👩‍💻 heapq.merge(): Combining sorted data!

If you have multiple sources of data that are already sorted, you don't need to collect them into a single collection and sort them again. heapq.merge() combines such sources into a single, ordered iterator.

In this guide:
• We will combine multiple sorted sequences;
• We will explore lazy processing of large data sources;
• We will configure comparison using the key argument;
• We will combine data sorted in reverse order.

This is especially useful when working with logs, files, and query results, where each source already provides data in the correct order.

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In Python 3.15, a single asterisk replaces nested loops. 🐍✨

Previously, to flatten a list, you would write:

rows = [[1, 2], [3], [4, 5]]

flat = [x for row in rows for x in row]

Now, you can simply use:

flat = [*row for row in rows]
# [1, 2, 3, 4, 5]

A double asterisk merges dictionaries: 📦

configs = [
    {"debug": False, "timeout": 10},
    {"timeout": 30},
]

config = {**part for part in configs}
# {'debug': False, 'timeout': 30}

When keys overlap, the last value wins – this is convenient for combining settings from multiple sources. ⚙️

Unpacking removes one level of nesting. In Python 3.14, this syntax within comprehensions will raise a SyntaxError. 🚫

https://peps.python.org/pep-0798/

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