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Advanced topics in the 19th chapter of the Python Learning manual 4th

" " Date: September 5-September 30 Requirements: 1. Summary of the book contents, finishing in the blog Park notes upload 2. After all the exercises in the course Note: "#" After the addition of the notes (42 pages per day, you can guarantee to read this book at the end of the month) "Key Notes" "chapter Exercises"-Heading 1, level two headings- Heading 2, Notes outline title, exercise title-Bold, 16px"Key

Function objects in the python advanced tutorial (functions are also objects)

This article mainly introduces the function objects in the python advanced tutorial. Function objects refer to functions as well as objects. This article also describes lambda functions, functions as parameter passing, map () functions, filter () functions, reduce () functions and other content. If you need them, you can refer to the idea that everything is an object. Let's look back at the function ). A fu

Python advanced features-Slice ),

Python advanced features-Slice ), Define a list: 1 L=['haha','xixi','hehe','heihei','gaga'] Take the first three elements: >>> L[0],L[1],L[2]('haha', 'xixi', 'hehe') This method is a bit silly, because if there are many elements, we need to take the first N of them. What should we do? You may think of loop: >>> r=[]>>> n = 3>>> for i in range(n):... r.append(L[i])...>>> r['haha', 'xixi

Python advanced programming for object-oriented steps

) print (' Exc_tb ', EXC_TB) Returntruewithfoo () asobj: #res =foo (). __enter__ () #obj =res print (' Withfoo Self code block ', obj) raisenameerror (' name not defined ') print (' ************************************ ') print ('------> ') The three parameters in __exit__ () represent the exception type, outliers and traceability information, and the code block in the WITH statement has an exception, and the code after the with cannot be executed, but the code outside the With statement blo

Python's Advanced Adorner

Functions are also objectsTo understand the Python adorner, first understand that in Python, a function is also an object, so you can think of the function name when defining a function as a reference to a function object. Since it is a reference, you can assign a function to a variable, or you can pass or return a function as a parameter. Functions can also be defined in the function body.Adorner essenceYo

The advanced function of Python Learning (II.)

encapsulated in a lambda expression. The NBSP;NBSP;NBSP;NBSP;3.LAMBDA expression is a function of sketching. Allows the definition of a function to be embedded within the code. Example: f=lambdax,y: x+y #x, y is a parameter, X+y is an expression, and then assigns a value to Fprint (f ) #返回f的内存地址 print (f ()) #返回表达式的值 l=[' Alex ', ' Wupeiqi ', ' Yuanhao ']res=map (lambda x:x+ ' _SB ', l) print (res) print (list (res)) nums=[2,4,6,9]res1= map (lambdax:x**2,nums) print (list (res1)) Recursiv

Python's object-oriented advanced step

/aa.pyFrom LIB.AA Import cobj = C () print obj.__module__ # output LIB.AA, i.e.: Output module print obj.__class__ # output LIB.AA.C, i.e. output class13 __del__destructor, which automatically triggers execution when the object is freed in memory.Note: If the resulting object is just a Python program-level (user-level), then no need to define __del__, if the resulting object will also initiate system calls to the operating system, that is, an ob

python-Adorner Advanced

additional functionality to an already existing object.adorners in PythonIn Python, the adorner implementation is very convenient.The reason: functions can be thrown away.function as an object:A.可以被赋值给其他变量,可以作为返回值B.可以被定义在另外一个函数内Def:An adorner is a function, a function used to wrap a function, the adorner is called when the function declaration is completed, a modified function object is returned after the call, the original identifier is re-assigned,

Python Object-oriented advanced

method is generally not defined, because Python is a high-level language, and programmers do not need to care about the allocation and deallocation of memory as this work is done with the Python interpreter, so the destructor is called by the interpreter automatically when it is garbage collected Triggers the execution of the. The __call__ object is appended with parenthes

Python Advanced 07 Function object

parameters x, Y, and returns X+Y.Reduce passes the first two elements (1 and 2) in a table to a lambda function, resulting in 3. The return value (3) is used as the first parameter of the lambda function, and the next element in the table (5) acts as the second parameter of the lambda function, making the next call to the lambda function, resulting in 8. Call the lambda function in turn, each time the first parameter of the lambda function is the result of the last operation, and the second arg

13. Python's object-oriented advanced article

1. Static methodA static method is a method that can be called directly by a class, similar to a static property, which can be called directly by a class or by an object. Using the adorner @staticmethod in Python to assert that a method is a static method, the instance code for the static method is as follows:1 classGrade (object):2 def __init__(self,name,count):3Self.__name=name4Self.__count=Count5@staticmethod#assert as a static method6 def

Python Advanced 07 Function object

function object. He is also a function object that acts as a parameter to multiple objects. If the function object returns True, the element being changed is stored with the returned table, and filter filters the data by the function that is read in. Similarly, in Python 3.x, filter returns not a table, but a loop object.The filter function uses the following example:def func (a)If a > 100:Return TrueElseReturn FalsePrint filter (func,[10,56,2333])Re

Advanced features of getting started with Python

Advanced features of getting started with Python When learning advanced features, you may feel a little difficult. these new features have never been met before in c/c ++, c/c ++ does not support such simple but powerful syntax. Secondary slice When it comes to slicing, we can think of splitting a piece of radish. we can use this to compare the slicing here. I

Python-shutil Advanced file Operations

Brief introductionThe Shutil module provides advanced operations for a large number of files. Specifically for file copying and deletion, the main functions are directory and file operations, as well as compression operations. The operation of a single file can also be found in the OS module.Note Even a higher-level file copy function (Shutil.copy (), shutil.copy2 ()) cannot copy all of the file's metadata. This means that the owner and group of the f

Python tkinter event advanced usage instance, pythontkinter

Python tkinter event advanced usage instance, pythontkinter This example describes the advanced usage of Python tkinter events. We will share this with you for your reference. The details are as follows: Let's take a look at the running effect: Complete instance code: # -*- coding:utf-8-*-#! python3from tkinter import

Advanced usage of the Urllib library for the introduction of Python crawlers

is used is really small, as mentioned here.1 Import Urllib2 2 request = Urllib2. Request (URI, data=data)3Lambda'PUT'# or ' DELETE '4 response = Urllib2.urlopen (Request)5. Using DebuglogYou can use the following method to open the debug Log, so that the contents of the transceiver will be printed on the screen, easy to debug, this is not very common, just mention1 Import Urllib2 2 HttpHandler = urllib2. HttpHandler (debuglevel=1)3 httpshandler = urllib2. Httpshandler (debuglevel=1)4 opener =

Python Advanced (35)-fiddler command line and HTTP breakpoint debugging

Python Advanced (35)-fiddler command line and HTTP breakpoint debugging one. Fiddler built-in commands?? In the previous section (using Fiddler for packet Capture analysis), the Web session (which is not the same concept as what we normally call a session) is described here, and each HTTP request is called a session. interface, you can see all the HTTP requests that Fiddler crawled. In order to manage all s

35.python full Stack Road: Facing the object advanced

): Print (key, value) def __delitem__ (self, Key): print (' simulated delete succeeded!! ') obj = Foo () print (obj.__dict__) # View the object encapsulated field ' ' {' name ': ' Alex ', ' gender ': ' Female '} ' Print (foo.__dict__) # View the members of the class ' ' {' __module__ ': ' __main__ ', ' __doc__ ': ' \ n I am the comment of the class \ n ', ' __init__ ':    6.4 Similar to string, list, why can we use for loop this object?     In fact: The __iter__ method in the default execution

The advanced object-oriented learning of Python learning

(item) Obj=foo (Obj.x=1print) (obj.__dict__) Delobj.xprint ( obj.__dict__) OBJ.ANBSP;=NBsp;1obj.b=2print (obj.__dict__) delobj.aprint (obj.__dict__) print ( The Obj.aaaaaaaaaexec function extracts the Python code from the string to execute an example: s= "Print (x)" g={' x ': 100000000}l={' x ': 1}exec (s,g,l) s= "y=2 "EXEC (s,g,l) print (g) Print (L)二、二次 Processing Standard ClassExample:(): (itemtag=): ().(item). Tag=tag (P_object): (p_object): (%p_

Python Advanced (35)-fiddler command line and HTTP breakpoint debugging

Python Advanced (35)-fiddler command line and HTTP breakpoint debugging one. Fiddler built-in commands?? In the previous section (using Fiddler for packet Capture analysis), the Web session (which is not the same concept as what we normally call a session) is described here, and each HTTP request is called a session. The interface is able to see all the HTTP requests that Fiddler crawls. In order to manage

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