How can I use SymPy for parallel computing?

How can I use SymPy for parallel computing?

You can use SymPy in conjunction with libraries like Dask or Joblib to perform parallel computations. Would you like an example?

Yes, please provide an example of using Dask with SymPy.

Sure! First, install Dask using pip install dask. Then, you can use it to parallelize SymPy tasks like this:

import sympy as sp
from dask import delayed, compute

x = sp.symbols('x')

@delayed
def compute_expression(expr):
    return expr.evalf()

expressions = [x**2 + 2*x + 1, sp.sin(x), sp.exp(x)]
results = compute(*[compute_expression(expr) for expr in expressions])
print(results)

What if I want to use Joblib instead?

You can use Joblib's Parallel and delayed functions. Here's how you can do it:

from sympy import symbols, sin, exp
from joblib import Parallel, delayed

x = symbols('x')

def compute_expression(expr):
    return expr.evalf()

expressions = [x**2 + 2*x + 1, sin(x), exp(x)]
results = Parallel(n_jobs=-1)(delayed(compute_expression)(expr) for expr in expressions)
print(results)