Operating environment for this tutorial :windows7 system ,Python3 edition ,Dell G3 computer .

Built in function classification :

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Mathematical operation (7 individual )

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Type conversion (24 individual )

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Sequence operation (8 individual )

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Object operation (7 individual )

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Reflection operation (8 individual )

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Variable operation (2 individual )

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Interoperation (2 individual )

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File operation (1 individual )

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Compile execution (4 individual )

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Decorator (3 individual )

Mathematical operation

abs: Find the absolute value of a value

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>>> abs(-2)

2

pmod: Returns the quotient and remainder of two numeric values

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>>> pmod(5,2)

(2, 1)

>> pmod(5.5,2)

(2.0, 1.5)

max: Returns the maximum value of an element in an iteratible object or the maximum value of all parameters

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>>> max(1,2,3) # afferent 3 Parameters take 3 Whichever is greater

3

>>> max('1234') # afferent 1 Iteratible objects , Take its maximum element value

'4'

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>>> max(-1,0) # The value defaults to the larger value

0

>>> max(-1,0,key = abs) # Absolute value function passed in , Then the absolute value of all parameters will be calculated and the larger one will be taken

-1

min: Returns the minimum value of an element in an iteratible object or the minimum value of all parameters

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>>> min(1,2,3) # afferent 3 Parameters take 3 Whichever is smaller

1

>>> min('1234') # afferent 1 Iteratible objects , Take the minimum element value

'1'

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>>> min(-1,-2) # The value defaults to the smaller value

-2

>>> min(-1,-2,key = abs)  # Absolute value function passed in , Then the absolute value of all parameters will be calculated and the smaller one will be taken

-1

pow: Returns the power of two numeric values or their modulo values with a specified integer

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>>> pow(2,3)

>>> 2**3

>>> pow(2,3,5)

>>> pow(2,3)%5

round: Rounding evaluation of floating point numbers

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>>> round(1.1314926,1)

1.1

>>> round(1.1314926,5)

1.13149

sum: Sum each element in an iteratable object whose element type is numeric

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# Incoming iteratible object

>>> sum((1,2,3,4))

10

# Element type must be numeric

>>> sum((1.5,2.5,3.5,4.5))

12.0

>>> sum((1,2,3,4),-10)

0

Type conversion

bool: Create a new Boolean value based on the logical value of the passed in parameter

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>>> bool() # No parameters passed in

False

>>> bool(0) # numerical value 0, The null sequence is equivalent to False

False

>>> bool(1)

True

int: Create a new integer based on the passed in parameter

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>>> int() # When parameters are not passed in , Get results 0.

0

>>> int(3)

3

>>> int(3.6)

3

float: Create a new floating point number based on the passed in parameters

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>>> float() # When parameters are not provided , return 0.0

0.0

>>> float(3)

3.0

>>> float('3')

3.0

complex: Create a new complex number based on the passed in parameter

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>>> complex() # When neither parameter is provided , Return complex number 0j.

0j

>>> complex('1+2j') # Incoming string create complex

(1+2j)

>>> complex(1,2) # Create complex numbers by passing in values

(1+2j)

str: Returns the string representation of an object ( To users )

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>>> str()

''

>>> str(None)

'None'

>>> str('abc')

'abc'

>>> str(123)

'123'

bytearray: Create a new byte array based on the passed in parameters

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>>> bytearray(' chinese ','utf-8')

bytearray(b'\xe4\xb8\xad\xe6\x96\x87')

bytes: Create a new immutable byte array based on the passed in parameters

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>>> bytes(' chinese ','utf-8')

b'\xe4\xb8\xad\xe6\x96\x87'

memoryview: Create a new memory view object based on the passed in parameters

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>>> v = memoryview(b'abcefg')

>>> v[1]

98

>>> v[-1]

103

ord: return Unicode Integer corresponding to character

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>>> ord('a')

97

chr: Returns the corresponding integer Unicode character

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>>> chr(97) # Parameter type is integer

'a'

bin: Convert integer to 2 Hexadecimal Strings

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>>> bin(3)

'0b11'

oct: Convert integer to 8 Hexadecimal digit string

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>>> oct(10)

'0o12'

hex: Convert integer to 16 Hexadecimal Strings

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>>> hex(15)

'0xf'

tuple: Create a new tuple based on the passed in parameters

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>>> tuple() # Do not pass in parameters , Create empty tuple

()

>>> tuple('121') # Incoming iteratible object . Create a new tuple with its elements

('1', '2', '1')

list: Create a new list based on the passed in parameters

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>>>list() # Do not pass in parameters , Create an empty list

[]

>>> list('abcd') # Incoming iteratible object , Create a new list with its elements

['a', 'b', 'c', 'd']

dict: Create a new dictionary based on the passed in parameters

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>>> dict() # When no parameters are passed in , Return to empty dictionary .

{}

>>> dict(a = 1,b = 2) #  A dictionary can be created by passing in key value pairs .

{'b': 2, 'a': 1}

>>> dict(zip(['a','b'],[1,2])) # You can pass in mapping functions to create Dictionaries .

{'b': 2, 'a': 1}

>>> dict((('a',1),('b',2))) # You can pass in an iteratable object to create a dictionary .

{'b': 2, 'a': 1}

set: Create a new collection based on the passed in parameters

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>>>set() # Do not pass in parameters , Create an empty collection

set()

>>> a = set(range(10)) # Incoming iteratible object , Create collection

>>> a

{0, 1, 2, 3, 4, 5, 6, 7, 8, 9}

frozenset: Create a new immutable collection based on the passed in parameters

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>>> a = frozenset(range(10))

>>> a

frozenset({0, 1, 2, 3, 4, 5, 6, 7, 8, 9})

enumerate: Create enumeration objects from iteratible objects

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>>> seasons = ['Spring', 'Summer', 'Fall', 'Winter']

>>> list(enumerate(seasons))

[(0, 'Spring'), (1, 'Summer'), (2, 'Fall'), (3, 'Winter')]

>>> list(enumerate(seasons, start=1)) # Specify starting value

[(1, 'Spring'), (2, 'Summer'), (3, 'Fall'), (4, 'Winter')]

range: Create a new one based on the passed in parameters range object

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>>> a = range(10)

>>> b = range(1,10)

>>> c = range(1,10,3)

>>> a,b,c # Output separately a,b,c

(range(0, 10), range(1, 10), range(1, 10, 3))

>>> list(a),list(b),list(c) # Output separately a,b,c Element of

([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [1, 2, 3, 4, 5, 6, 7, 8, 9], [1, 4, 7])

>>>

iter: Create a new iteratible object based on the passed in parameters

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>>> a = iter('abcd') # String sequence

>>> a

<str_iterator object at 0x03FB4FB0>

>>> next(a)

'a'

>>> next(a)

'b'

>>> next(a)

'c'

>>> next(a)

'd'

>>> next(a)

Traceback (most recent call last):

  File "<pyshell#29>", line 1, in <module>

    next(a)

StopIteration

slice: Create a new slice object based on the passed in parameters

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>>> c1 = slice(5) # definition c1

>>> c1

slice(None, 5, None)

>>> c2 = slice(2,5) # definition c2

>>> c2

slice(2, 5, None)

>>> c3 = slice(1,10,3) # definition c3

>>> c3

slice(1, 10, 3)

super: Create a new proxy object with child and parent relationships based on the passed in parameters

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# Define parent class A

>>> class A(object):

    def __init__(self):

        print('A.__init__')

# Define subclasses B, inherit A

>>> class B(A):

    def __init__(self):

        print('B.__init__')

        super().__init__()

#super Call parent method

>>> b = B()

B.__init__

A.__init__

object: Create a new object object

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>>> a = object()

>>> a.name = 'kim' # Property cannot be set

Traceback (most recent call last):

  File "<pyshell#9>", line 1, in <module>

    a.name = 'kim'

AttributeError: 'object' object has no attribute 'name'

Sequence operation

all: Determine whether each element of an iteratible object is True value

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>>> all([1,2]) # The logical value of each element in the list is True, return True

True

>>> all([0,1,2]) # In the list 0 The logical value of is False, return False

False

>>> all(()) # Empty tuple

True

>>> all({}) # Empty dictionary

True

any: Determine whether the elements of an iteratable object have actions True Element of value >>> any([0,1,2]) # A list element has a True, Then return True

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True

>>> any([0,0]) # List elements are all False, Then return False

False

>>> any([]) # Empty list

False

>>> any({}) # Empty dictionary

False

filter: Filter elements of iteratible objects using the specified method

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>>> a = list(range(1,10)) # Define sequence

>>> a

[1, 2, 3, 4, 5, 6, 7, 8, 9]

>>> def if_odd(x): # Define odd judgment function

    return x%2==1

>>> list(filter(if_odd,a)) # Filter odd numbers in sequence

[1, 3, 5, 7, 9]

map: Use the specified method to act on the elements of each passed in iteratible object , Generate a new iteratible object

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>>> a = map(ord,'abcd')

>>> a

<map object at 0x03994E50>

>>> list(a)

[97, 98, 99, 100]

next: Returns the next element value in an iteratible object

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>>> a = iter('abcd')

>>> next(a)

'a'

>>> next(a)

'b'

>>> next(a)

'c'

>>> next(a)

'd'

>>> next(a)

Traceback (most recent call last):

  File "<pyshell#18>", line 1, in <module>

    next(a)

StopIteration

# afferent default After parameter , If the iteratable object still has elements that are not returned , Then its element values are returned in turn , If all elements have been returned , Then return default
Specified default value without throwing StopIteration abnormal

>>> next(a,'e')

'e'

>>> next(a,'e')

'e'

reversed: Invert the sequence to generate a new iteratible object

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>>> a = reversed(range(10)) # afferent range object

>>> a # Type becomes iterator

<range_iterator object at 0x035634E8>

>>> list(a)

[9, 8, 7, 6, 5, 4, 3, 2, 1, 0]

sorted: Sort iteratible objects , Return to a new list

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>>> a = ['a','b','d','c','B','A']

>>> a

['a', 'b', 'd', 'c', 'B', 'A']

>>> sorted(a) # Default by character ascii Code sorting

['A', 'B', 'a', 'b', 'c', 'd']

>>> sorted(a,key = str.lower) # Convert to lowercase before sorting ,'a' and 'A' Same value ,'b' and 'B' Same value

['a', 'A', 'b', 'B', 'c', 'd']

zip: Aggregate elements at the same location in each passed in iterator , Returns a new tuple type iterator

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>>> x = [1,2,3] # length 3

>>> y = [4,5,6,7,8] # length 5

>>> list(zip(x,y)) # Take the minimum length 3

[(1, 4), (2, 5), (3, 6)]

Object operation

help: Returns help information for an object

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>>> help(str)

Help on class str in module builtins:

class str(object)

 |  str(object='') -> str

 |  str(bytes_or_buffer[, encoding[, errors]]) -> str

 | 

 |  Create a new string object from the given object. If encoding or

 |  errors is specified, then the object must expose a data buffer

 |  that will be decoded using the given encoding and error handler.

 |  Otherwise, returns the result of object.__str__() (if defined)

 |  or repr(object).

 |  encoding defaults to sys.getdefaultencoding().

 |  errors defaults to 'strict'.

 | 

 |  Methods defined here:

 | 

 |  __add__(self, value, /)

 |      Return self+value.

 | 

  ***************************

dir: Returns the list of properties in the object or current scope

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>>> import math

>>> math

<module 'math' (built-in)>

>>> dir(math)

['__doc__', '__loader__', '__name__', '__package__', '__spec__', 'acos',
'acosh', 'asin', 'asinh', 'atan', 'atan2', 'atanh', 'ceil', 'copysign', 'cos',
'cosh', 'degrees', 'e', 'erf', 'erfc', 'exp', 'expm1', 'fabs', 'factorial',
'floor', 'fmod', 'frexp', 'fsum', 'gamma', 'gcd', 'hypot', 'inf', 'isclose',
'isfinite', 'isinf', 'isnan', 'ldexp', 'lgamma', 'log', 'log10', 'log1p', 'log2'
,'modf', 'nan', 'pi', 'pow', 'radians', 'sin', 'sinh', 'sqrt', 'tan', 'tanh',
'trunc']

id: Returns the unique identifier of the object

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>>> a = 'some text'

>>> id(a)

69228568

hash: Get the hash value of the object

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>>> hash('good good study')

1032709256

type: Returns the type of the object , Or create a new type based on the passed in parameters

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>>> type(1) # Returns the type of the object

<class 'int'>

# use type Function creation type D, Contains attributes InfoD

>>> D = type('D',(A,B),dict(InfoD='some thing defined in D'))

>>> d = D()

>>> d.InfoD

 'some thing defined in D'

len: Returns the length of the object

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>>> len('abcd') # character string

>>> len(bytes('abcd','utf-8')) # Byte array

>>> len((1,2,3,4)) # tuple

>>> len([1,2,3,4]) # list

>>> len(range(1,5)) # range object

>>> len({'a':1,'b':2,'c':3,'d':4}) # Dictionaries

>>> len({'a','b','c','d'}) # aggregate

>>> len(frozenset('abcd')) # Immutable set

ascii: Returns the printable table string representation of an object

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>>> ascii(1)

'1'

>>> ascii('&')

"'&'"

>>> ascii(9000000)

'9000000'

>>> ascii(' chinese ') # wrong ascii character

"'\\u4e2d\\u6587'"

format: Format display values

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# Parameters that strings can provide 's' None

>>> format('some string','s')

'some string'

>>> format('some string')

'some string'

# The parameters that integer values can provide are 'b' 'c' 'd' 'o' 'x' 'X' 'n' None

>>> format(3,'b') # Convert to binary

'11'

>>> format(97,'c') # transformation unicode Into character

'a'

>>> format(11,'d') # convert to 10 Base

'11'

>>> format(11,'o') # convert to 8 Base

'13'

>>> format(11,'x') # convert to 16 Base Lowercase letters

'b'

>>> format(11,'X') # convert to 16 Base Capital letters

'B'

>>> format(11,'n') # and d equally

'11'

>>> format(11) # Default and d equally

'11'

# Floating point numbers can provide the following parameters 'e' 'E' 'f' 'F' 'g' 'G' 'n' '%' None

>>> format(314159267,'e') # Scientific counting , Default retention 6 Decimal places

'3.141593e+08'

>>> format(314159267,'0.2e') # Scientific counting , Specify retention 2 Decimal places

'3.14e+08'

>>> format(314159267,'0.2E') # Scientific counting , Specify retention 2 Decimal places , Capitalize E express

'3.14E+08'

>>> format(314159267,'f') # Decimal point counting , Default retention 6 Decimal places

'314159267.000000'

>>> format(3.14159267000,'f') # Decimal point counting , Default retention 6 Decimal places

'3.141593'

>>> format(3.14159267000,'0.8f') # Decimal point counting , Specify retention 8 Decimal places

'3.14159267'

>>> format(3.14159267000,'0.10f') # Decimal point counting , Specify retention 10 Decimal places

'3.1415926700'

>>> format(3.14e+1000000,'F')  # Decimal point counting , Convert infinity to large and small letters

'INF'

#g The format of is special , hypothesis p Reserve the number of decimal places specified in the format , First try to format with scientific counting method , Get power exponent exp, If -4<=exp<p, Decimal counting method , And keep p-1-
exp Decimal places , Otherwise, count by decimal method , And press p-1 Keep decimal places

>>> format(0.00003141566,'.1g') #p=1,exp=-5 ==》 -4<=exp<p Not established , Count by scientific counting method , retain 0 Decimal place

'3e-05'

>>> format(0.00003141566,'.2g') #p=1,exp=-5 ==》 -4<=exp<p Not established , Count by scientific counting method , retain 1 Decimal place

'3.1e-05'

>>> format(0.00003141566,'.3g') #p=1,exp=-5 ==》 -4<=exp<p Not established , Count by scientific counting method , retain 2 Decimal place

'3.14e-05'

>>> format(0.00003141566,'.3G') #p=1,exp=-5 ==》 -4<=exp
<p Not established , Count by scientific counting method , retain 0 Decimal place ,E Use uppercase

'3.14E-05'

>>> format(3.1415926777,'.1g') #p=1,exp=0 ==》 -4<=exp<p establish , Count by decimal method , retain 0 Decimal place

'3'

>>> format(3.1415926777,'.2g') #p=1,exp=0 ==》 -4<=exp<p establish , Count by decimal method , retain 1 Decimal place

'3.1'

>>> format(3.1415926777,'.3g') #p=1,exp=0 ==》 -4<=exp<p establish , Count by decimal method , retain 2 Decimal place

'3.14'

>>> format(0.00003141566,'.1n') # and g identical

'3e-05'

>>> format(0.00003141566,'.3n') # and g identical

'3.14e-05'

>>> format(0.00003141566) # and g identical

'3.141566e-05'

vars: Returns a dictionary of local variables and their values in the current scope , Or return the attribute list of the object

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# Act on class instances

>>> class A(object):

    pass

>>> a.__dict__

{}

>>> vars(a)

{}

>>> a.name = 'Kim'

>>> a.__dict__

{'name': 'Kim'}

>>> vars(a)

{'name': 'Kim'}

Reflection operation

__import__: Dynamic import module

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index = __import__('index')

index.sayHello()

isinstance: Determine whether an object is an instance of any class element in a class or type tuple

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>>> isinstance(1,int)

True

>>> isinstance(1,str)

False

>>> isinstance(1,(int,str))

True

issubclass: Determine whether a class is a subclass of another class or any class element in a type tuple

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>>> issubclass(bool,int)

True

>>> issubclass(bool,str)

False

>>> issubclass(bool,(str,int))

True

hasattr: Check whether the object contains attributes

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# Define class A

>>> class Student:

    def __init__(self,name):

        self.name = name

         

>>> s = Student('Aim')

>>> hasattr(s,'name') #a contain name attribute

True

>>> hasattr(s,'age') #a Does not contain age attribute

False

getattr: Get the property value of the object

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# Define class Student

>>> class Student:

    def __init__(self,name):

        self.name = name

>>> getattr(s,'name') # Presence attribute name

'Aim'

>>> getattr(s,'age',6) # No attribute exists age, But default values are provided , Return to default

>>> getattr(s,'age') # No attribute exists age, No default value provided , Call error

Traceback (most recent call last):

  File "<pyshell#17>", line 1, in <module>

    getattr(s,'age')

AttributeError: 'Stduent' object has no attribute 'age'

setattr: Set attribute values for objects

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>>> class Student:

    def __init__(self,name):

        self.name = name

         

>>> a = Student('Kim')

>>> a.name

'Kim'

>>> setattr(a,'name','Bob')

>>> a.name

'Bob'

delattr: Deleting an object's properties

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# Define class A

>>> class A:

    def __init__(self,name):

        self.name = name

    def sayHello(self):

        print('hello',self.name)

# Test properties and methods

>>> a.name

' Wheat '

>>> a.sayHello()

hello Wheat

# Delete attribute

>>> delattr(a,'name')

>>> a.name

Traceback (most recent call last):

  File "<pyshell#47>", line 1, in <module>

    a.name

AttributeError: 'A' object has no attribute 'name'

callable: Detect whether the object can be called

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>>> class B: # Define class B

    def __call__(self):

        print('instances are callable now.')

         

>>> callable(B) # class B Is a callable object

True

>>> b = B() # Call class B

>>> callable(b) # example b Is a callable object

True

>>> b() # Call instance b success

instances are callable now.

Variable operation

globals: Returns a dictionary of global variables and their values in the current scope

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>>> globals()

{'__spec__': None, '__package__': None, '__builtins__': <module 'builtins'
(built-in)>,'__name__': '__main__', '__doc__': None, '__loader__': <class
'_frozen_importlib.BuiltinImporter'>}

>>> a = 1

>>> globals() # One more a

{'__spec__': None, '__package__': None, '__builtins__': <module 'builtins'
(built-in)>,'a': 1, '__name__': '__main__', '__doc__': None, '__loader__': <
class '_frozen_importlib.BuiltinImporter'>}

locals: Returns a dictionary of local variables and their values in the current scope

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>>> def f():

    print('before define a ')

    print(locals()) # No variables in scope

    a = 1

    print('after define a')

    print(locals()) # There is one in the scope a variable , Value is 1

     

>>> f

<function f at 0x03D40588>

>>> f()

before define a

{}

after define a

{'a': 1}

Interoperation

print: Plot output to standard output objects

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>>> print(1,2,3)

1 2 3

>>> print(1,2,3,sep = '+')

1+2+3

>>> print(1,2,3,sep = '+',end = '=?')

1+2+3=?

input: Read user input value

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>>> s = input('please input your name:')

please input your name:Ain

>>> s

'Ain'

File operation

open: Open the file using the specified mode and encoding , Return file read / write object

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# t Read and write for text ,b Binary read / write

>>> a = open('test.txt','rt')

>>> a.read()

'some text'

>>> a.close()

Compile execution

compile: Compile strings into code or AST object , Enable it to pass exec Statement to execute or eval Perform evaluation

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>>> # Process statement usage exec

>>> code1 = 'for i in range(0,10): print (i)'

>>> compile1 = compile(code1,'','exec')

>>> exec (compile1)

0

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>>> # Simple evaluation expression eval

>>> code2 = '1 + 2 + 3 + 4'

>>> compile2 = compile(code2,'','eval')

>>> eval(compile2)

10

eval: Perform dynamic expression evaluation

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>>> eval('1+2+3+4')

10

exec: Execute dynamic statement block

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>>> exec('a=1+2') # Execute statement

>>> a

3

repr: Returns the string representation of an object ( To the interpreter )

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>>> a = 'some text'

>>> str(a)

'some text'

>>> repr(a)

"'some text'"

Decorator

property: Decorator for marking attributes

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>>> class C:

    def __init__(self):

        self._name = ''

    @property

    def name(self):

        """i'm the 'name' property."""

        return self._name

    @name.setter

    def name(self,value):

        if value is None:

            raise RuntimeError('name can not be None')

        else:

            self._name = value

             

>>> c = C()

>>> c.name # Access properties

''

>>> c.name = None # Validate when setting properties

Traceback (most recent call last):

  File "<pyshell#84>", line 1, in <module>

    c.name = None

  File "<pyshell#81>", line 11, in name

    raise RuntimeError('name can not be None')

RuntimeError: name can not be None

>>> c.name = 'Kim' # set a property

>>> c.name # Access properties

'Kim'

>>> del c.name # Delete attribute , Not available deleter Cannot be deleted

Traceback (most recent call last):

  File "<pyshell#87>", line 1, in <module>

    del c.name

AttributeError: can't delete attribute

>>> c.name

'Kim'

classmethod: Decorator that identifies a method as a class method

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>>> class C:

    @classmethod

    def f(cls,arg1):

        print(cls)

        print(arg1)

         

>>> C.f(' Class object calls class method ')

<class '__main__.C'>

Class object calls class method

>>> c = C()

>>> c.f(' Class instance object calls class method ')

<class '__main__.C'>

Class instance object calls class method

staticmethod: Decorator with static marking method

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# Using decorators to define static methods

>>> class Student(object):

    def __init__(self,name):

        self.name = name

    @staticmethod

    def sayHello(lang):

        print(lang)

        if lang == 'en':

            print('Welcome!')

        else:

            print(' Hello !')

             

>>> Student.sayHello('en') # Class call ,'en' To lang parameter

en

Welcome!

>>> b = Student('Kim')

>>> b.sayHello('zh')  # Class instance object call ,'zh' To lang parameter

zh

Hello

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