python aws lambda

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Python function lambda (), filter (), map (), reduce ()

(1) Lambda A lambda is a python that creates an anonymous function in the form of the following syntax: Lambda [arg1[, arg2, ... argn]]: expressionUse examples: #使用法一 fun = lambda x,y:x+y print Fun (1,2) #输出结果为: 3 #使用法二 print (lambda

Python Special Syntax: filter, map, reduce, lambda

(1, 100))Print reduce (ADD1, range (1, 100), 20)# 4950 (Note: 1+2+...+99)# 4970 (Note: 1+2+...+99+20)The function is called on an iteration of the item order in sequence, and if there is starting_value, it can also be called as an initial value, for example to sum the list:4 Lambda:g = lambda s:s + ". FSH"Print g ("haha")Print (Lambda x:x * 2) (3)# # HAHA.FSH# 6This is an interesting syntax that

Python-based-LAMBDA expressions and ternary operations

expressions, which is more convenientAs you can see from the above, lambda expressions can be conveniently used instead of simple functions.Two or three-dollar operation1, see what is ternary operation2, Python's ternary operation format is as follows:result= value 1 if x1>>>deff (x, y):2 returnX-yifX>yElseABS (xy)3 #if x is greater than Y, it returns an X-y value, otherwise it returns the absolute values of X- y4 5>>> F (3,4)#36>>> F (4,3)7>>>de

Special functions and expressions in Python Filter,map,reduce,lambda

right, to reduce the sequence to a single subsequence example, (λx,y:x+y,[1,2,3,4,5]) (1+2)) (+3) +4). If it is initially present, it is placed before the calculated sequence item and is left as the default value when the sequence is empty.1 def Addnum (num1,num2): 2 return num1+num234 list2={1,2,3,4,5,6}5Print Reduce (Addnum, List2)Code interpretation: Calculate the value of 1+2 first, then pass the computed value as the first parameter into Addnum, the second parameter is 3, and so on. Th

Map, reduce, filter, lambda, list derivation in Python

the Python dictionary is useful in some cases, such as when initializing a dictionary.How to use:x = {}X.setdefault (1,0)OUT[15]: 0X[2] = 10XOUT[17]: {1:0, 2:10}X.setdefault (2,1)OUT[18]: 10Alex YuSource: http://www.cnblogs.com/biaoyu/This article is copyright to the author and the blog Park, Welcome to reprint, but without the consent of the author must retain this paragraph, and in the article page obvious location to the original link, otherwise r

Deepin Linux Desktop, screenshot tool Profiling (v) Python-lambda, list, dictionary__linux

Lambda expression, this bird thing is to define a function in one line of statements. Http://woodpecker.org.cn/diveintopython/power_of_introspection/lambda_functions.html >>> def f (x): ... Return x*2 ... >>> F (3) 6 >>> g = lambda x:x*2 >>> g (3) 6 >>> (lambda x:x*2) ( 3) # 6 The List is the most frequently used data type in

Python ternary operations and lambda

One, lambda expression 1 >>> def add (x, y): #定义一个加法函数 2 return x+y #返回两个参数的相加的值 3 4 >>> z=f (3, 4) 5 >>> print (z) 6 7 #调用加法函数返回7 7 >>> Lambda x,y:x+ Y 8 As you can see from the above, lambda expressions can be conveniently used instead of simple functions.Two or three-dollar operation1, see what is ternary operation2, Python's ternary operation format is as fol

Python some special usages (map, reduce, filter, lambda, list deduction, etc.)

Map function: Prototype: Map (function, sequence), which maps a list to another list, How to use: def f (x): Return x**2 L = Range (1,10) Map (f,l) OUT[3]: [1, 4, 9, 16, 25, 36, 49, 64, 81] Reduce function Prototype: reduce (function, sequence, startvalue), which is to summarize a list as an output,How to use: def f2 (x, y): Return X+y Reduce (f1,l) OUT[7]: 45 Reduce (f2,l,10) OUT[8]: 55 Filter function Prototype: filter (function, sequence), which filters o

python-ternary operators and lambda expressions

One or three-tuple operator# when the condition is met 1 o'clock, the res= value is 1; otherwise res= value 2 if Else value 2To illustrate:res=10# Simple If Else statement if abs (res) >0: = 10**2else: Res =0# implemented with ternary operators above if elseifelse 0Second, lambda expression# to define a simple function def func (x, y): return x+y#lambda expression implements Func () function

Python implements the GroupBy function. Grpby = GroupBy (lambda x:x%2 is 1), the result of Grpby ([1, 2, 3]) is {True: [1, 3], False: [2]}

def groupBy (FN): def Go (LST): = {} for in lst: ifelse m.update ({fn (v): [v]}) #如果存在dict, append to the corresponding key, or none if it does not exist, then update a new key to return m return = GroupBy (lambdais 1) grpby ([1, 2, 3]) The Python implements the GroupBy function. Grpby = GroupBy (lambda x:x%2 is 1), the result of Grpby ([1, 2, 3]) is {True: [1, 3], False: [2]}

Python Lambda anonymous function

One of the most important aspects of Python is functional programming (functional programming), where you can transfer functions where parameters and values are transferred.Lambda x:x%3 = = 0and the following equivalence:def by_three (x): return x%3 = = 0We don't need to really give the function a name, it can also work and get the result. This is why the function that lambda creates is an anonymous func

Recursion, lambda, map reduce, and more in Python functions

意结构')Print(Sumtree (L))##间接函数调用defEcho (message):Print(message)defIndirect (Func,args): func (args) indirect (echo,'Shixingwen') Schedule1=[(Echo,'spam! '), (Echo,'ham!') ] for(Func,args)inchSchedule1:func (args)Print('# #间接调用函数')Print(Echo.__name__)## #python function AnnotationsdefFunc (A:'spam', B: (1,3), c:float):returnA + B +CPrint('# #函数注释')Print(Func-)) Zhushi= Func.__annotations__ Print(Zhushi,'\ n') forArgsinchZhushi:Print(Args,'=', Zhushi

Go The lambda,filter,map,reduce,apply in Python

be processed,initval is the initial value 2. Code1 array=[1,2,3,4,5,6,7]2Lambda x,y:x+y3 ans2= reduce (add , array,0)4print ans3. Function prototypes1 defreduce (function,array,initval):2TMP =list (array)3 ifInitval isNone:4Ans = list.pop (0)#take the first element of the list and delete5 Else:6Ans =Initval7 foreachinchtmp:8Ans =function (Ans,each)9 returnans;Ten Oneans2= Reduce (add,array,0)5. Apply1. Basic formAPPLY(FUnCtion,(parameter of f u nCtion ) )is used to re

Lambda, map, reduce, filter in Python

/tuple/string and an initial value, and the return value is numeric.#Coding=utf-8" "Created on 2016-12-14@author:jennifer Project: Usage of filter, map, reduce, lambda in Python" "#1.LAMBDA usage, before the colon is the argument, after the colon is the expression, the return value, the simplest functionPrint[(LambdaX:X*X) (x) forXinchRange (11)]#results: [0, 1,

Python special Syntax--filter, map, reduce, lambda

example, you can use to sum a list:defAdd (x, y):returnX +yPrintReduce (Add, range (1, 11)) Note:1+2+3+4+5+6+7+8+9+10reduce (Add, range (1, 11), 20) Note:1+2+3+4+5+6+7+8+9+10+20 iv.Lambda This is Python support an interesting syntax that allows you to quickly define a single line of the smallest function, similar to the C language of the macro, these functions, called Lambda, is borrowed from Lisp, can be

Python-list.sort && Lambda

Dictionary is a tuple of the list, variable name is a bit ambiguous, here is to express a tuple composed of the list ha.The reason for using dictionary is that the dictionary is converted to list by simulation.Sorts the list and sorts them according to the elements specified by the lambda function.The example is sorted according to the No. 0 element of each tuple, which is also the key of the dictionary;Python

Python Learning note four: lambda expressions and switch

First, the definitionLambda arg1,arg2 ...: returnvalueIi. Examples# !/usr/bin/python def f (x, y ): return x*yprint f (2,3)#6Lambda x,y:x*yprint g (2,3)#6Third, switch of a realization scheme#!/usr/bin/python from __future__ ImportDivision#A=int (raw_input (' Please input NUM1: '))#B=int (raw_input ("Please input num2:"))defJia (x, y):returnx+ydefJian (x, y):returnX-ydefCheng (x, y):returnx*ydefChu (x, y

Python return and lambda functions

Return has two functions:1. Used to return the run result of a function, or to call another function. such as the Max () function>>> def fun (A, B): 2. The sign of the end of the function. As soon as the return is run, the function is forced to end. The program after return will not be executed.>>> def fun (A, B): Return (' Don't run the following statement! ') #函数不在往下运行. If A>b:print (a) >>> fun (8,1) #运行到 return, do not run behind the IF statement ' do not run behind the statement

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