To avoid hardcoding URLs in Django templates, you can use the {% url 'url_name' %} template tag, which dynamically generates URLs based on the URL patterns defined in your Django project. This promotes maintainability and helps prevent broken links when URLs change.

To call a function defined in a module, you use the module name followed by a dot and then the function name. In this case, it would be my_module.my_function().

You can call a method of the parent class from within a method of the child class using the super() function followed by the method you want to call. This allows you to access and execute the parent class's method.

You can change the order of method resolution in multiple inheritance in Python by using the C3 Linearization algorithm (C3 superclass linearization). This algorithm calculates the order in which base classes are considered when looking up methods. The super() function is used to call methods in the method resolution order, but it doesn't change the order itself. Changing the order of base classes in the class definition directly affects method resolution but is discouraged. There is no standard @method_resolution decorator in Python.

You can configure a Flask application to use an external configuration file by creating a separate Python module with configuration settings and importing it into your Flask app. This allows for better separation of concerns and easier configuration management. Options a, c, and d are not recommended practices.

To create a decorator that takes arguments, you can define a function that accepts those arguments and returns a decorator function. This allows you to customize the behavior of the decorator based on the arguments provided.

You can create a generator in Python by defining a function with the yield keyword. When the function is called, it returns an iterator that generates values one at a time when you iterate over it. This is a fundamental feature for working with large datasets efficiently.

A Red-Black Tree is a type of binary search tree that automatically balances itself during insertions and deletions to ensure the tree remains approximately balanced. This property ensures efficient search and insertion operations.

In Python, a for loop is commonly used to iterate over a sequence (such as a list) a specified number of times. The for loop iterates over the elements of the sequence, executing the block of code for each element.

A Merge sort is a highly efficient sorting algorithm that uses a divide-and-conquer approach to sort an array. It repeatedly divides the array into smaller sub-arrays until each sub-array is sorted, then merges them back together to achieve the final sorted order.