If you have the exact key you want to find, then you can simply use the [] operator or get the function to get the value associated with this key. For example,Examplea = {    'foo': 45,    'bar': 22 } print(a['foo']) print(a.get('foo'))OutputThis will give the output:45 45ExampleIf you have a substring that you want to search in the dict, you can use substring search on the keys list and if you find it, use the value. For example,a = {    'foo': 45,    'bar': 22 } for key in a.keys():    if key.find('oo') > -1:       print(a[key])OutputThis will give the output45

dicts in python are heavily optimized. Creating a dict from N keys or key/value pairs is O(N), fetching is O(1), putting is amortized O(1), and so forth. You don't need to optimize them explicitly. You can be sure of this as python under the hood implements its own classes using dicts.Don't compare lists/tuples to dicts/sets though as they solve different problems.

You can pretty print a dict in python using the pprint library. The pprint module provides a capability to “pretty-print” arbitrary Python data structures in a form which can be used as input to the interpreter. You can use it as followsExamplea = {    'bar': 22,    'foo': 45 } pprint.pprint(a, width=10)OutputThis will give the output:{'bar': 22, 'foo': 45}As you can see that even this can be unreadable. You can use the json module to actually print it better. For example,Exampleimport json a = {    'bar': 22,    'foo': 45 } print(json.dumps(a, indent=4))OutputThis will give the output:{    "bar": 22,    "foo": 45 }

You can use a list comprehension to truncate keys in a python dict. Iterate over the keys in the dict, and create a new dict with the truncated keys. exampledef truncate_keys(a, length):    return dict((k[:length], v) for k, v in a.items()) a = {'foo': 125, 'bar': 'hello'} b = truncate_keys(a, 2) print(b)OutputThis will give the output{'fo': 125, 'ba': 'hello'}You need to vary about the name collision though. This is because if 2 strings have the same prefix, they will override the values.

You can do this by merging the other dictionary to the first dictionary. In Python 3.5+, you can use the ** operator to unpack a dictionary and combine multiple dictionaries using the following syntax −Syntaxa = {'foo': 125} b = {'bar': "hello"} c = {**a, **b} print(c)OutputThis will give the output −{'foo': 125, 'bar': 'hello'}This is not supported in older versions. You can however replace it using the following similar syntax −Syntaxa = {'foo': 125} b = {'bar': "hello"} c = dict(a, **b) print(c)OutputThis will give the output −{'foo': 125, 'bar': 'hello'}Another thing you can do is using copy and ... Read More

Dicts are hash tables. No tree searching is used. Looking up a key is a nearly constant time(Amortized constant) operation, regardless of the size of the dict. It creates the hash of the key, then proceeds to find the location associated with the hashed value. If a collision listed address is encountered, it starts the collision resolution algorithm to find the actual value.This causes dictionaries to take up more space as they are sparse.

You can get all the values using a call to dict.values(). Then you can call ", ".join on the values to concatenate just the values in the dict separated by commas. examplea = {'foo': "Hello", 'bar': "World"} vals = a.values() concat = ", ".join(vals) print(concat)OutputThis will give the output −Hello, World

It is pretty easy to get the sum of values of a Python dictionary. You can first get the values in a list using the dict.values(). Then you can call the sum method to get the sum of these values. exampled = {    'foo': 10,    'bar': 20,    'baz': 30 } print(sum(d.values()))OutputThis will give the output −60

Python Dictionaries A dictionary in Python is a collection of key-value pairs. Each key is unique and maps to a specific value. For example- {"Title": "The Hobbit", "Author":"J.R.R. Tolkien", "Year": 1937} Dictionaries don't use numeric indexes and don't maintain a fixed order. We can't insert items in a specified position, as dictionaries store data based on keys, other than sequences. Where values can be strings, numbers, or float, and keys can be strings, numbers, or tuples. Lowercasing Python Dictionary Keys and Values To convert dictionary keys and values to lowercase in Python, we can loop through the dictionary and create ... Read More

Python Dictionary In Python, a dictionary is a collection of unique key-value pairs. Unlike lists, which use numeric indexing, dictionaries use immutable keys like strings, numbers, or tuples. Lists cannot be keys since they are mutable. Dictionaries are created using {} and store, retrieve, or delete values using their keys. The list() function returns all keys, sorting them. The in keyword checks for key existence, and replacing a key updates its value. Converting JavaScript to a Python Dictionary Python and JavaScript represent dictionaries differently, so an intermediate format is needed to exchange data between them. The most widely used format ... Read More