一、作用域
只要变量在内存中就能被调用！但是（函数的栈有点区别）
对于变量的作用域，执行声明并在内存中存在，如果变量在内存中存在就可以被调用。
1 if 1==1: 2 name = 'tianshuai' 3 print name
所以下面的说法是不对的：
外层变量，可以被内层变量使用
内层变量，无法被外层变量使用
二、三元运算
1 result = 值1 if 条件 else 值2
例子：
1 name = raw_input("please input your name: ") 2 if name = "tianshuai": 3 print "you are so shuai!!!" 4 else: 5 print "you are ok"
上面的例子可以用三元运算一句解决：
1 name = raw_input("please input your name: ") 2 shuai = "shuaige" if name == "tianshuai" else "is ok" 3 print shuai
注：循环可以包含循环，列表可以包含列表，元组当然也可以包含元组，字典可以包含字典！思想不要太局限！放开想！
三、python是一门什么语言
编程语言主要从以下几个角度进行分类：
编译型和解释型
静态语言和动态语言
强类型定义语言和弱类型语言
编译型和解释型：
编译型，其实他和汇编语言是一样的：也是有一个负责翻译的程序来对我们的源代码进行转换，生成相对应的可执行代码。
这个说的更专业一点，就是编辑（Complie），而负责编译的程序自然就称谓编译器（Compiler）。如果我们写的程序代码都包含在一个源
文 件中，那么通常编译之后就会生成一个可执行文件，我们就直接运行了，而对于一个比较复杂的项目，为了方便管理，我们通常把代码分散在各个原文件中，作为不 通的模块来组织。这是编译各个文件时就会生成目标文件（Objec file）而不是之前所说的可执行文件。一般一个源文件的编译都会对应一个目标文件。这些目标文件里的内容基本上已经是可执行代码了，但是由于只是整个项 目的一部分，所以我们还不能直接运行。待所有的源文件编译都大功告成，我们就可以最后把这些半成品的目标文件“打包”成一个可执行文件了，这个工作由另一 个程序负责完成，由于过程好像是把包含可执行代码的目标文件连接装配起来，所以这个操作又称为连接（Link），而负责连接的程序就叫。。。。。连接程序 （Linker）。连接程序除了连接文件之外，可能还有各种资源，图标文件啊、声音等。连接完成后，一般就可以得到我们降妖的可执行文件了。
上面我们大概介绍了编译型语言的特点，现在在看看解释性。从字面上来看“编译”和“解释”都有“翻译”的意思，他们的区别则在于翻译的时机不一样。
打个比方：如果你打算预读一本外文书，而你不知道这么外语，那么你可以找一名翻译，给他足够的时间让他从头到尾把整本书翻译好，
然后把书的母语版交给你阅读。这个过程就编译，或者你也立刻让这名翻译辅助你阅读，让他一句一句的给你翻译，如果你想往回看某个章节他也的重新给你翻译。
两 种方式：前者就相当于我们刚才说的编译型：一次把所有的代码转换成机器语言，然后写成可执行文件。
而后者就相当于我们要的节诶实行：在程序运行的前一刻， 还只有源程序而没有可执行程序；而程每执行到资源程序的某一条执行，则会有一个称之为解释程序的外壳程序，将源代码转换成二进制代码以供执行，总而言之就 是不断的解释、执行、解释、执行。。。所以解释型语言是离不开解释程序的。
由于程序总是以源代码的形式出现，因此只要有相应的解释器，一直几乎不成问题。编译型程序虽然源代码也可以执行，但前提必须针对不通的系统分别进行编译，对于复杂的工程来说，的确是一件不小的时间小号，而且何忧可能一些细节的地方还有修改源代码。
但是解释性程序省却了编译的步骤，修改调试也非常方便，编辑完毕之后即可运行，不必想编译型语言修改了小小的改动要等很长的Compiling...Linking...
不过凡是有利有弊，由于解释性程序试讲编译的过程放在执行过程中，这就决定了解释性程序注定要比编译型慢上一大截，就想几百倍的速度差距也不足为奇
但 既然编译型与解释性各有优缺点又相互对立，所以一批新星的语言都有把两者折中起来的趋势，例如Java语言虽然比较接近解释性语言的特性，但在执行之前预 先进行一次预编译，生成的代码是介于机器码和Java源代码之间的中介码，运行的时候而又JVM（Java的虚拟机平台，可视为解释器）解释执行。他即保 留了源代码的高抽象、可抑制的特点，又已完成了对源代码的大部分预编译工作，所以执行起来比“纯解释性”程序要快的多。宗旨，随着设计技术与硬件的不断发 展，编译型与解释性两种方式的界限正在不断的变模糊
静态语言和动态语言：
通常我们所说的动态语言、静态语言是指动态类型语言和静态类型语言。
1、 动态类型语言：动态类型语言是指在运行期间才去做数据类型检查的语言，也就是说，在动态类型的语言编程时，永远也不用给任何变量指定数据类型，该语言会在 第一次赋值给变量是，在内部将数据类型记录下来。Python和Ruby就是典型类型的动态类型语言，其他的各种脚本语言如VBScript也多少属于动 态类型语言。
2、静态类型语言：静态类型语言与动态类型语言刚好相反，他的数据类型是在编译期间检查的，也就是说在写程序的时候要声明所有变量的数据类型，C/C++是静态类型的典型代表，其他的静态类型语言还有C#、JAVA等
对于动态语言与静态语言的区分，套用一句比较流行的话是：Static typing when possible,dynamic typing when needed
强类型定义语言和弱类型语言
1、强类型定义语言：强制数据类型定义的语言。也就是说，一旦一个变量被指定了某个数据类型，如果不经过强制转换，那么他就永远是这个数据类型了。举个例子：如果你定义了一个整形变量a，那么程序根本不可能讲a当作字符串类型处理。强类型定义语言是类型安全的语言。
2、弱类型定义语言：数据类型可以被忽略的语言。他与强类型定义语言相反，一个变量可以赋予不同数据类型。
强类型定义语言在速度上可能略逊色与弱类型定义语言，但是他是强类型定义语言带来的严谨性能够有效便面许多错误，另外，“这么语言是不是动态语言”与“这么语言是否类型安全”之间是完全没有联系的。
例如：Python是动态语言，也是强类型定义语言（类型安全的语言）；VBScript是动态语言是弱类型定义语言（类型不安全的语言）；
JAVA是静态语言，是强类型定义语言（类型安全的语言）
Python基础
一、整数
如： 18、73、84
每一个整数都具备如下功能：
class int(object): """ int(x=0) -> int or long int(x, base=10) -> int or long Convert a number or string to an integer, or return 0 if no arguments are given. If x is floating point, the conversion truncates towards zero. If x is outside the integer range, the function returns a long instead. If x is not a number or if base is given, then x must be a string or Unicode object representing an integer literal in the given base. The literal can be preceded by '+' or '-' and be surrounded by whitespace. The base defaults to 10. Valid bases are 0 and 2-36. Base 0 means to interpret the base from the string as an integer literal. >>> int('0b100', base=0) """ def bit_length(self): """ 返回表示该数字的时占用的最少位数 """ """ int.bit_length() -> int Number of bits necessary to represent self in binary. >>> bin(37) '0b100101' >>> (37).bit_length() """ return 0 def conjugate(self, *args, **kwargs): # real signature unknown """ 返回该复数的共轭复数 """ """ Returns self, the complex conjugate of any int. """ pass def __abs__(self): """ 返回绝对值 """ """ x.__abs__() <==> abs(x) """ pass def __add__(self, y): """ x.__add__(y) <==> x+y """ pass def __and__(self, y): """ x.__and__(y) <==> x&y """ pass def __cmp__(self, y): """ 比较两个数大小 """ """ x.__cmp__(y) <==> cmp(x,y) """ pass def __coerce__(self, y): """ 强制生成一个元组 """ """ x.__coerce__(y) <==> coerce(x, y) """ pass def __divmod__(self, y): """ 相除，得到商和余数组成的元组 """ """ x.__divmod__(y) <==> divmod(x, y) """ pass def __div__(self, y): """ x.__div__(y) <==> x/y """ pass def __float__(self): """ 转换为浮点类型 """ """ x.__float__() <==> float(x) """ pass def __floordiv__(self, y): """ x.__floordiv__(y) <==> x//y """ pass def __format__(self, *args, **kwargs): # real signature unknown pass def __getattribute__(self, name): """ x.__getattribute__('name') <==> x.name """ pass def __getnewargs__(self, *args, **kwargs): # real signature unknown """ 内部调用 __new__方法或创建对象时传入参数使用 """ pass def __hash__(self): """如果对象object为哈希表类型，返回对象object的哈希值。哈希值为整数。在字典查找中，哈希值用于快速比较字典的键。两个数值如果相等，则哈希值也相等。""" """ x.__hash__() <==> hash(x) """ pass def __hex__(self): """ 返回当前数的 十六进制 表示 """ """ x.__hex__() <==> hex(x) """ pass def __index__(self): """ 用于切片，数字无意义 """ """ x[y:z] <==> x[y.__index__():z.__index__()] """ pass def __init__(self, x, base=10): # known special case of int.__init__ """ 构造方法，执行 x = 123 或 x = int(10) 时，自动调用，暂时忽略 """ """ int(x=0) -> int or long int(x, base=10) -> int or long Convert a number or string to an integer, or return 0 if no arguments are given. If x is floating point, the conversion truncates towards zero. If x is outside the integer range, the function returns a long instead. If x is not a number or if base is given, then x must be a string or Unicode object representing an integer literal in the given base. The literal can be preceded by '+' or '-' and be surrounded by whitespace. The base defaults to 10. Valid bases are 0 and 2-36. Base 0 means to interpret the base from the string as an integer literal. >>> int('0b100', base=0) # (copied from class doc) """ pass def __int__(self): """ 转换为整数 """ """ x.__int__() <==> int(x) """ pass def __invert__(self): """ x.__invert__() <==> ~x """ pass def __long__(self): """ 转换为长整数 """ """ x.__long__() <==> long(x) """ pass def __lshift__(self, y): """ x.__lshift__(y) <==> x<<y """ pass def __mod__(self, y): """ x.__mod__(y) <==> x%y """ pass def __mul__(self, y): """ x.__mul__(y) <==> x*y """ pass def __neg__(self): """ x.__neg__() <==> -x """ pass @staticmethod # known case of __new__ def __new__(S, *more): """ T.__new__(S, ...) -> a new object with type S, a subtype of T """ pass def __nonzero__(self): """ x.__nonzero__() <==> x != 0 """ pass def __oct__(self): """ 返回改值的 八进制 表示 """ """ x.__oct__() <==> oct(x) """ pass def __or__(self, y): """ x.__or__(y) <==> x|y """ pass def __pos__(self): """ x.__pos__() <==> +x """ pass def __pow__(self, y, z=None): """ 幂，次方 """ """ x.__pow__(y[, z]) <==> pow(x, y[, z]) """ pass def __radd__(self, y): """ x.__radd__(y) <==> y+x """ pass def __rand__(self, y): """ x.__rand__(y) <==> y&x """ pass def __rdivmod__(self, y): """ x.__rdivmod__(y) <==> divmod(y, x) """ pass def __rdiv__(self, y): """ x.__rdiv__(y) <==> y/x """ pass def __repr__(self): """转化为解释器可读取的形式 """ """ x.__repr__() <==> repr(x) """ pass def __str__(self): """转换为人阅读的形式，如果没有适于人阅读的解释形式的话，则返回解释器课阅读的形式""" """ x.__str__() <==> str(x) """ pass def __rfloordiv__(self, y): """ x.__rfloordiv__(y) <==> y//x """ pass def __rlshift__(self, y): """ x.__rlshift__(y) <==> y<<x """ pass def __rmod__(self, y): """ x.__rmod__(y) <==> y%x """ pass def __rmul__(self, y): """ x.__rmul__(y) <==> y*x """ pass def __ror__(self, y): """ x.__ror__(y) <==> y|x """ pass def __rpow__(self, x, z=None): """ y.__rpow__(x[, z]) <==> pow(x, y[, z]) """ pass def __rrshift__(self, y): """ x.__rrshift__(y) <==> y>>x """ pass def __rshift__(self, y): """ x.__rshift__(y) <==> x>>y """ pass def __rsub__(self, y): """ x.__rsub__(y) <==> y-x """ pass def __rtruediv__(self, y): """ x.__rtruediv__(y) <==> y/x """ pass def __rxor__(self, y): """ x.__rxor__(y) <==> y^x """ pass def __sub__(self, y): """ x.__sub__(y) <==> x-y """ pass def __truediv__(self, y): """ x.__truediv__(y) <==> x/y """ pass def __trunc__(self, *args, **kwargs): """ 返回数值被截取为整形的值，在整形中无意义 """ pass def __xor__(self, y): """ x.__xor__(y) <==> x^y """ pass denominator = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """ 分母 = 1 """ """the denominator of a rational number in lowest terms""" imag = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """ 虚数，无意义 """ """the imaginary part of a complex number""" numerator = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """ 分子 = 数字大小 """ """the numerator of a rational number in lowest terms""" real = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """ 实属，无意义 """ """the real part of a complex number""" int
二、长整型
可能如：2147483649、9223372036854775807
每个长整型都具备如下功能：
class long(object): """ long(x=0) -> long long(x, base=10) -> long Convert a number or string to a long integer, or return 0L if no arguments are given. If x is floating point, the conversion truncates towards zero. If x is not a number or if base is given, then x must be a string or Unicode object representing an integer literal in the given base. The literal can be preceded by '+' or '-' and be surrounded by whitespace. The base defaults to 10. Valid bases are 0 and 2-36. Base 0 means to interpret the base from the string as an integer literal. >>> int('0b100', base=0) 4L """ def bit_length(self): # real signature unknown; restored from __doc__ """ long.bit_length() -> int or long Number of bits necessary to represent self in binary. >>> bin(37L) '0b100101' >>> (37L).bit_length() """ return 0 def conjugate(self, *args, **kwargs): # real signature unknown """ Returns self, the complex conjugate of any long. """ pass def __abs__(self): # real signature unknown; restored from __doc__ """ x.__abs__() <==> abs(x) """ pass def __add__(self, y): # real signature unknown; restored from __doc__ """ x.__add__(y) <==> x+y """ pass def __and__(self, y): # real signature unknown; restored from __doc__ """ x.__and__(y) <==> x&y """ pass def __cmp__(self, y): # real signature unknown; restored from __doc__ """ x.__cmp__(y) <==> cmp(x,y) """ pass def __coerce__(self, y): # real signature unknown; restored from __doc__ """ x.__coerce__(y) <==> coerce(x, y) """ pass def __divmod__(self, y): # real signature unknown; restored from __doc__ """ x.__divmod__(y) <==> divmod(x, y) """ pass def __div__(self, y): # real signature unknown; restored from __doc__ """ x.__div__(y) <==> x/y """ pass def __float__(self): # real signature unknown; restored from __doc__ """ x.__float__() <==> float(x) """ pass def __floordiv__(self, y): # real signature unknown; restored from __doc__ """ x.__floordiv__(y) <==> x//y """ pass def __format__(self, *args, **kwargs): # real signature unknown pass def __getattribute__(self, name): # real signature unknown; restored from __doc__ """ x.__getattribute__('name') <==> x.name """ pass def __getnewargs__(self, *args, **kwargs): # real signature unknown pass def __hash__(self): # real signature unknown; restored from __doc__ """ x.__hash__() <==> hash(x) """ pass def __hex__(self): # real signature unknown; restored from __doc__ """ x.__hex__() <==> hex(x) """ pass def __index__(self): # real signature unknown; restored from __doc__ """ x[y:z] <==> x[y.__index__():z.__index__()] """ pass def __init__(self, x=0): # real signature unknown; restored from __doc__ pass def __int__(self): # real signature unknown; restored from __doc__ """ x.__int__() <==> int(x) """ pass def __invert__(self): # real signature unknown; restored from __doc__ """ x.__invert__() <==> ~x """ pass def __long__(self): # real signature unknown; restored from __doc__ """ x.__long__() <==> long(x) """ pass def __lshift__(self, y): # real signature unknown; restored from __doc__ """ x.__lshift__(y) <==> x<<y """ pass def __mod__(self, y): # real signature unknown; restored from __doc__ """ x.__mod__(y) <==> x%y """ pass def __mul__(self, y): # real signature unknown; restored from __doc__ """ x.__mul__(y) <==> x*y """ pass def __neg__(self): # real signature unknown; restored from __doc__ """ x.__neg__() <==> -x """ pass @staticmethod # known case of __new__ def __new__(S, *more): # real signature unknown; restored from __doc__ """ T.__new__(S, ...) -> a new object with type S, a subtype of T """ pass def __nonzero__(self): # real signature unknown; restored from __doc__ """ x.__nonzero__() <==> x != 0 """ pass def __oct__(self): # real signature unknown; restored from __doc__ """ x.__oct__() <==> oct(x) """ pass def __or__(self, y): # real signature unknown; restored from __doc__ """ x.__or__(y) <==> x|y """ pass def __pos__(self): # real signature unknown; restored from __doc__ """ x.__pos__() <==> +x """ pass def __pow__(self, y, z=None): # real signature unknown; restored from __doc__ """ x.__pow__(y[, z]) <==> pow(x, y[, z]) """ pass def __radd__(self, y): # real signature unknown; restored from __doc__ """ x.__radd__(y) <==> y+x """ pass def __rand__(self, y): # real signature unknown; restored from __doc__ """ x.__rand__(y) <==> y&x """ pass def __rdivmod__(self, y): # real signature unknown; restored from __doc__ """ x.__rdivmod__(y) <==> divmod(y, x) """ pass def __rdiv__(self, y): # real signature unknown; restored from __doc__ """ x.__rdiv__(y) <==> y/x """ pass def __repr__(self): # real signature unknown; restored from __doc__ """ x.__repr__() <==> repr(x) """ pass def __rfloordiv__(self, y): # real signature unknown; restored from __doc__ """ x.__rfloordiv__(y) <==> y//x """ pass def __rlshift__(self, y): # real signature unknown; restored from __doc__ """ x.__rlshift__(y) <==> y<<x """ pass def __rmod__(self, y): # real signature unknown; restored from __doc__ """ x.__rmod__(y) <==> y%x """ pass def __rmul__(self, y): # real signature unknown; restored from __doc__ """ x.__rmul__(y) <==> y*x """ pass def __ror__(self, y): # real signature unknown; restored from __doc__ """ x.__ror__(y) <==> y|x """ pass def __rpow__(self, x, z=None): # real signature unknown; restored from __doc__ """ y.__rpow__(x[, z]) <==> pow(x, y[, z]) """ pass def __rrshift__(self, y): # real signature unknown; restored from __doc__ """ x.__rrshift__(y) <==> y>>x """ pass def __rshift__(self, y): # real signature unknown; restored from __doc__ """ x.__rshift__(y) <==> x>>y """ pass def __rsub__(self, y): # real signature unknown; restored from __doc__ """ x.__rsub__(y) <==> y-x """ pass def __rtruediv__(self, y): # real signature unknown; restored from __doc__ """ x.__rtruediv__(y) <==> y/x """ pass def __rxor__(self, y): # real signature unknown; restored from __doc__ """ x.__rxor__(y) <==> y^x """ pass def __sizeof__(self, *args, **kwargs): # real signature unknown """ Returns size in memory, in bytes """ pass def __str__(self): # real signature unknown; restored from __doc__ """ x.__str__() <==> str(x) """ pass def __sub__(self, y): # real signature unknown; restored from __doc__ """ x.__sub__(y) <==> x-y """ pass def __truediv__(self, y): # real signature unknown; restored from __doc__ """ x.__truediv__(y) <==> x/y """ pass def __trunc__(self, *args, **kwargs): # real signature unknown """ Truncating an Integral returns itself. """ pass def __xor__(self, y): # real signature unknown; restored from __doc__ """ x.__xor__(y) <==> x^y """ pass denominator = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """the denominator of a rational number in lowest terms""" imag = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """the imaginary part of a complex number""" numerator = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """the numerator of a rational number in lowest terms""" real = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """the real part of a complex number""" long
三、浮点型
如：3.14、2.88
每个浮点型都具备如下功能：
class float(object): """ float(x) -> floating point number Convert a string or number to a floating point number, if possible. """ def as_integer_ratio(self): """ 获取改值的最简比 """ """ float.as_integer_ratio() -> (int, int) Return a pair of integers, whose ratio is exactly equal to the original float and with a positive denominator. Raise OverflowError on infinities and a ValueError on NaNs. >>> (10.0).as_integer_ratio() (10, 1) >>> (0.0).as_integer_ratio() (0, 1) >>> (-.25).as_integer_ratio() (-1, 4) """ pass def conjugate(self, *args, **kwargs): # real signature unknown """ Return self, the complex conjugate of any float. """ pass def fromhex(self, string): """ 将十六进制字符串转换成浮点型 """ """ float.fromhex(string) -> float Create a floating-point number from a hexadecimal string. >>> float.fromhex('0x1.ffffp10') 2047.984375 >>> float.fromhex('-0x1p-1074') -4.9406564584124654e-324 """ return 0.0 def hex(self): """ 返回当前值的 16 进制表示 """ """ float.hex() -> string Return a hexadecimal representation of a floating-point number. >>> (-0.1).hex() '-0x1.999999999999ap-4' >>> 3.14159.hex() '0x1.921f9f01b866ep+1' """ return "" def is_integer(self, *args, **kwargs): # real signature unknown """ Return True if the float is an integer. """ pass def __abs__(self): """ x.__abs__() <==> abs(x) """ pass def __add__(self, y): """ x.__add__(y) <==> x+y """ pass def __coerce__(self, y): """ x.__coerce__(y) <==> coerce(x, y) """ pass def __divmod__(self, y): """ x.__divmod__(y) <==> divmod(x, y) """ pass def __div__(self, y): """ x.__div__(y) <==> x/y """ pass def __eq__(self, y): """ x.__eq__(y) <==> x==y """ pass def __float__(self): """ x.__float__() <==> float(x) """ pass def __floordiv__(self, y): """ x.__floordiv__(y) <==> x//y """ pass def __format__(self, format_spec): """ float.__format__(format_spec) -> string Formats the float according to format_spec. """ return "" def __getattribute__(self, name): """ x.__getattribute__('name') <==> x.name """ pass def __getformat__(self, typestr): """ float.__getformat__(typestr) -> string You probably don't want to use this function. It exists mainly to be used in Python's test suite. typestr must be 'double' or 'float'. This function returns whichever of 'unknown', 'IEEE, big-endian' or 'IEEE, little-endian' best describes the format of floating point numbers used by the C type named by typestr. """ return "" def __getnewargs__(self, *args, **kwargs): # real signature unknown pass def __ge__(self, y): """ x.__ge__(y) <==> x>=y """ pass def __gt__(self, y): """ x.__gt__(y) <==> x>y """ pass def __hash__(self): """ x.__hash__() <==> hash(x) """ pass def __init__(self, x): pass def __int__(self): """ x.__int__() <==> int(x) """ pass def __le__(self, y): """ x.__le__(y) <==> x<=y """ pass def __long__(self): """ x.__long__() <==> long(x) """ pass def __lt__(self, y): """ x.__lt__(y) <==> x<y """ pass def __mod__(self, y): """ x.__mod__(y) <==> x%y """ pass def __mul__(self, y): """ x.__mul__(y) <==> x*y """ pass def __neg__(self): """ x.__neg__() <==> -x """ pass @staticmethod # known case of __new__ def __new__(S, *more): """ T.__new__(S, ...) -> a new object with type S, a subtype of T """ pass def __ne__(self, y): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(self): """ x.__nonzero__() <==> x != 0 """ pass def __pos__(self): """ x.__pos__() <==> +x """ pass def __pow__(self, y, z=None): """ x.__pow__(y[, z]) <==> pow(x, y[, z]) """ pass def __radd__(self, y): """ x.__radd__(y) <==> y+x """ pass def __rdivmod__(self, y): """ x.__rdivmod__(y) <==> divmod(y, x) """ pass def __rdiv__(self, y): """ x.__rdiv__(y) <==> y/x """ pass def __repr__(self): """ x.__repr__() <==> repr(x) """ pass def __rfloordiv__(self, y): """ x.__rfloordiv__(y) <==> y//x """ pass def __rmod__(self, y): """ x.__rmod__(y) <==> y%x """ pass def __rmul__(self, y): """ x.__rmul__(y) <==> y*x """ pass def __rpow__(self, x, z=None): """ y.__rpow__(x[, z]) <==> pow(x, y[, z]) """ pass def __rsub__(self, y): """ x.__rsub__(y) <==> y-x """ pass def __rtruediv__(self, y): """ x.__rtruediv__(y) <==> y/x """ pass def __setformat__(self, typestr, fmt): """ float.__setformat__(typestr, fmt) -> None You probably don't want to use this function. It exists mainly to be used in Python's test suite. typestr must be 'double' or 'float'. fmt must be one of 'unknown', 'IEEE, big-endian' or 'IEEE, little-endian', and in addition can only be one of the latter two if it appears to match the underlying C reality. Override the automatic determination of C-level floating point type. This affects how floats are converted to and from binary strings. """ pass def __str__(self): """ x.__str__() <==> str(x) """ pass def __sub__(self, y): """ x.__sub__(y) <==> x-y """ pass def __truediv__(self, y): """ x.__truediv__(y) <==> x/y """ pass def __trunc__(self, *args, **kwargs): # real signature unknown """ Return the Integral closest to x between 0 and x. """ pass imag = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """the imaginary part of a complex number""" real = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """the real part of a complex number""" float