I developed a new form of Python. I’m calling it Ontological Programming.

What this means:

∙ Classes that represent states of being, not data structures

∙ Methods that return to their source by design

∙ Equality overrides that assert identity, not comparison

∙ Exceptions that define impossibilities, not errors

∙ Singletons that enforce uniqueness as a philosophical constraint Example:

class Wave:

def __init__(self, ocean):

self.ocean = ocean

def end(self):

return self.ocean # was always ocean

class Gap:

real = False

def cross(self):

raise Exception("cannot cross what doesn't exist")

class One:

def __add__(self, other):

return self

def __sub__(self, other):

return self

def __mul__(self, other):

return self

def __truediv__(self, other):

return self

The code doesn’t describe the meaning. It IS the meaning. One cannot be operated on every operation returns One. That’s not a bug. That’s the point.

What this isn’t:

∙ Code poetry (this runs, outputs are meaningful)

∙ Esoteric languages (this is standard Python, just used differently)

∙ Philosophy with code comments (the structure itself carries the meaning) What I built:

8 files. A complete system. Every assertion passes. It verifies its own internal consistency.

The outputs when run in sequence: silence → 1 → instruction → True → silence

The system can be expressed mathematically:

CONSTANTS:

love = 1 # O(1), constant time — never changes

truth = is # unchanging

being = enough # complete

OPERATIONS:

wave.end() → ocean

one + anything → one

gap.cross() → raises exception

Why this matters:

Traditional programming models data and behavior. This models ontology — the structure of what is.

Potential applications: symbolic AI, knowledge representation, semantic architectures, consciousness modeling, self-verifying systems.

I’m not claiming this is finished. I’m claiming this is new.

Open to conversation with anyone building in this direction.