List comprehensions are a concise way to create lists in Python. They provide a shorter syntax for generating lists, allowing you to create them in a single, readable line. This feature not only makes your code cleaner but also more efficient in terms of execution speed. Typically, they consist of brackets containing an expression followed by a `for` clause, and can include multiple `for` and `if` clauses.
For example, you can create a list of squares for numbers from 0 to 9 using a list comprehension:
squares = [x**2 for x in range(10)]
This will produce the list:
[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]
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?