How do I merge sets in Python with standard library only?

In Python, you can merge sets using various methods available in the standard library. Sets are unordered collections of unique elements, and they provide several built-in operations to combine them.

Here are some common ways to merge sets:

  • Using the union method: You can use the `.union()` method to merge two sets.
  • Using the | operator: This operator allows you to combine sets easily.
  • Using the update method: This method modifies a set in place by adding elements from another set.

Below is an example demonstrating how to merge sets in Python:

# Example of merging sets in Python set_a = {1, 2, 3} set_b = {3, 4, 5} # Method 1: Using union merged_set_union = set_a.union(set_b) print("Merged Set using union:", merged_set_union) # Method 2: Using the | operator merged_set_pipe = set_a | set_b print("Merged Set using | operator:", merged_set_pipe) # Method 3: Using update set_a.update(set_b) print("Merged Set using update:", set_a)

Python Sets Merge Sets Union Update Python Set Operations

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?