What are the differences between these built-in Python data types: list, sequence and slice? As I see it, all three essentially represent what C++ and Java call array.
Python has the following built-in sequence types: lists, bytearrays, strings, tuples, range, and bytes.
Like a string, a list is a sequence of values. In a string, the values are characters; in a list, they can be any type. The values in list are called elements or sometimes items.
Python slice() Function The slice() function returns a slice object. A slice object is used to specify how to slice a sequence. You can specify where to start the slicing, and where to end. You can also specify the step, which allows you to e.g. slice only every other item.
Python supports six different types of sequences. These are strings, lists, tuples, byte sequences, byte arrays, and range objects.
You're mixing very different things in your question, so I'll just answer a different question
You are now asking about one of the most important interface in Python: iterable
- it's basically anything you can use like for elem in iterable
.
iterable
has three descendants: sequence
, generator
and mapping
.
A sequence is a iterable with random access. You can ask for any item of the sequence without having to consume the items before it. With this property you can build slices
, which give you more than one element at once. A slice can give you a subsequence: seq[from:until]
and every nth item: seq[from:until:nth]
. list
, tuple
and str
all are sequences.
If the access is done via keys instead of integer positions, you have a mapping. dict
is the basic mapping.
The most basic iterable is a generator. It supports no random access and therefore no slicing. You have to consume all items in the order they are given. Generator typically only create their items when you iterate over them. The common way to create generators
are generator expressions. They look exactly like list comprehension, except with round brackets, for example (f(x) for x in y)
. Calling a function that uses the yield
keyword returns a generator too.
The common adapter to all iterables is the iterator. iterators
have the same interface as the most basic type they support, a generator
. They are created explicitly by calling iter
on a iterable and are used implicitly in all kinds of looping constructs.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With