In this article, you’ll have a deeper understanding of the Python
callback function. Check out our sample program below, which demonstrates the function’s purpose.
Parallel Python is a module offered by Python that helps in providing a proper mechanism for the parallel execution of a program in Python. These Python codes are generally on
SMP or Systems with Multiple Processors and
Clusters, which are computers that are connected through a network.
This module is both open-source and cross-platform, which is written only in Python. It is a very light module and is also very easy to install with any Python software.
Callback Function Definition in Python
Parallel Python Module, the
submit function is known as the
callback function. The
callback function acts as an argument for any other function. The other function in which the
callback function is an argument calls the
callback function in its function definition. Other modules can call the
callback function depending upon their requirements and their nature.
callback functions generally come into play when asynchronous functions are used in the program. An asynchronous function is a function that sometimes works out of sync or asynchronously through tasks like a loop.
The program below will demonstrate the use of a
def Func_CallBack(c): print("File Length : ", c) def File_Len(filepath, callback): i = open(filepath, "r") file_length = len(i.read()) i.close() callback(file_length) if __name__ == '__main__': File_Length("randomfile.txt", Func_CallBack)
In this example, we first define a function called
Func_CallBack, which returns the total length of the whole text file. Initially, the
Func_CallBack function takes the file path and the
callback modules as arguments. Finally, the function reads the whole file and returns the length of the file. In the end, the
Func_CallBack function calls to the
callback modules, which initially functioned as arguments.