The string "Hello there" is created and stored in memory as a Python object. The name x is created in the local namespace and pointed at that object, which increases its reference count by 1, to 1.

In Python, the way you manage your data can have a significant impact on memory usage. By understanding the implications of different data structures, you can write more efficient and effective code.

Effective memory management ensures your programs run efficiently, particularly when dealing with large data structures. Python's dynamic nature means it handles much of the memory management for ...

It also stores numerical data more efficiently than Python’s built-in data structures. Another boon with NumPy is more efficient use of memory for large objects, such as lists with millions of ...