函数的第一条语句("function_docstring")是可选语句; 每个函数中的代码块均以冒号(:)开头并缩进。 例,绝对值函数的定义: defabs(x):## define a function named 'abs' of one argument named 'x'ifx>=0:## function body starts herereturnxelse:return-x## function body ends here 3. Calling a F...
parentheses containing optional parameters, and a colon. Function bodies, which contain the code to be executed when the function is called, are indented under their definitions. Here's the syntax for defining a function in Python:
函数的第一条语句("function_docstring")是可选语句; 每个函数中的代码块均以冒号(:)开头并缩进。 例,绝对值函数的定义: defabs(x):## define a function named 'abs' of one argument named 'x'ifx>=0:## function body starts herereturnxelse:return-x## function body ends here 3. Calling a F...
In some cases, when you’re defining a function, you may not know beforehand how many arguments you’ll want it to take. Suppose, for example, that you want to write a Python function that computes the average of several values. You could start with something like this:...
# Defining a function named main() def main(): # Printing the values of environment variables print("REZ_BUILD_SOURCE_PATH" + os.environ["REZ_BUILD_SOURCE_PATH"]) print("REZ_BUILD_PATH" + os.environ["REZ_BUILD_PATH"]) print("REZ_BUILD_INSTALL_PATH" + os.environ["REZ_BUILD_INSTALL...
How to Define a Function: User-Defined Functions (UDFs) The four steps to defining a function in Python are the following: Use the keyword def to declare the function and follow this up with the function name. Add parameters to the function: they should be within the parentheses of the fu...
4.6. Defining Functions We can create a function that writes the Fibonacci series to an arbitrary boundary: 我们创建一个斐波那契数列的函数: >>>def fib(n): # write Fibonacci series up to n ..."""Print a Fibonacci series up to n."""... a, b=0,1...whilea <n: ...
Now you’re ready to go write some awesome Pythonmain()function code! Take the Quiz:Test your knowledge with our interactive “Defining Main Functions in Python” quiz. You’ll receive a score upon completion to help you track your learning progress: ...
This can provide a handy and “unbureaucratic” shortcut to defining a function in Python. My most frequent use case for lambdas is writing short and concisekey funcs In [8]: tuples = [(1, 'd'), (2, 'b'), (4, 'a'), (3, 'c')] ...
# Defining a kernel function from numba import cuda @cuda.jit def func(a, result): # Some cuda related computation, then # your computationally intensive code. # (Your answer is stored in result ) 因此,要启动核函数,你必须传入两个参数: ...