Ordered Dictionaries in Python: Understanding the Ordering in "propertyList"

Unlike earlier Python versions, where dictionaries were unordered, Python now maintains insertion order for dictionaries. This change was implemented in Python 3.7, offering a significant improvement in predictability. However, for legacy Python code, understanding the ordering behavior of dictionaries is crucial.

In your case, the "propertyList" dictionary appears to exhibit a consistent order when printing. This is likely due to the hashing algorithm used in hash tables, which deterministically maps keys to specific indices in the table. The order of these indices then becomes the apparent order of the dictionary's key-value pairs.

The specific order you observe in "propertyList" is likely a result of the order in which its keys were hashed and inserted. For example, the key "name" may have the smallest hash value within the dictionary, causing it to consistently appear at the beginning of the printed output.

It's important to note that hash functions are designed to be pseudo-random and difficult to predict. Therefore, the exact order in which keys appear in an unordered dictionary may vary between executions and across different systems.

In modern Python code, using an OrderedDict allows you to explicitly preserve the insertion order of dictionary elements. This ensures that the order you expect remains consistent, regardless of the underlying hash table implementation.