aws lambda function python

Python has a very handy and efficient sorting function, and here's how to sort list,dict sort/sorted.1. Sort the second value in list of tuples with list.sort/sorted>>> Import operator>>> a=[(' A ', 3), (' B ', 2), (' C ', 1)]>>> import operator>>> l=[(' a ' , 3), (' B ', 2), (' C ', 1)]>>> L.sort (Key=operator.itemgetter (1)) >>> l[(' C ', 1), (' B ', 2), (' A ', 3)]> >> sorted (L, Key=operator.itemgetter

Several of the functions built into Python are simple examples of filter, map, reduce, and lambda.#!/usr/bin/env python#_*_coding:utf-8_*_#filter (function, sequence):#a function (item) is executed on item in sequence, and the item that executes the result of true consists o

One or three-dollar operationFormat: Object = value 1 if condition else value 2 assigns value 1 to object when condition is set, and vice versa assigns value 2 to object>>> name = 1 if True else 2>>> name1>>> name = 1 if False else 2>>> name2General formula: Code 1 if condition else code 2 when the condition is set to execute if the preceding code 1, is not established then the code is executed 2Second, lambda expressionFormat:

: #800000" > ' : " macbook Pro ", " Price ": 10000.0, " count " : ()] View Codesecond, built-in functions and lambdaPreviously learned functions are the function name, the function name is used to bind the value, and the definition of the variable name, when creating a function, when the function name is bound

: + forIinchRange (10): -n = random.randint (0, 10000) $ Print('Put Task%d ...'%N) $ task.put (n) - - #To read the result from the result queue: the Print('Try Get Results ...') - forIinchRange (10):WuyiR = Result.get (timeout=10) the Print('Result:%s'%R) - Wu #Close: - Manager.shutdown () About Print('Master exit.')Operation Result:C:\Users\Lucky, m\python>496234604774 4301 9120 7183 491531739138579

principle of the adorner implementation, and all closure problems can be solved by object-oriented classes, and the simple implementation of the sum method is chosen.def is_jpg (name): "" " determines whether the suffix of the file is JPG, if not add the JPG" "" def wrapper (filename): If filename.endswith (name) : return filename else: return filename + name return wrapperif __name__ = = ' __main__ ': f = is_jpg (' . jpg ') print (f (' Beimenc

Python anonymous functions lambda and switch implementation, pythonlambda 1. lambda syntax is similar to es6 arrow Function >>> show=lambda x,y: x * y>>> show( 10, 20 )200 2. Recursive factorial >>> def fab( n ):... if n == 0:... return 1... else:...

This article mainly introduces the use of defaultdict and lambda expressions in Python, which is shared here to everyone who needs to refer to the following This example describes the use of defaultdict and lambda expressions in Python. Share to everyone for your reference, as follows: As you can see from the tutorial

(function, sequence, starting_value)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:>>> def add(x, y): returnX + y>>>Reduce (Add, range (1, One)) -Note1+2+3+4+5+6+7+8+9+Ten）>>>Reduce (Add, range (1, One), -) theNote1+2+3+4+5+6+7+8+9+Ten+ -）[4] LambdaThis is a fun syntax for

Lambda expressions, also known as anonymous functions, are ' mini-editions ' of normal functionsThe format of the lambda expression:Lambda parameter: An expressionFunc1 = Lambda x:x+1Func1 (10)>>>11As can be seen from the above example, the lambda function does not need to m

):The call function is iterated over the item order in sequence and, if there is a starting_value, it can be invoked as an initial value, for example, to sum the list: >>> def Add (x,y): return x + y >>> reduce (add, range (1, one)) 55 (note: 1+2+3+4+5+6+7+8+9+10) gt;>> reduce (Add, range (1, a) 75 (note: 1+2+3+4+5+6+7+8+9+10+20) 4.lambda:This is a very interesting syntax that Python supports, whi

1.yield meaning of production and generation, the function with yield in Python is called the Generator (Generator)The larger the #生成10000个元素的List value of the ' for I in range ', the larger the memory consumed in the run will be 10000 for J in Xrange (10000) #xrange返回的不是List, but a Iterable object Each iteration returns the next value, taking up a very small amount of memory space "Def Readfilebyyield (XP

the sequence (or a list of tuples if more than one sequence).Incoming parameter: function or none, sequenceFunction: Executes the parameters in the sequence in the function as a parameter, the result of which is the value of the sequence passed in the function to execute the result, is a sequence. If function is none,

One of the interview questions.Does the following code work?L = [1,2,3,4,5]for i in Range (0,len (l)): print I if l[i]% 2 = = 0: del l[i]print lResults:Traceback (most recent): File "D:\1.py", line 3, Ah, because with the execution of the DEL () statement, the list has fewer elements, but for has been set [0,5]:i = 0,l[i] = 1 not even skippedi = 1,l[i] = 2 is even, L = [1,3,4,5]i = 2,l[i] = 4 is even, l=[1,3,5]i = 3,l[i] out of bounds, list index out of range.Does the following cod

(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# 6