{"id":9998,"date":"2021-03-13T20:28:00","date_gmt":"2021-03-13T14:58:00","guid":{"rendered":"http:\/\/www.pythonpool.com\/?p=9998"},"modified":"2026-07-13T12:32:41","modified_gmt":"2026-07-13T07:02:41","slug":"python-min","status":"publish","type":"post","link":"https:\/\/www.pythonpool.com\/python-min\/","title":{"rendered":"Python min(): Find the Smallest Value Safely"},"content":{"rendered":"

Quick answer:<\/strong> Call min(iterable) or min(value1, value2, …). Use key to compare objects by a field, default when an empty iterable is valid, and remember that ties return the first minimum encountered.<\/p>\n

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min can compare an iterable or several arguments; key controls the comparison field and default defines what happens when no values exist.<\/figcaption><\/figure>\n

The Python min()<\/code> function returns the smallest item from an iterable or the smallest of several arguments. It is the standard built-in tool for finding minimum values in ordinary Python data.<\/p>\n

The official Python documentation covers min()<\/a>.<\/p>\n

Use min()<\/code> when the data is already in memory and you need one smallest item. Use NumPy tools for array-heavy numeric work, and use a heap when you repeatedly need the smallest item from a changing collection.<\/p>\n

The examples below cover the common patterns: a list of numbers, several direct arguments, default values for empty input, key<\/code> functions, dictionaries, and custom records.<\/p>\n

The main design choice is what “smallest” means for your data. Sometimes it is the lowest number. Sometimes it is the shortest string, the cheapest product, the earliest timestamp, or the object with the lowest score. The key<\/code> argument is how you make that rule explicit.<\/p>\n

Keep the comparison rule simple and deterministic. If two items compare equally, Python returns the first one it sees, so input order can decide ties.<\/p>\n

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