Inventory Management

A dictionary (dict) in Python is a data structure that associates hashable keys to values and is known in other programming languages as a resizable hash table, hashmap, or associative array. Dictionaries are Python's only built-in mapping type.

Keys must be hashable and unique across the dictionary. Key types can include numbers, str, or tuples (of immutable values). They cannot contain mutable data structures such as lists, dicts, or sets. As of Python 3.7, dict key order is guaranteed to be the order in which entries are inserted.

values can be of any data type or structure. Values can also nest arbitrarily, so they can include lists-of-lists, sub-dictionaries, and other custom or compound data structures.

Given a key, dictionaries can retrieve a value in (on average) constant time (independent of the number of entries). Compared to searching for a value within a list or array (without knowing the index position), a dict uses significantly more memory, but has very rapid retrieval. Dictionaries are especially useful in scenarios where the collection of items is large and must be accessed and updated frequently.

Dictionary Construction

Dictionaries can be created in many ways. The two most straightforward are using the dict()constructor or declaring a dict literal.

The dict() Class Constructor

dict() (the constructor for the dictionary class) can be used with any iterable of key, value pairs or with a series of <name>=<value> arguments:

#Passing a list of key,value tuples.
>>> wombat = dict([('name', 'Wombat'),('speed', 23),('land_animal', True)])
{'name': 'Wombat', 'speed': 23, 'land_animal': True}


#Using key=value arguments.
>>> bear = dict(name="Black Bear", speed=40, land_animal=True)
{'name': 'Black Bear', 'speed': 40, 'land_animal': True}

Dictionary Literals

A dict can also be directly entered as a dictionary literal, using curly brackets ({}) enclosing key : value pairs:

>>> whale = {"name": "Blue Whale", "speed": 35, "land_animal": False}
{'name': 'Blue Whale', 'speed': 35, 'land_animal': False}

Accessing Values in a Dictionary

You can access an entry in a dictionary using a key in square ([]) brackets. If a key does not exist n the dict, a KeyError is thrown:

>>> bear["speed"]
40

>>> bear["color"]
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
KeyError: 'color'

Accessing an entry via the .get(<key>, <default value>) method can avoid the KeyError:

>>> bear.get("color", 'not found')
'not found'

Changing or Adding Dictionary Values

You can change an entry value by assigning to its key:

#Assigning the value "Grizzly Bear" to the name key.
>>> bear["name"] = "Grizzly Bear"
{'name': 'Grizzly Bear', 'speed': 40, 'land_animal': True}

>>> whale["speed"] = 25
{'name': 'Blue Whale', 'speed': 25, 'land_animal': False}

New key:value pairs can be added in the same fashion:

# Adding an new "color" key with a new "tawney" value.
>>> bear["color"] = 'tawney'
{'name': 'Grizzly Bear', 'speed': 40, 'land_animal': True, 'color': 'tawney'}

>>> whale["blowholes"] = 1
{'name': 'Blue Whale', 'speed': 25, 'land_animal': False, 'blowholes': 1}

Removing (Pop-ing) Dictionary Entries

You can use the .pop(<key>) method to delete a dictionary entry. .pop() removes the (key, value) pair and returns the value for use. Like .get(), .pop(<key>) accepts second argument (dict.pop(<key>, <default value>)) that will be returned if the key is not found. This prevents a KeyError being raised:

#Using .pop() removes both the key and value, returning the value.
>>> bear.pop("name")
'Grizzly Bear'


#The "name" key is now removed from the dictionary.
#Attempting .pop() a second time will throw a KeyError.
>>> bear.pop("name")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
KeyError: 'name'


#Using a default argument with .pop() will prevent a KeyError from a missing key.
>>> bear.pop("name", "Unknown")
'Unknown'

Looping through/Iterating over a Dictionary

Looping through a dictionary using for item in dict or while item will iterate over only the _keys _ by default. You can access the values within the same loop by using square brackets:

>>> for key in bear:
>>>     print((key, bear[key])) #this forms a tuple of (key, value) and prints it.
('name', 'Black Bear')
('speed', 40)
('land_animal', True)

You can also use the .items() method, which returns (key, value) tuples automatically:

#dict.items() forms (key, value tuples) that can be unpacked and iterated over.
>>> for key, value in whale.items():
>>>     print(key, ":", value)
name : Blue Whale
speed : 25
land_animal : False
blowholes : 1

Likewise, the .keys() method will return keys and the .values() method will return the values.