The easiest and straightforward way to help python would be taking the mantle
of implementing PEP 638 or restarting the development of a library for
syntactic macros since you believe it will be a benefit to Python in general.
Sent from my iPhone
> On Feb 5, 2023, at 3:58 PM, [email protected] wrote:
>
>
>>
>> Python has consistently refused to be turned into a platform for DSLs for
>> almost 3 decades.
>
> I think SymPy, PyMC, Pyomo, Pyro, and many more packages would all be very
> surprised to hear they're no longer welcome in Python. Still, it seems like
> it would be quite hard to kick them out, and would probably make the
> scientific programming community pretty angry. If you don't like having DSLs
> in Python, I think you're trying to close the barn door after the horse has
> bolted; you'd have to go back in time to the creation of NumPy.
>
> Syntactic macros aren't necessary for DSLs; it just makes them better.
> Without syntactic macros, DSLs are forced to use clunky, complicated, and
> error-prone string manipulation, rather than cleaner syntactic
> transformations. For instance, here's NumPy's einsum, effectively behaving
> like a string macro:
> ```
> X = np.einsum('ij,jk->ik', A, B, optimize='optimal')
> ```
>
> And now here's the same thing in Julia:
> ```
> @einsum X[i, k] := A[i, j] * B[j, k]
> ```
>
> Which is more readable? Which is more Pythonic?
>
> It's not that Python doesn't have DSLs (NumPy is effectively a DSL for linear
> algebra). It's just that their syntax is sufficiently obscure that it's not
> at all clear that's what they're doing.
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