Python Objects: Data Structures and Dynamic Typing

Python, Objects

We'll look at Python programming objects. You will have a solid understanding of the idea that everything in Python is an object by the time this video is over.

In programming, an object is a data structure that stores data and has methods attached to it. Primitive data types and more sophisticated data structures like lists are both considered objects in Python.

We learn how Python implements the idea of dynamic typing. This implies that multiple data types, such integers and floating-point values, can be assigned to the same variable.

Everything in Python is an object, thus this is feasible.

Python produces an object to contain the value you give to a variable when you say "x = 3," in this example a PyIntObject with the value 3. Additionally, this object contains data that Python needs to function properly, such the object type, the number of references to the object, and other specifics.

If "x = 4.5," a PyFloatObject is constructed with the specified value and the variable x is made to refer to it.

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In Python, memory space associated with objects that are no longer in use is automatically released by the garbage collector.

The "is" operator can be used to determine whether two variables are pointing at the same object. When "x is y" yields "True," it means that the two variables refer to the same thing. Use the "==" operator to determine whether two variables have the same value.

The Python shell allows you to execute and test your code. To view the results, try setting values for variables and doing "is" and "==" comparisons.

As you learn Python, feel free to play about and experiment with your code