Intermediate Python Session Part 3 of 4


Dictionary Comprehensions


We are now on part 3 of Intermediate Python, dictionary comprehensions or dict comprehension for short. PEP 274 is a follow up to list comprehensions, but for creating dictionaries.

The constructing of dict comprehensions are very similar to list comprehensions, but they use { } curly brackets to enclose code and provide a key : value mapping for the object.

Here in the example below is a dictionary that maps a string to an integer:
The code below is using the example above and producing it as a list comprehension and turning it into a dictionary using the dict function:


Dict Comprehensions come in handy when you want pair up values in a object, and to organize them in a dict. But turning an object into a sequence with length of 2 can be inconvenient or inefficient from a memory or performance standpoint. So, they do not work on infinite sequences, because Python has no construct of an infinitely large dictionaries.













Count of a List of Random Integers
Here is an example of getting the count of random numbers from a list, and arranging them by number and how times it appears on the list in a dictionary format:



The key on the dict represents the random integer and the value represents how many times that integer appears on the list (rand_nums).


Now that we have gone through this intro to dict comprehensions, the next and final part of our series to Intermediate Python will be on set comprehensions.







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