Use the generator to rewrite the function method that directly returns the list. The generator returns the list.
This article is a learning note in the article "objective Python", recording the sample code and ideas.
If a function produces a series of results, the simplest way is to put these results in a list and return them.
For example, we want to locate the position of the first letter of each word in t
Format comparison:List imprehensions Format: [Statement for ...]Generator format: (Statement for.. In.. )The difference: The list stores the specific content, each element occupies space, when the need to store n data, occupy a large spaceThe generator store is an expression that calculates the next element by calculation and therefore occupies less space.One, 2 kinds of input methods#!/usr/bin/python#Gener
Analysis of the day4 iterator and generator, and analysis of the day4 Generator
1. iterator
Iterator isOne way to access a set Element. In fact, the iterator isA listIt is only special when accessing collection elements. It has some specific functions and memory functions, and can remember the user's last state.An iterator is a way to access collection elements.And,The iterator can only move forward, not ba
PHP5.5 detailed examples of the usage of the iteration generator, php5.5 Generator
This example describes the usage of the PHP5.5 iteration generator. We will share this with you for your reference. The details are as follows:
PHP5.5 introduced the concept of iteration generator. The concept of iteration has long been
For details, please refer to:http://blog.csdn.net/fengshizty/article/details/43086833Follow the above blog address to download the generator dependency package:Here is my configuration file:XML version= "1.0" encoding= "UTF-8"?>DOCTYPE generatorconfiguration Public "-//mybatis.org//dtd mybatis Generator Configuration 1.0//en" "/http Mybatis.org/dtd/mybatis-generator
Python -- 4, iteratable object, iterator, generator, python -- 4 Generator
Iterable
Objects that can directly act on the for loop are collectively called iteration objects.
Data types include list, dict, tuple, set, str, and generator (including generators and generator functions with yield ). Including ordered and uno
Generator:(in Python, this side loop computes the mechanism, called the generator: Generator)ways to create generator:1. Turn the list generation [] into () and create a generatorExample:The next return value can be obtained by next () generatortraversing words can be used directly:For I in G:print (i)2. Change print (
Python3 iterator and generator, python3 Generator
Pythom3 iterator and GeneratorIterator'''The iterator is one of the most powerful functions of python and a way to access collection elements.The iterator is a location object that can remember to traverseThe iterator object is accessed from the first element of the set until all elements are accessed. The iterator can only move forward without moving back.T
Python generator, iteratable object, iterator difference and connection, python Generator
What is the relationship between generators, iteratable objects, and iterators?
Use a picture to summarize:
1. Generator
Definition Generator
Method 1:
// Unlike the list generator gen
First, generator definitionBy generating an expression from a list, we can create a list directly. However, with memory limitations, the list capacity is certainly limited. So, if the list element can be calculated according to an algorithm, can we continue to calculate the subsequent elements in the process of the loop? This eliminates the need to create a complete list, which saves a lot of space. In Python, this side loop computes the mechanism, ca
Python iterator and generator, python Generator
I. iterator)
In Python, A for loop can be used for any type in Python, including list and ancestor. In fact, a for loop can be used for any "iteratable object", which is actually an iterator.
The iterator is an object that implements the iterator protocol. In Python, The iterator Protocol means that objects with the next method will move forward to the next re
Python iterator, generator and decorator, and python generator Decoration
1. Principles and usage of the iterator:1> principle:An iterator is a way to access a set element. The iterator object is accessed from the first element of the set until all elements are accessed. The iterator can only move forward and not backward, but that's nothing. People seldom step back on the iteration process. In addition, th
Self-compiled DAL three-tier code generator and dal three-tier Code Generator
(1) Create your own solution directory structure as follows:
(2) Compile the Code:
(To use a database, we recommend that you create any database)
The code for creating the configuration file App. config is as follows:
The MainWindow. xaml code is as follows: (change the code in the Grid in MainWindow. xaml)
The MainWindow. xa
Python list derivation and generator expression usage example, python Generator
This article describes the Python list derivation and generator expression usage. We will share this with you for your reference. The details are as follows:
Like the list,List DerivationIt is also represented by square brackets [] and uses a abbreviated for loop. The first part is an
GeneratorGenerator function: The function body contains the yield keyword, the result of which the function executes is the generator, which is essentially an iterator.deffoo ():Print('First ------>') yield1Print('Second----->') yield2Print('Third----->') yield3Print('fouth----->') G=foo () fromCollectionsImportIteratorPrint(Isinstance (g,iterator))Print(g)Yield Features:1. Similar to return, can return a value, but the difference is that the
Additional example of listening file enddeftail (): F= Open ('file','R', encoding='Utf-8') F.seek (0,2) whileTrue:line=F.readline ()ifLine :yield LineImportTime Time.sleep (0.1) G=tail () forIinchg:Print(I.strip ())Send methodSend method:deffunc ():Print('*'*10) A=yield5Print(a)yield10g=func ()Print(g.__next__())Print(G.send ('Wenwen'))#print (g.__next__ ())From which yield begins to execute, send passes a value to the yieldSend cannot be used in the first touch generatorThe number of yield
Python masters road [9] python-based iterator and generator, python GeneratorIterator and Generator
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 move forward without moving back, but there is nothing to do with it, because people seldom go back on the way of iteration.
10 free icon generator webpage designer, free enterprise icon Generator
In this presentation, we provide the best web designer 10 icon generator. These icon generators are free to use, and some are with advanced features that will help you generate compelling and attractive web pages for your website.
In order to pack them up, they can download them freely. Let's
PHP Generator Simple instance, PHP generator
Generally when you iterate over a set of data, you need to create a data, assuming that the array is large, it consumes a lot of performance, or even causes memory shortage.Copy the Code code as follows:Fatal error:allowed memory size of 134217728 bytes exhausted (tried to allocate + bytes) in E:\php\test\index.php on L INE 5Range (1, 100000000);
PHP5.5 implemen
The Automatic Generator method is used in ionic2. The ionic2 generator method
Ionic generator is a command line function. ionic2 automatically helps us create applications, saving a lot of time and increasing our speed to develop a key part of a project.
Ionic generator allows us to automatically create the following p
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