playoffs season! In this exercise, let's utilize dictionaries to see if we can model and learn more about some of our favorite players. In this problem, you will be implementing multiple functions. As you can see within your hw05.py file, the dictionaries mapping players to their team and statistics respectively have been created already. However, instead of accessing these values directly, we'll be implementing two functions to retrieve the appropriate values as a layer of abstraction. Implement the get_team and get_stats functions to retrieve the team or statistics given a player's name. full roster = { } "Manny Machado": "Dodgers", "Yasiel Puig" : "Dodgers", "Aaron Judge" : "Yankees", } "Clayton Kershaw": "Dodgers", "Giancarlo Stanton" : "Yankees" full_stats = { "Manny Machado": ["SO", "1B", "3B", "SO", "HR"], "Yasiel Puig": ["3B", "3B", "18", "18", "50"], "Aaron Judge": ["SO", "HR", "HR", "1B", "50"], "Clayton Kershaw": ["1B", "SO", "50", "18", "S0"], "Giancarlo Stanton": ["HR", "50", "3B", "50", "28"], def get_team (player): """Returns team that the provided player is a member of. >>>get_team ("Manny Machado") 'Dodgers' >>>get_team("Aaron Judge") 'Yankees' nun "*** YOUR CODE HERE *****" def get_stats (player): """Returns the statistics associated with the provided player. >>>get_stats ("Manny Machado") ['50', '18', '38', '50', 'HR'] >>>get_stats('Aaron Judge') ['50', 'HR', 'HR', '18', '50'] "*** YOUR CODE HERE ***"

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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It's October, which means it's baseball playoffs season! In this exercise, let's utilize dictionaries to see if we can model and learn more about some of our favorite players. In this problem, you will be implementing multiple functions.

As you can see within your `hw05.py` file, the dictionaries mapping players to their team and statistics respectively have been created already. However, instead of accessing these values directly, we'll be implementing two functions to retrieve the appropriate values as a layer of abstraction.

Implement the `get_team` and `get_stats` functions to retrieve the team or statistics given a player's name.

```python
full_roster = {
    "Manny Machado"   : "Dodgers",
    "Yasiel Puig"     : "Dodgers",
    "Aaron Judge"     : "Yankees",
    "Clayton Kershaw" : "Dodgers",
    "Giancarlo Stanton": "Yankees"
}

full_stats = {
    "Manny Machado"   : ["SO", "1B", "3B", "SO", "HR"],
    "Yasiel Puig"     : ["3B", "3B", "1B", "1B", "SO"],
    "Aaron Judge"     : ["SO", "HR", "1B", "SO", "SO"],
    "Clayton Kershaw" : ["1B", "SO", "SO", "1B", "SO"],
    "Giancarlo Stanton": ["HR", "SO", "3B", "SO", "2B"],
}

def get_team(player):
    """Returns team that the provided player is a member of.

    >>> get_team("Manny Machado")
    'Dodgers'
    >>> get_team("Aaron Judge")
    'Yankees'
    """
    # *** YOUR CODE HERE ***

def get_stats(player):
    """Returns the statistics associated with the provided player.

    >>> get_stats("Manny Machado")
    ['SO', '1B', '3B', 'SO', 'HR']
    >>> get_stats("Aaron Judge")
    ['SO', 'HR', '1B', 'SO', 'SO']
    """
    # *** YOUR CODE HERE ***
```

These functions will help manage and query player data efficiently by abstracting the direct dictionary access.
Transcribed Image Text:It's October, which means it's baseball playoffs season! In this exercise, let's utilize dictionaries to see if we can model and learn more about some of our favorite players. In this problem, you will be implementing multiple functions. As you can see within your `hw05.py` file, the dictionaries mapping players to their team and statistics respectively have been created already. However, instead of accessing these values directly, we'll be implementing two functions to retrieve the appropriate values as a layer of abstraction. Implement the `get_team` and `get_stats` functions to retrieve the team or statistics given a player's name. ```python full_roster = { "Manny Machado" : "Dodgers", "Yasiel Puig" : "Dodgers", "Aaron Judge" : "Yankees", "Clayton Kershaw" : "Dodgers", "Giancarlo Stanton": "Yankees" } full_stats = { "Manny Machado" : ["SO", "1B", "3B", "SO", "HR"], "Yasiel Puig" : ["3B", "3B", "1B", "1B", "SO"], "Aaron Judge" : ["SO", "HR", "1B", "SO", "SO"], "Clayton Kershaw" : ["1B", "SO", "SO", "1B", "SO"], "Giancarlo Stanton": ["HR", "SO", "3B", "SO", "2B"], } def get_team(player): """Returns team that the provided player is a member of. >>> get_team("Manny Machado") 'Dodgers' >>> get_team("Aaron Judge") 'Yankees' """ # *** YOUR CODE HERE *** def get_stats(player): """Returns the statistics associated with the provided player. >>> get_stats("Manny Machado") ['SO', '1B', '3B', 'SO', 'HR'] >>> get_stats("Aaron Judge") ['SO', 'HR', '1B', 'SO', 'SO'] """ # *** YOUR CODE HERE *** ``` These functions will help manage and query player data efficiently by abstracting the direct dictionary access.
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