This document explains Python dictionaries, including keys, values, creation access, modification, deletion, and methods for managing key-value pairs.
This document covers Python dictionaries, including keys, values, creation, access, modification, deletion, and methods for managing key-value pairs efficiently.
Dictionaries are collections in Python that store data as key-value pairs. Keys are unique and immutable, while values can be mutable or immutable.
{}.Example:
1album_release = {
2 "Back in Black": 1980,
3 "The Dark Side of the Moon": 1973,
4 "The Bodyguard": 1992
5}
Access values using keys:
1album_release["Back in Black"] # 1980
2album_release["The Dark Side of the Moon"] # 1973
album_release["Graduation"] = 2007del album_release["Thriller"]"Back in Black" in album_release (returns True or False)album_release.keys()album_release.values()Dictionaries can be visualized as tables:
| Key | Value |
|---|---|
| Back in Black | 1980 |
| The Dark Side of the Moon | 1973 |
| The Bodyguard | 1992 |
Python dictionaries provide a flexible way to store and manage key-value pairs. Understanding creation, access, modification, and methods is essential for efficient data handling.
(4) Dictionaries do not support access by index; values are accessed by key.
| Concept | Description |
|---|---|
| A. Key | 1. Information associated with a key |
| B. Value | 2. Unique, immutable identifier in a dictionary |
| C. Del | 3. Removes a key-value pair |
| D. In | 4. Checks if a key exists |
A-2, B-1, C-3, D-4.
Dictionary values can be mutable, immutable, and duplicated, but keys must be unique and immutable.
True. Keys must be unique and immutable; values can be any type and duplicated.