What is a namedtuple?
A namedtuple is aPython tuple with named fields. They’re like dicts, but they’re more efficient for reading and writing and they don’t support item assignment.
A namedtuple is created by calling thenamedtuples() function. The first argument is the name of the tuple, and the second argument is a list of field names. Optionally, a third argument can be provided, which is a dictionary of field names and values.
Namedtuples are immutable, so you can’t change the values of fields after they’ve been created. However, you can change the values of fields by using the_replace() method.
What are the benefits of using a namedtuple over a regular tuple?
Namedtuple is a python standard library that allows you to create tuple-like objects that have names and can be accessed using those names.
This is really useful when you want to create an immutable object that has readable attributes. It also eliminates the need for indexing when accessing members of the tuple.
Here is a quick example:
from collections import namedtuple
Car = namedtuple(‘Car’, ‘color mileage’)
my_car = Car(‘red’, 3812.4)
How do you call a namedtuple on a collection type?
You can call a namedtuple on a collection type using the “collections” module. For example, if you have a list of tuples, you can use the “collections.namedtuple” function to create a namedtuple from them.
What are some of the most common collection types?
There are several common collection types, including lists, tuples, dictionaries, and sets. Each type has its own strengths and weaknesses, and knowing when to use each one is an important part of being a Python programmer.
Lists are the most common collection type in Python. They are mutable, meaning they can be modified after they are created. Lists are also ordered, meaning they maintain the order in which they were created. This makes them ideal for storing data that needs to be processed in a specific order.
Tuples are similar to lists, but they are immutable, meaning they cannot be modified once they are created. Tuples are also ordered, so they can be used for data that needs to be processed in a specific order. However, tuples are often used for data that does not need to be changed, such as a record of finishers in a race.
Dictionaries are unordered collections of data where each piece of data is associated with a key. Dictionaries are often used for storing data that needs to be looked up by a key, such as the definition of a word in a dictionary.
Sets are unordered collections of data where each piece of data can only appear once. Sets are often used for tasks such as removing duplicates from a list or finding the intersection of two lists (the items that appear in both lists).