Well, in Python, when you create an object and then call a method on it (like `obj.meth(x, y)`), the interpreter creates a new object called a bound method that contains both the original function and a reference to the calling object. This is great for encapsulation and code reuse, but it can also be expensive in terms of memory allocation and initialization.

But don’t freak out, bros! PyPy has got your back with some sweet bytecode optimizations that will make your method calls faster than a cheetah on roller skates.

Instead of creating a new bound method object for every single method call (which can be quite costly), PyPy uses two special bytecodes called `CALL_METHOD` and `LOAD_ATTR_FAST`. These bad boys allow the interpreter to directly access the function object without having to create a new bound method object.

Here’s how it works: let’s say you have an object `obj` with a method `meth`, and you want to call that method with arguments `x` and `y`. Instead of creating a new bound method object, PyPy uses the following bytecode sequence:

# This script is used to call a method on an object without creating a new bound method object.

# First, we load the global variable 'obj' onto the stack.
LOAD_GLOBAL obj

# Next, we load the attribute 'meth' from the object 'obj'.
LOAD_ATTR meth

# Then, we use the FAST_CALL function to call the method 'meth' on the object 'obj' with 2 arguments.
FAST_CALL 2

# The purpose of this script is to efficiently call a method on an object without creating a new bound method object. 
# This is achieved by using the FAST_CALL function, which allows for C-level function calls to be made without creating a new bound method object.

This bytecode sequence is much faster than the standard one because it avoids creating a new bound method object and instead uses fast C-level function calls to execute the `meth` function directly on the calling object.

And if that wasn’t enough, they’re also easy to understand and implement (unlike some other optimization techniques). So go ahead and give them a try in your next project you won’t regret it!