function again with the result of the last call to Function. The first call to function, if supplied with the initial parameter, calls function with the first element in sequence and initial as a parameter, otherwise the function
First, define a basic function as an example:1 def Print (msg): 2 Print (msg)The function name is print, the parameter has one, for MSG, the function body calls the print system function, Output MSG.The next step is the variable parameter, which is a special feature, lik
() function returns the maximum value of the sequence S. When given a column parameter, the MAX () function returns the maximum parameter for a given parameterMin (S[,args ...])When given only one parameter, the min () function returns the minimum value of the sequence S. When given a column parameter, the min () function
calls to the n n Iterato R. This have the effect of dividing the input into n-length chunks.
zip()Should only is used with unequal length inputs if you don ' t care about trailing, unmatched values from the longer iterab Les. If Those values is important, use itertools.zip_longest() instead.
zip()In conjunction with the * operator can is used to unzip a list:
>>>
>>> x = [1, 2, 3]>>> y = [4, 5, 6]>>> zipped = Zip (x, y) >>> list (zipped)
paradigm-oriented process for solving problems, using functions to compare multiplefunction is a kind of encapsulation supported by Python, we can decompose complex tasks into simple tasks by splitting large pieces of code into functions through a layer of function calls, which can be called process-oriented programming. fun
reasons are as follows:
When defining a Python function, the value of the default parameter L is calculated, that is, []. Because the default parameter L is also a variable, it points to the object [], every time you call this function, if the content of L is changed, the content of the default parameter will change next time. It is no longer the [] of the
function is a kind of encapsulation supported by Python, we can decompose complex tasks into simple tasks by splitting large pieces of code into functions through a layer of function calls, which can be called process-oriented programming. function is the basic unit of proce
incoming string on the standard display device"Print strReturnSecond, function callDefines a function that gives the function a name, specifies the parameters contained in the function, and the code block structure. Once the basic structure of this function is complete, you
integers, strings, and tuples. such as fun (a), passing only a value, does not affect the A object itself. For example, in Fun (a) to modify the value of a, just modify another copy of the object, does not affect the a itself.
mutable types: references such as C + + are passed, such as lists, dictionaries. such as Fun (LA), is the real pass LA, the modified fun outside of LA will also be affected.
Everything in Python is an object, strictl
draw a red circle? Fortunately, the function is written by draw_circle a senior Python developer, which provides default parameters in addition to the X,Y,R 3 required parameters linecolor=0x000000,fillcolor=0xffffff,penwidth= 1, if we change the default parameters, we can not only draw a red circle, but also control the line thickness and fill color of the circle:>>> draw_circle(0, 0, 20, linecolor=0xff00
1. Function nestingNested definition of a function: Within a function, another function is definedNested invocation of a function: in the process of invoking a function, another function
parameters) as parameter groups to the function. Form: func (* tuple_grp_nonkw_args, ** dict_grp_kw_args ). Therefore, the complete Syntax of function calls allowed in python is: func (positional_args, keyword_args, * tuple_nonkw_args, ** dict_grp_kw _ args)
Def statement creation function:def function_name(arguments
where the variable p resides
In this code, Python is actually now executing an object in memory that creates a 1 and points p to it. When performing an addition operation, a new object of 2 is actually obtained with the addition operation, and P is pointed to the new object. Visible throughout the execution, the change is the memory address that P points toroot cause of default value traps for function pa
Getting started with Python-using the function to advertise the installation of PythonThis article is mainly suitable for people with certain programming experience, at least master a programming language to view.Most of the examples are simple to understand English words can understand the level, mainly speaking of Python's overall use of methods and structure. Not a high-level design, it will help you get
The generator is an iterator, and it is not just an iterator. However, there are not many uses outside the iterator, so we can say it out loud: the generator provides a convenient way to customize the iterator.
This is the last article in the functional programming guide. It seems that it took a week to write it well ......
For reprint, please specify the original author and original address :)
4. Generator 4.1. Introduction to Generator
First, be sure that the generator is an iterator. The ge
actually creates a 1 object in memory now and points p to it. When the addition operation is performed, a new object of 2 is actually obtained through the addition operation, and P points to the new object. Visible in the entire execution process, the change is the memory address that P points toRoot cause of the default value trap for function parameters
One sentence to explain: The parameter default value of the
affected
Everything in Python is an object, strictly meaning we can't say value passing or reference passing, we should say immutable objects and pass mutable objects.Python-Pass Immutable object instance#!/usr/bin/python3defchangeint():=2changeint(b) print()# result is 2 The instance has int object 2, the variable that points to it is B, and when passed to the Changeint function, the va
This article mainly introduces the Python function Programming Guide (3): Iterator details. This article describes the Iterator overview, the use of Iterator, generator expression (Generatorexpression) and ListComprehension. For more information, see
3. iterator
3.1. Iterator overview
An iterator is a way to access elements in a set. The iterator object is accessed from the first element of the set until a
Python functions of the logFirst, the Cognition function1. What is a functionFunctions, function, colloquially, functions, functions are used to encapsulate a particular function, for example, in Python, Len () is a function, and Len () is a
function #作用: encapsulation and reuseMathematical definition: y=f (x), Y is the function of x, and X is the independent variable. Y=f (x0, x1, ..., xn)Python functionsA statement block, function name, parameter list consisting of several statements, which is the smallest unit of the Organization CodeComplete a certain
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.