Exercises.py b/Python_Exercises.py index d7e6135..b09cfd6 100644 --- a/Python_Exercises.py +++ b/Python_Exercises.py @@ -1,121 +1,119 @@ - # ## Exercises # Answer the questions or complete the tasks outlined in bold below. -def power(a,b): - +def power(a, b): # ** What is 7 to the power of 4?** - - return None + return a**b def split_str(s): - # ** Split this string:** -# -# s = "Hi there Sam!" -# -# **into a list. ** + # + # s = "Hi there Sam!" + # + # **into a list. ** - return None + return list(s.split()) -def format(planet,diameter): - -# ** Given the variables:** -# -# planet = "Earth" -# diameter = 12742 -# -# ** Use .format() to print the following string: ** -# -# The diameter of Earth is 12742 kilometers. +def 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 + return ("The diameter of: {} is: {} kilometers.".format(planet,diameter)) def indexing(lst): - -# ** Given this nested list, use indexing to grab the word "hello" ** + # ** Given this nested list, use indexing to grab the word "hello" ** -#lst = [1,2,[3,4],[5,[100,200,['hello']],23,11],1,7] + # lst = [1,2,[3,4],[5,[100,200,['hello']],23,11],1,7] - return None + return (lst[3][1][2][0]) def dictionary(d): - -# ** Given this nested dictionary grab the word "hello". Be prepared, this will be annoying/tricky ** - -# d = {'k1':[1,2,3,{'tricky':['oh','man','inception',{'target':[1,2,3,'hello']}]}]} + # ** Given this nested dictionary grab the word "hello". Be prepared, this will be annoying/tricky ** + # d = {'k1':[1,2,3,{'tricky':['oh','man','inception',{'target':[1,2,3,'hello']}]}]} - return None - + return (d['k1'][3]['tricky'][3]['target'][3]) def subjective(): - -# ** What is the main difference between a tuple and a list? ** -# Tuple is _______ - - return None - + # ** What is the main difference between a tuple and a list? ** + # Tuple is _______ + 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** + # + # user@domain.com + # + # **So for example, passing "user@domain.com" would return: domain.com** - return None + for i in range(4, ): + return email[i] def findDog(st): - -# ** 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 None + # ** 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. ** + b = st.lower() + a = b.count("dog") + if (a>0): + return ("True") def countDog(st): + # ** Create a function that counts the number of times the word "dog" occurs in a string. Again ignore edge cases. ** -# ** Create a function that counts the number of times the word "dog" occurs in a string. Again ignore edge cases. ** - - return None - + 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:** -# -# seq = ['soup','dog','salad','cat','great'] -# -# **should be filtered down to:** -# -# ['soup','salad'] - - return None + # + # seq = ['soup','dog','salad','cat','great'] + # + # **should be filtered down to:** + # + # ['soup','salad'] + for item in seq: + return list(filter(lambda item: item[0]=="s", seq)) def caught_speeding(speed, is_birthday): - - -# **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. ** + # **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. ** + if (is_birthday): + if(speed<=65): + return "No ticket" + elif (speed>65 & speed<=85): + return "Small ticket" + else : + return "Big ticket" + + else: + if (speed<=60): + return "No ticket" + elif (speed>60 & speed <= 80): + return "Small ticket" + else: + return "Big ticket" - return None ## Numpy Exercises @@ -124,114 +122,103 @@ def caught_speeding(speed, is_birthday): def create_arr_of_fives(): - - #### Create an array of 10 fives - #### Convert your output into list - #### e.g return list(arr) - - return None + #### Create an array of 10 fives + #### Convert your output into list + #### e.g return list(arr) + a = [5,5,5,5,5,5,5,5,5,5] + ar = np.array(a) + return list(ar) def even_num(): - - ### Create an array of all the even integers from 10 to 50 - ### Convert your output into list - ### e.g return list(arr) - - return None + ### Create an array of all the even integers from 10 to 50 + ### Convert your output into list + ### e.g return list(arr) + a = [10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50] + ar = np.array(a) + return list(ar) def create_matrix(): - - ### Create a 3x3 matrix with values ranging from 0 to 8 - ### Convert your output into list - ### e.g return (arr).tolist() - - return None - + ### Create a 3x3 matrix with values ranging from 0 to 8 + ### Convert your output into list + ### e.g return (arr).tolist() + a = [[0,1,2],[3,4,5],[6,7,8]] + ar = np.array(a) + return ar.tolist() def linear_space(): - - ### Create an array of 20 linearly spaced points between 0 and 1 - ### Convert your output into list - ### e.g return list(arr) - - return None - + ### Create an array of 20 linearly spaced points between 0 and 1 + ### Convert your output into list + ### e.g return list(arr) + ar = np.linspace(0,1,20) + return list(ar) def decimal_mat(): - - ### 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 None - + ### 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() + ar = np.linspace(0.01, 1, 100) + b = ar.reshape(10,10) + return b.tolist() 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]]) - - # 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 None - - + # 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]]) + + # 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]]) + ar = arr[ 2: , 1:] + return ar.tolist() 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]]) - - # Write a code to slice this given array - ### Convert your output into list - ### e.g return (arr).tolist() - # array([[ 2], - # [ 7], - # [12]]) - - return None - + # 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]]) + + # Write a code to slice this given array + ### Convert your output into list + ### e.g return (arr).tolist() + # array([[ 2], + # [ 7], + # [12]]) + ar = arr[ 0:3 , 1:2 ] + return ar.tolist() 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]]) - - # 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 None - + # 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]]) + + # 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]]) + ar = arr[ 3: , : ] + return ar.tolist() # Great job!