python generator comprehension

Python yield Introduction What is a generator function?A generator function is a function that remembers where the last function returned, and saves some states of the function at that time, such as variables, objects in the function field, and so on, which can then be executed the next time the function is executed.The builder owns the next method and behaves e

Python learning-iterator generator decorator, python Learning 1. iterator An iterator is a way to access collection elements. The iterator object is accessed from the first element of the set until all elements are accessed. The iterator can only go forward without moving back. One advantage of the iterator is that it does not require that all elements in the e

: >>> [x * x for x in range(1, 11) if x % 2 == 0][4, 16, 36, 64, 100] 小结:The use of list generation, can be generated quickly list , can be deduced from one list another list , and the code is very concise. 2. Generator ???? With list generation, we can create a list directly. However, with memory limitations, the list capacity is certainly limited. Also, creating a list of 1 million elements takes up a lot of storage space, and

This article mainly introduces Generator and yield in Python. This article describes list derivation and Generator expressions, Fibonacci series, Generator, coroutine and yield expressions, and Generator and coroutine usage, for more information, see List derivation and

This article introduces the python iterator and generator in detail. 1. what is an iterator? Let's talk about iteration first. iteration is a process that repeats many times, for example, for loop. The for loop can iterate on all objects with iter methods. what is the iter method? Whether an object can be iterated depends on whether the object has an iter method. when the object's iter method is called, an

This article mainly introduces the yield and generator of python in detail, and provides an in-depth study of the python generator and yield keywords. For more information, see PrefaceIt is hard to say that you will do things you have never used and that you have never understood. Although I have been familiar with the

Reference: "Analysis of Python yield usage", "Python xrange and range", etc.A function with yield is a generator, which, unlike a normal function, generates a generator that looks like a function call, but does not execute any function code until it calls next () (which is automatically called next () in the For loop)

Both the iterator and generator are unique concepts in Python. The iterator can be considered as a special object. Each time you call this object, it will return its next element. In terms of implementation, an iteratable object must be an object that defines the _ iter _ () method, and an iterator must define the _ iter _ () method and next () method () method object. Example Old rule: first run the follo