Apprendre Implementing Sets in Python

By using sets in Python, you'll sufficiently perform mathematical operations such as union, intersection, and difference. These operations not only make sets especially useful for general modeling purposes, but also for data filtering, duplicate removal, and relational operations.

Breaking Down the Python Code

Defining Sets

A set is defined using curly brackets {} or the set() function. Sets do not allow duplicate values and do not maintain any specific order.


              123456
            
# Define two sets
set_a = {1, 2, 3, 4, 5}
set_b = set([4, 5, 6, 7, 8])

print("Set A:", set_a)
print("Set B:", set_b)

Even if we define a set with duplicate values, Python automatically removes the duplicates.

Union of Sets

Combines elements from both sets. No duplicates are included.


              12345
            
set_a = {1, 2, 3, 4, 5}
set_b = {4, 5, 6, 7, 8}

union_set = set_a.union(set_b)
print("Union:", union_set)

Intersection of Sets

Returns only the elements common to both sets.


              12345
            
set_a = {1, 2, 3, 4, 5}
set_b = {4, 5, 6, 7, 8}

intersection_set = set_a.intersection(set_b)
print("Intersection:", intersection_set)

Difference of Sets

Finds elements in set_a that are NOT in set_b.


              12345
            
set_a = {1, 2, 3, 4, 5}
set_b = {4, 5, 6, 7, 8}

difference_set = set_a.difference(set_b)
print("Difference (A - B):", difference_set)

Symmetric Difference

Finds elements that are in either set, but NOT in both.


              12345
            
set_a = {1, 2, 3, 4, 5}
set_b = {4, 5, 6, 7, 8}

symmetric_difference_set = set_a.symmetric_difference(set_b)
print("Symmetric Difference:", symmetric_difference_set)

Subset and Superset Relationships

issubset() checks if all elements of one set exist in another.
issuperset() checks if one set fully contains another.


              12345
            
set_a = {1, 2, 3, 4, 5}
set_b = {4, 5, 6, 7, 8}

print("Is A a subset of B?", set_a.issubset(set_b))
print("Is A a superset of {3, 4}?", set_a.issuperset({3, 4}))

Removing Duplicates Using Sets

A common real-world use case for sets is removing duplicates from a list.


              123
            
data = [1, 2, 2, 3, 4, 4, 5]
unique_data = set(data)
print("Unique values:", unique_data)

Since sets do not allow duplicates, converting a list into a set automatically removes repeated values.

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Section 2. Chapitre 2

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Breaking Down the Python Code

Defining Sets

A set is defined using curly brackets {} or the set() function. Sets do not allow duplicate values and do not maintain any specific order.


              123456
            
# Define two sets
set_a = {1, 2, 3, 4, 5}
set_b = set([4, 5, 6, 7, 8])

print("Set A:", set_a)
print("Set B:", set_b)

Even if we define a set with duplicate values, Python automatically removes the duplicates.

Union of Sets

Combines elements from both sets. No duplicates are included.


              12345
            
set_a = {1, 2, 3, 4, 5}
set_b = {4, 5, 6, 7, 8}

union_set = set_a.union(set_b)
print("Union:", union_set)

Intersection of Sets

Returns only the elements common to both sets.


              12345
            
set_a = {1, 2, 3, 4, 5}
set_b = {4, 5, 6, 7, 8}

intersection_set = set_a.intersection(set_b)
print("Intersection:", intersection_set)

Difference of Sets

Finds elements in set_a that are NOT in set_b.


              12345
            
set_a = {1, 2, 3, 4, 5}
set_b = {4, 5, 6, 7, 8}

difference_set = set_a.difference(set_b)
print("Difference (A - B):", difference_set)

Symmetric Difference

Finds elements that are in either set, but NOT in both.


              12345
            
set_a = {1, 2, 3, 4, 5}
set_b = {4, 5, 6, 7, 8}

symmetric_difference_set = set_a.symmetric_difference(set_b)
print("Symmetric Difference:", symmetric_difference_set)

Subset and Superset Relationships

issubset() checks if all elements of one set exist in another.
issuperset() checks if one set fully contains another.


              12345
            
set_a = {1, 2, 3, 4, 5}
set_b = {4, 5, 6, 7, 8}

print("Is A a subset of B?", set_a.issubset(set_b))
print("Is A a superset of {3, 4}?", set_a.issuperset({3, 4}))

Removing Duplicates Using Sets

A common real-world use case for sets is removing duplicates from a list.


              123
            
data = [1, 2, 2, 3, 4, 4, 5]
unique_data = set(data)
print("Unique values:", unique_data)

Since sets do not allow duplicates, converting a list into a set automatically removes repeated values.

Tout était clair ?

Merci pour vos commentaires !

Section 2. Chapitre 2

Implementing Sets in Python

Breaking Down the Python Code

Defining Sets

Union of Sets

Intersection of Sets

Difference of Sets

Symmetric Difference

Subset and Superset Relationships

Removing Duplicates Using Sets

1. How do you define an empty set in Python?

2. What is the output of this code?

3. How can you remove duplicate values from a list using sets?

4. Which method returns a new set containing elements found only in one of two sets but not both?

Awesome!

Implementing Sets in Python

Breaking Down the Python Code

Defining Sets

Union of Sets

Intersection of Sets

Difference of Sets

Symmetric Difference

Subset and Superset Relationships

Removing Duplicates Using Sets

1. How do you define an empty set in Python?

2. What is the output of this code?

3. How can you remove duplicate values from a list using sets?

4. Which method returns a new set containing elements found only in one of two sets but not both?