How do I merge lists in Python safely and idiomatically?

In Python, merging lists can be done safely and idiomatically using various methods. Here are some approaches you can take to combine lists effectively.

Python, merge lists, list concatenation, list comprehension, idiomatic Python
Learn how to merge lists in Python using different methods such as list concatenation, using the `extend` method, or list comprehensions to create new data structures without losing elements. 
# Merging lists using the '+' operator
list1 = [1, 2, 3]
list2 = [4, 5, 6]
merged_list = list1 + list2
print(merged_list)  # Output: [1, 2, 3, 4, 5, 6]

# Merging lists using the extend() method
list1 = [1, 2, 3]
list2 = [4, 5, 6]
list1.extend(list2)
print(list1)  # Output: [1, 2, 3, 4, 5, 6]

# Merging lists using list comprehension
list1 = [1, 2, 3]
list2 = [4, 5, 6]
merged_list = [item for sublist in [list1, list2] for item in sublist]
print(merged_list)  # Output: [1, 2, 3, 4, 5, 6]

Python merge lists list concatenation list comprehension idiomatic Python

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?