Data Structure Comparisons¶
Choosing the right collection type is crucial. Here is a summary of the four built-in collection types in Python.
Summary Table¶
| Type | Ordered? | Changeable? | Duplicates? | Use Case |
|---|---|---|---|---|
| List | Yes | Yes | Yes | General-purpose collection. |
| Tuple | Yes | No | Yes | Data that shouldn't change (Safe). |
| Set | No | Yes* | No | Unique items, math operations. |
| Dict | Yes | Yes | No (Keys) | Mapping labels to values (Profiles). |
*Set items are unchangeable, but you can add/remove items.
Quick Selection Guide¶
- Do you need to store items with a specific order and might change them?
- Use a List.
- Do you have data that should stay constant (like months of the year)?
- Use a Tuple.
- Do you need to ensure every item is unique?
- Use a Set.
- Do you need to look up a value using a name or label?
- Use a Dictionary.