feat: derivates

src/modules/math.py

@@ -2,7 +2,7 @@ from cmath import log as complex_log  # used for complex numbers
 from math import e, exp, log
 
 # Sympy is powerful since it does not make aproximations, it keeps every primitive as it is, this means that it's slower but more precisse
-from sympy import limit, oo, symbols
+from sympy import diff, limit, oo, symbols
 
 
 def t_summ():
@@ -50,3 +50,13 @@ def t_calculate_e_limit():
 	x = symbols("x")
 	f = (1 + 1 / x) ** x
 	return limit(f, x, oo)
+
+# Calculate the slope by taking a close enough point
+def t_calculate_derivative(f, x, step_size):
+	return (f(x + step_size) - f(x)) / (x +step_size - x)
+
+def t_build_derivate(f):
+	return diff(f)
+
+def t_build_partial_derivate(f,symbol):
+	return diff(f, symbol)