📙 Episode 4: Mastering Sets in Python – DarchumsTech Series

Welcome to Episode 4 of the Data Structures in Python journey. Today, we’re exploring Sets — an amazing way to store unique elements efficiently!

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🔵 What is a Set?

A Set in Python is an unordered collection of unique elements. Sets automatically remove duplicate values and are defined using curly braces {} or the set() function.

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🛠 Creating and Using Sets

You can create a set by listing values inside curly braces. Sets don't allow duplicates and their items are unordered.

my_set = {1, 2, 3, 4, 4, 5}
print(my_set)  # Output: {1, 2, 3, 4, 5}

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🚀 Common Set Operations

Sets support operations like union, intersection, difference, and subset checking.

a = {1, 2, 3}
b = {3, 4, 5}

print(a.union(b))       # {1, 2, 3, 4, 5}
print(a.intersection(b))# {3}
print(a.difference(b))  # {1, 2}

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⚠️ Important Notes About Sets

• Sets are unordered — items have no fixed order.
• Sets are mutable — you can add or remove elements.
• Only immutable (hashable) types can be set items (e.g., no lists inside sets).

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🎮 Try It Yourself

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📌 Summary

• Sets store unique, unordered items.
• They are great for removing duplicates and performing math-like operations.
• Efficient for membership testing and union/intersection of data.

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🚀 Coming Up Next...

In Episode 5, we’ll explore Dictionaries in Python — the ultimate key-value storage!

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