


Iterator (iterator) is a lazy iterable object (lazy iterable). The range function is a lazy iterable object in Python 3. So, is range an iterator? Why.
TLNR: Range objects in Python 3 (xrange objects in Python 2) are lazy, but range objects are not iterators.
Yes , this is very confusing
When talking about iterators (iterators) and iterable objects (iterables) in Python, you are likely to hear someone repeat that range is an iterator. misunderstanding. I think this is a very serious misunderstanding. If you think that range objects are iterators, then your mental model of "how iterators work" is not clear enough. In a sense, ranges and iterators are both "lazy", but they achieve "laziness" in quite different ways.
What is an iterator
In Python, An iterable is anything you can iterate over, and an iterator is what you actually iterate over.
Iter-ables are able to be iterated over. Iter-ators are the agents that perform the iteration.
You can use the iter function to get an iterator from any iterable object:
Once you have With an iterator, the only thing you can do with it is get its next element:
If there is no more If there are too many elements, a stop iteration exception will be thrown:
##All iterators are iterable objects , meaning you can get an iterator from an iterator, so you can iterate over an iterator:
#It should be pointed out that iterators are stateful, after looping through an iterator once, if you try to loop again, it will be empty:
##In Python 3, enumerate, zip, reversed<span style="color: rgb(103, 103, 103);"></span>
and some other built-in functions return iterators:
generator (whatever comes from the generator function or a generator expression) is a simple way to create an iterator:
I often say that iterators are lazy A one-time iterable object. "Lazy" because they only count items in a loop, "single-use" because once an element is "consumed" from an iterator, the element is gone forever.
What is range
The range object in Python 3 (Python 2) can be looped like any other iterable object:
Because range is an iterable object, So you can get an iterator from it:
But the range object itself is not an iterator, we cannot call it on the range object next:
Unlike iterators, we can iterate over a range object without "consuming" it:
If we do this using an iterator, we won’t get any elements the second time through the loop:
Zongshang, and <span style="color: rgb(103, 103, 103);">zip</span>
, <span style="color: rgb(103, 103, 103);">enumerate</span>
, or <span style="color: rgb(103, 103, 103);">generator</span>
objects are different, and the range object is not an iterator.
So, what exactly is range?
The range object is in a certain It is "lazy" in the sense that it does not generate every number it contains when it is created. Instead, it returns these numbers to us when we need them in the loop.
The following is a range object and a generator (a kind of iterator):
##Unlike generators, range objects have length:
and can be indexed:
Unlike iterators, you can ask them whether they contain an element without changing their state:
#If you want a description of range objects, you can call them <span style="color: rgb(103, 103, 103);">Lazy Sequences</span>
, range is a sequence (such as list, tuple and string), but it does not contain any content in memory, but answers the question through calculation.
#Why this distinction is important
If I tell you that an object is an iterator, you will know that when you call the iter function on this object, you will always get the same object (by definition):
Make sure you can call the next function on this object, because the next function can be called on all iterators:
And you will know that when iterating over it, the elements will be consumed from the iterator, sometimes this feature can come in handy Usage (handling iterators in a special way):
So although it seems that "lazy iterable object" and " The difference between "iterator" is subtle, but these terms do mean different things. While "lazy iterable object" is a very general term with no specific meaning, the word "iterator" means an object with very specific behavior.
Summary
If you know you can loop over an object, it is an iterable (iterable ).
If you know that the object you are looping over is calculated while looping, then this is a lazy iterable object (lazy iterable).
If you know you can pass something to the next function, it is an iterator (which is the most common lazy iterable object).
If you can loop multiple times without "exhausting" it, it's not an iterator. If you can't pass something to the next function, then it's not an iterator. Python 3's range objects are not iterators. If you are instructing someone about range objects, please do not use the word "iterator". This is very confusing and may lead others to start abusing the word "iterator"
Related recommendations:
Detailed description of iterators
Understanding of iterable objects and iterator objects in Python
The above is the detailed content of Discussion on whether the range object in Python is an iterator. For more information, please follow other related articles on the PHP Chinese website!

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

SublimeText3 Linux new version
SublimeText3 Linux latest version

Atom editor mac version download
The most popular open source editor

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

SublimeText3 Mac version
God-level code editing software (SublimeText3)