iterable crunchbase

ABS (x)returns the absolute value of a number. parameters can be normal integers, long integers, or floating-point numbers. If the argument is a complex number, returns its modulus. All (iterable)Returns trueif all elements of the iterable are true (or iterable is empty). any (iterable)Returns trueif any of the elem

The Itertools module, introduced after python2.6, contains functions that create effective iterators, which can be used in various ways to iterate over the data.The iterator returned by all functions in this module can be used in conjunction with a For Loop statement and other functions that contain iterators, such as generators and generator expressions.Note the functions in the Itertools module are created with objects and are iterative objects.1, Itertools.count (start=0, Step=1)Creates an it

', ' value2 ', ' 24],[' 4 ', ' name4 ', ' value4 ', 28],[' 6 ', ' name6 ', ' Value6 ', 32],[' 8 ', ' Name8 ', ' Value8 ', 36],[' Ten ', ' Name10 ', ' Value10 ', 40]]----Calculate the combination of weight values per row:160 Features of map, reduce, and filter functions Filter Function: Returns a list of elements that meet the criteria, with a list as a parameter, similar to where in SQL A=1map function: Takes a list as a parameter, handles each element, returns a list of these process

', ' Count ', ' extend ', ' index ', ' Insert ', ' pop ', ' remove ', ' reverse ', ' sort ']Divmod () the respective vendor and remainder1 >>> divmod (20,6) 2 (3, 2)Enumerate () Returns an object that can be enumerated, and the next () method of the object returns a tuple1 >>> test = [' A ', ' B ', ' C ']2 >>> for k,v in Enumerate (test): 3 print (K,V) 4 5 # Output: 6 0 A7 1 B8 2 CEval () evaluates the string str as a valid expression and returns the result of the calculation1 >>> s = "1+2

Divided into class and function 1. Class1.1 Class RangeHelp (__builtins__.range)Class Range (object)| Range (stop)-> Range object| Range (start, stop[, step])-> Range Object| Return a sequence of numbers from start to stop by step.We usually use range in the For loop, but the range here is a class rather than a functionThe python3.x range replaces the xrange, from the original built-in function into the class For NUM in range (4): print (num, end = ')Output 1.2 class Filter Class Filter

1. Filter (function,iterable) Reference Construct a list from those elements of iterable for which function returns TRUE. Iterable May is either a sequence, a container which supports iteration, or an iterator. If iterable is a string or a tuple, the result also have that type; Otherwise it is always a list. If funct

filter, map, reduce, and zip are built-in methods for sequence data types in Python. Noun interpretation: The iterable in this article refers to an iterative object, including sequence and iterator, and other container with an iterative nature. 1. Filter (function, iterable) Filter works by using the first parameter object (function or none) to iterable the se

iterative variable that generates an iterative sequence that results in the same result as the following generator code fragment:1 >>> def f (iterables): 2 for x in Iterables:3 for y in x:4 yield y 5 6 >>> test = f (' ABCDEF ') 7 >>> test.next () 8 ' A ' 9 >>> from itertools import chain12 >>> test = Chain.fro M_iterable (' ABCDEF ') >>> test.next () ' A 'Here's a description:Combinations (iterable, R):Creates an iterator tha

, 10, 10, 10, 10, 10, 10] Crossing contrast, you know the difference between the two. The original map is the upper and lower operations, reduce is a cross-element operation. The authoritative explanation comes from the official website: The code is as follows: Reduce (function, iterable[, initializer])Apply function of arguments cumulatively to the items of iterable, from left to right, so as to reduce t

Understand Python iterators What is iteration? Objects that can directly act on the for loop are collectively referred to as Iterable objects ).The object that can be called by the next () function and continuously return the next value is called an Iterator ).All Iterable can be converted to Iterator through the built-in function iter. For the iterator, it is enough to have a _ next. When you use the for a

; List1 = [1, 2, 3, 4, 5, 6, 7, 8, 9]>>> List2 = [9, 8, 7, 6, 5, 4, 3, 2, 1]>>> Map (lambda x, y: x + y, list1, list2)[10, 10, 10, 10, 10, 10, 10, 10] You can see the differences between the two. In the past, map was an upper and lower operation, while reduce was an operation on elements one by one. Authoritative explanations come from the official website: Copy codeThe Code is as follows:Reduce (function, iterable [, initializer])Apply function of tw

= [1,2,3,4,5,6,7,8,9] >>> list2 = [9,8,7,6,5,4,3,2,1] >>> map (Lambda x,y:x+y, list1,list2) [10, 10, 10, 10, 10, 10, 10, 10, 10] Reader contrast, you will know the difference between the two. The original map is up and down, and reduce is the horizontal element of the operation. The authoritative explanation comes from the official website: Copy Code code as follows: Reduce (function, iterable[, initializer]) App

with no content in parentheses, create an empty list parentheses containing data items separated by commas, creating a non-empty list You can also use List () to create a list: Returns an empty list when no arguments are specified Returns a shallow copy of this parameter when using list as a parameter Attempt to convert a given object to a list type when other parameters are in use 1.3.2 List Index and fragmentation Grammar Description LST[1] Reading a seco

Brief introduction Official Description: Functional tools for creating and using iterators. Is the function used to create an efficient iterator. Itertools.chain (*iterable) Returns multiple sequences as a single sequence.For example: Import itertoolsfor itertools.chain (' I ', ' love ', ' Python '): Print each Output: Ilovepython Itertools.combinations (iterable, R) Returns the "combination" of the spe

? Check the code: The code is as follows: >>> List1 = [1, 2, 3, 4, 5, 6, 7, 8, 9]>>> List2 = [9, 8, 7, 6, 5, 4, 3, 2, 1]>>> Map (lambda x, y: x + y, list1, list2)[10, 10, 10, 10, 10, 10, 10, 10] You can see the differences between the two. In the past, map was an upper and lower operation, while reduce was an operation on elements one by one. Authoritative explanations come from the official website: The code is as follows: Reduce (function, iterable