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PYTHON

python sets

# You can't create a set like this in Python
my_set = {} # ---- This is a Dictionary/Hashmap

# To create a empty set you have to use the built in method:
my_set = set() # Correct!


set_example = {1,3,2,5,3,6}
print(set_example)

# OUTPUT
# {1,3,2,5,6} ---- Sets do not contain duplicates and are unordered
Comment

python set &

>>> A = {0, 2, 4, 6, 8};
>>> B = {1, 2, 3, 4, 5};

>>> print("Union :", A | B)  
Union : {0, 1, 2, 3, 4, 5, 6, 8}

>>> print("Intersection :", A & B)
Intersection : {2, 4}

>>> print("Difference :", A - B)
Difference : {0, 8, 6}

# elements not present both sets
>>> print("Symmetric difference :", A ^ B)   
Symmetric difference : {0, 1, 3, 5, 6, 8}
Comment

python set

# A set contains unique elements of which the order is not important
s = set()
s.add(1)
s.add(2)
s.remove(1)
print(s)
# Can also be created from a list (or some other data structures)
num_list = [1,2,3]
set_from_list = set(num_list)
Comment

set in python

myNewSet = set()

myNewSet.add("what have you done")
myNewSet.add("to earn your place")
myNewSet.add("in this crowded world?")


"what have you done" in myNewSet		# ->	true
myNewSet.remove("to earn your place")
# ->	 myNewSet = {"what have you done", "in this crowded world?"}
Comment

python sets


empty_set = set()

basket = {'apple', 'orange', 'apple', 'pear', 'orange', 'banana'}

# sets do not contain duplicates
print(basket)                      
# output {'orange', 'banana', 'pear', 'apple'}

# check if orange is in basket set
print('orange' in basket)
# output true

# convert a string to a set of letters - sets contains no duplicates
set_a = set('abcd')
set_b = set('bcde')

# the operations below returns new sets
# print letters in set_a but not in set_b - difference
print(set_a - set_b)
# output {'a'}

# print set letters that is in either set a or b - union
print(set_a | set_b)
# output {'a', 'c', 'e', 'b', 'd'}

# print letters that are in both set_a and set_b - intersection
print(set_a & set_b)
# output {'c', 'd', 'b'}

# print letters that are in set_a and set_b when the letters are found in a set but no the other set - symmetric_difference()
print(set_a ^ set_b)
# output {'a', 'e'}
Comment

python set

set_example = {1, 2, 3, 4, 5, 5, 5}

print(set_example)

# OUTPUT
# {1, 2, 3, 4, 5} ----- Does not print repetitions
Comment

sets in python

set_of_base10_numbers = {1, 2, 3, 4, 5, 6, 7, 8, 9, 0}
set_of_base2_numbers = {1, 0}

intersection = set_of_base10_numbers.intersection(set_of_base2_numbers)
union = set_of_base10_numbers.union(set_of_base2_numbers)

'''
intersection: {0, 1}:
	if the number is contained in both sets it becomes part of the intersection
union: {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}:
	if the number exists in at lease one of the sets it becomes part of the union
'''
Comment

set in python

A_Set = {1, 2, "hi", "test"}

for i in A_Set: #Loops through the set. You only get the value not the index
  print(i) #Prints the current value
Comment

set() python

#help set the array in python in order
Comment

python set

my_set = set() # Use this to declare an empty set in python
my_set = {"apple", "orange"} # Use this to declare a set in python
Comment

when to use python sets

"""
The Python sets are highly useful to efficiently remove duplicate values from
a collection like a list and to perform common math operations like unions and
intersections.
"""
Comment

python sets

# Python also has sets which you can use
# Keep in mind that sets cannot have duplicate of the same value
# This can be useful for removing doubles in a list

mySet = {1, 2, 2, 3, 4, 5, 10, 10, 15}
print(mySet) # {1, 2, 3, 4, 5, 10, 15}

# You can also create a set with 'set([list elements])'

myList = ['apples', 'bananas', 'oranges', 'grapes']
myList.append('apples')
myList.append('oranges')
print(myList) # ['apples', 'bananas', 'oranges', 'grapes', 'apples', 'oranges']

myNewSet = set(myList)
print(myNewSet) # {'apples', 'bananas', 'oranges', 'grapes'}
Comment

python set

set_name = {item1, item2, ...}
Comment

How to Create Sets in Python

nameSet = {"John", "Jane", "Doe"}

print(nameSet)
# {'Jane', 'Doe', 'John'}
Comment

Python Sets

# Python program to demonstrate
# Creation of Set in Python
 
# Creating a Set
set1 = set()
print("Initial blank Set: ")
print(set1)
 
# Creating a Set with
# the use of a String
set1 = set("GeeksForGeeks")
print("
Set with the use of String: ")
print(set1)
 
# Creating a Set with
# the use of Constructor
# (Using object to Store String)
String = 'GeeksForGeeks'
set1 = set(String)
print("
Set with the use of an Object: " )
print(set1)
 
# Creating a Set with
# the use of a List
set1 = set(["Geeks", "For", "Geeks"])
print("
Set with the use of List: ")
print(set1)
Comment

Python Sets

# Python program to demonstrate
# Creation of Array
 
# importing "array" for array creations
import array as arr
 
# creating an array with integer type
a = arr.array('i', [1, 2, 3])
 
# printing original array
print ("The new created array is : ", end =" ")
for i in range (0, 3):
    print (a[i], end =" ")
print()
 
# creating an array with float type
b = arr.array('d', [2.5, 3.2, 3.3])
 
# printing original array
print ("The new created array is : ", end =" ")
for i in range (0, 3):
    print (b[i], end =" ")
Comment

set in python

#Definition: A collection of values (similiar spirit to python dictionary) 
#			 implementing hash table as a data structure underneath the hood.
Comment

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