Scientific Computing with Python 3 by 2nd Revised Edition (2016)

Author:2nd Revised Edition (2016)
Language: eng
Format: epub, azw3
Publisher: Packt Publishing

Access to variables defined outside the local namespace

Python allows functions to access variables defined in any of its enclosing program units. These are called global variables, in contrast to local variables. The latter are only accessible within the function. For example, consider the following code:

import numpy as np # here the variable np is defined def sqrt(x): return np.sqrt(x) # we use np inside the function

This feature should not be abused. The following code is an example of what not to do:

a = 3 def multiply(x): return a * x # bad style: access to the variable a defined outside

When changing the variable a the function, multiply tacitly changes its behavior:

a=3 multiply(4) # returns 12 a=4 multiply(4) # returns 16

It is much better in that case to provide the variable as a parameter through the argument list:

def multiply(x, a): return a * x

Global variables can be useful when working with closures. Namespaces and scopes are discussed more extensively in Chapter 11, Namespaces, Scopes, and Modules.

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