Define a polynomial ring and the desired degree of your homogeneous polynomials:

```
R.<x,y,z,w> = PolynomialRing(GF(2))
degree = 3
```

A monomial should be a product of `degree`

many variables (where some can coincide):

```
from itertools import combinations_with_replacement
monomials = [prod(c) for c in combinations_with_replacement(R.gens(), degree)]
```

Choose coefficients in all possible ways:

```
from itertools import product
polynomials = [sum(c*m for (c,m) in zip(coeffs, monomials)) for coeffs in product(R.base_ring(), repeat=len(monomials))]
```

Note not all of these give meaningfully different equations, e.g. $F=0$ is equivalent to $cF=0$ for $c\neq 0$, and many are related by coordinate changes.

You can define $\mathbb{P}^3$ as

```
P3 = ProjectiveSpace(3, R.base_ring(), names=R.gens())
```

so you can do e.g.

```
sage: P3.subscheme(polynomials[50]).point_set()
Set of rational points of Closed subscheme of Projective Space of dimension 3 over Finite Field of size 2 defined by:
y^2 + y*z + z*w
```