Functions are one of the "first-class citizens" of Python, which means that functions are at the same level as other Python objects like integers, strings, modules, etc. They can be created and destroyed dynamically, passed to other functions, returned as values, etc. Show Python supports the concept of a "nested function" or "inner function", which is simply a function defined inside another function. In the rest of the article, we will use the word "inner function" and "nested function" interchangeably. There are various reasons as to why one would like to create a function inside another function. The inner function is able to access the variables within the enclosing scope. In this article, we will be exploring various aspects of inner functions in Python. Defining an Inner FunctionTo define an inner function in Python, we simply create a function inside another function using the Python's Output
In the above example, 0 has been defined inside 1, making it an inner function. To call 0, we must first call 1. The 1 will then go ahead and call 0 as it has been defined inside it.It is important to mention that the outer function has to be called in order for the inner function to execute. If the outer function is not called, the inner function will never execute. To demonstrate this, modify the above code to the following and run it: The code will return nothing when executed! Here is another example:
Output
The code returns the multiplication of the two numbers, that is, 10 and 5. The example shows that an inner function is able to access variables accessible in the outer function. So far, you have seen that it is possible for us to access the variables of the outer function inside the inner function. What if we attempt to change the variables of the outer function from inside the inner function? Let us see what happens: Output
The output shows that it is possible for us to display the value of a variable defined within the outer function from the inner function, but not change it. The statement 6 helped us create a new variable 7 inside the inner function 0 rather than changing the value of variable 7 defined in the outer function 1.In the next section, we will be discussing the main reasons as to why we use inner functions in Python. Why use Inner Functions?EncapsulationA function can be created as an inner function in order to protect it from everything that is happening outside of the function. In that case, the function will be hidden from the global scope. Here is an example: Check out our hands-on, practical guide to learning Git, with best-practices, industry-accepted standards, and included cheat sheet. Stop Googling Git commands and actually learn it! Output
In the above code, we are trying to call the 1 function, but instead we got an error.Now, comment out the call to 1 and uncomment the call to 3 as shown below:Output
The script above shows that the inner function, that is, 1 is protected from what is happening outside it since the variable 7 inside the 6 function is not affected by the value passed to the parameter 7 of the outer function. In other words, the variables inside the inner function is not accessible outside it. There is a great advantage with such a design pattern. After checking all arguments in the outer function, we can safely skip error checking within the inner function.Closures and Factory FunctionsAll the examples we have seen till now just contain ordinary functions that have been nested inside other functions. It is possible for us to write such functions in another way instead of nesting them inside other functions. We don't have a specific reason as to why we should nest them. However, for the case of closures, one must use the nested functions. We can bind/pass data to a function without necessarily passing the data to the function via parameters. This is done using a closure. It is a function object that is able to remember values in the enclosing scopes even when they are not available in the memory. This means that we have a closure when a nested function references a value that is in its enclosing scope. The purpose of a closure is to make the inner function remember the state of its environment when it is called, even if it is not in the memory. A closure is caused by an inner function, but it's not the inner function. The closure works by closing the local variable on the stack, which stays around after the creation of the stack has finished executing. The following are the conditions that are required to be met in order to create a closure in Python:
Consider the following example:
Output
The above code demonstrates that with closures, we are able to generate and invoke a function from outside its scope via function passing. The scope of 0 is only inside 1. However, with the use of closures, it was possible for us to extend this scope and invoke it from outside its scope.Inner functions help us in defining factory functions. A factory function is a function that creates another object. For example: Output
In the script above, from the 0 function, we have created two other objects, 1 and 2. This makes 0 a factory function since it generates the 1 and 2 functions for us using the parameter we pass it.ConclusionAn inner function is simply a function that is defined inside another function. The inner function is able to access the variables that have been defined within the scope of the outer function, but it cannot change them. There are a number of reasons as to why we may need to create an inner function. For instance, an inner function is protected from what happens outside it. Inner functions are also a good way of creating closures in Python. How do you use sub function in Python?sub() function belongs to the Regular Expressions ( re ) module in Python. It returns a string where all matching occurrences of the specified pattern are replaced by the replace string. To use this function, we need to import the re module first.
Can Python call a function below it?It is not possible. Python does not allow calling of a function before declaring it like C. This is possible in some languages like JavaScript but not in Python. This means Python does not allows calling before declaring.
How do you call a subroutine in Python?To call a function, you write out the function name followed by a colon.
How function calls another function in Python?A stack data structure is used during the execution of the function calls. Whenever a function is invoked then the calling function is pushed into the stack and called function is executed. When the called function completes its execution and returns then the calling function is popped from the stack and executed.
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