The continue command is used to resume execution until the next breakpoint is encountered in the Pdb debugger. It allows you to skip over code sections you're not interested in debugging.

Decorators in Python are primarily used to add metadata or behavior to functions and classes without modifying their source code directly. They are often used for tasks like logging, authentication, and access control.

The primary purpose of a debugger in Python development is to identify and fix code errors (bugs). Debuggers allow developers to step through code, inspect variables, and understand the flow of their programs to pinpoint and resolve issues. While unit tests are important, debugging is a distinct process.

To obtain all the keys from a Python dictionary, you should use the keys() method. This method returns a view object that displays a list of all the keys in the dictionary.

In Python, to represent a constant property in a class, you would typically use the readonly keyword. It ensures that the property cannot be modified after it's assigned a value.

In Python, the __new__ method in a metaclass is executed when a new class is created. It allows you to customize the creation process of classes before __init__ is called.

In Python, the finalize method is used to perform cleanup activities and delete an object. This method is called automatically by the garbage collector before reclaiming the memory used by the object.

The algorithm that follows the 'divide and conquer' strategy is Quick Sort. In Quick Sort, the array is divided into smaller subarrays, sorted separately, and then combined.

The process of visiting all the nodes of a tree and performing an operation is known as tree traversal. Tree traversal is essential for various tree-based algorithms and operations like printing the contents of a tree.

In Python, you can concatenate two tuples using the + operator. The + operator is used for concatenating sequences, including tuples. For example, tuple1 + tuple2 will combine the elements of both tuples.