import math

print("n1?")
n1 = float(input())
print("n2?")
n2 = float(input())
print("pre sd1?")
sd1 = float(input())
print("pre sd2?")
sd2 = float(input())
print("pre mean1?")
pre1 = float(input())
print("post mean1?")
post1 = float(input())
print("pre mean2?")
pre2 = float(input())
print("post mean2?")
post2 = float(input())

def pooledSD(n1,n2,sd1,sd2):
  return math.sqrt(((n1-1)*sd1**2 + (n2-1)*sd2**2)/(n1+n2-2))

def ppc(preMean1, preMean2, postMean1, postMean2, prePoolSD):
  return ((postMean1 - preMean1) - (postMean2 - preMean2)) / prePoolSD

print("Pooled pre SD")
sd = pooledSD(n1,n2,sd1,sd2)
print(sd)
  
print("PPC ES")
print(ppc(pre1, pre2, post1, post2, sd))

Effect size calculator using method described by Morris, S. B. (2007). Estimating Effect Sizes From Pretest-Posttest-Control Group Designs. Organizational Research Methods, 11(2), 364–386. doi:10.1177/1094428106291059

Pretest-Posttest-Control Group effect size calculator

Python