Here's a fun project attempting to explain what exactly is happening under the hood for some counter-intuitive snippets and lesser-known features in Python.While some of the examples you see below may not be WTF
Python's Global Interpreter Lock or GIL, in simple words, is a mutex (or a lock) that allows only one thread to hold the control of the Python interpreter at any one time. In this article you'll learn how the GIL affects the performance of your Python pr
class Weight: def __init__(self, kilos): self.kilos = kilos @classmethod def from_pounds(cls, pounds): # convert pounds to kilos kilos = pounds / 2.205 # cls is the same as Weight. calling cls(kilos) is the same as Weight(kilos) return cls(kilos)...
False>>>WTF()isWTF()# 也不相同 False>>>hash(WTF())==hash(WTF())# 哈希值也应该不同 True>>>id(WTF())==id(WTF())True 说明:当调用 id 函数时,Python 创建了一个WTF类的对象并传给id函数,然后id函数获取其 id 值(也就是内存地址),然后丢弃该对象,该对象就被销毁了。 当我们连续两次进行这...
What is Decorator in Python? 首先我们要明白一点,Python和Java C++不一样 python中的函数可以像普通变量一样当作参数传递给另外一个函数 比如说下面的例子: deffoo():print("foo")defbar(func): func() bar(foo) 下面进入什么是装饰器范畴: 其本质上也是一个Python函数或者类,它可以让其他函数或者类在不...
The main thing you'll pretty much always see in a __init__ method, is assigning to attributes.This is our new Point classclass Point: """2-dimensional point.""" def __init__(self, x, y): self.x = x self.y = y If we call it like before without any arguments, we'll see ...
python setup.py build_ext -ipython -c 'import seqpy; print(seqpy.revcomp("GGGTT"))' VOTE Amin TabibzadaFollow I don't know if it's the fastest, but the following provides an approximately 10x speed up over your functions: import stringtab = string.maket...
In all three cases, the method prints the message to confirm. Method 2: @staticmethod The second way to create a static method is with the@staticmethoddecorator. For example: class MyClass(): @staticmethod def myStaticMethod(): # Code that doesn't depend on class or instance ...
以下关键字不能声明为变量名['and', 'as', 'assert', 'break', 'class', 'continue', 'def', 'del', 'elif', 'else', 'except', 'exec', 'finally', 'for', 'from', 'global', 'if', 'import', 'in', 'is', 'lambda', 'not', 'or', 'pass', 'print', 'raise', 'return',...
In this module, we have defined the mul() function for the multiplication of two numbers - #mul.py def mul(a,b): return a*b Module 4: __init__py We have put a single statement in a __init__.py file. Whenever we implement the package, the __init__.py is been implemented...