feat: math chapter done + editorconfig + remove pycache

src/main.py

@@ -1,55 +1,13 @@
 from sympy import diff, limit, oo, symbols
 
 from modules.math import (
-	t_build_derivate,
-	t_build_derivative_from_limit,
-	t_build_partial_derivate,
-	t_calculate_derivative_limit,
-	t_calculate_e,
-	t_calculate_e_limit,
-	t_compound_interest,
-	t_compound_interest_algorigthm,
-	t_compound_interest_continious,
-	t_compound_interest_continious_exp,
-	t_exponent,
-	t_limit,
-	t_logarithm_natural,
+	test_math_module
 )
 from modules.strings import t_strings
 
 if __name__=="__main__":
 	t_strings()
-	t_exponent(2,8)
-	print(t_compound_interest(100, 20 / 100, 2, 12))
-	print(t_compound_interest_algorigthm(100, 20 / 100, 2, 12))
-	print(t_compound_interest_continious(100, 20 / 100, 2))
-	print(t_compound_interest_continious_exp(100, 20 / 100, 2))
-	print(t_calculate_e(1000000000000))
-	print(t_logarithm_natural(10))
-	print(t_limit())
-	print(t_calculate_e_limit())
-	print(t_calculate_e_limit().evalf())
-	x = symbols("x")
-	derivative = t_build_derivate(x ** 2)
-	value_on_two = derivative.subs(x,2)
-	print(derivative, value_on_two)
-	# Partial derivates are applied to one variable at a time
-	y = symbols("y")
-	z = symbols("z")
-	partial_derivative_y = t_build_partial_derivate((3 * y ** 3) + 2 * z ** 2, y)
-	partial_derivative_z = t_build_partial_derivate((3 * y ** 3) + 2 * z ** 2, z)
-	print(partial_derivative_y, partial_derivative_z)
-	print(t_build_derivative_from_limit(x ** 2))
-	print(t_calculate_derivative_limit(x ** 2, 2))
 
-	## Chain rule
-	# for a given function y (lets say y = x ** 2 + 1) and another z (lets say z = y ** 3 - 2), we can find a derivativeof z with respect to x by multiplying the derivatives
-	# normal derivative calc
-	x = symbols("x")
-	z = (x ** 2 + 1) ** 3 - 2
-	print(t_build_derivate(z))
-	# chain rule calc
-	x, y, z = symbols("x y z")
-	y_f = x ** 2 + 1
-	z_f = y ** 3 - 2
-	print(t_build_derivate(y_f), t_build_derivate(z_f))
+	print(">> Math module")
+	test_math_module()
+	print(">>>>>>>>>>>>>>>>>>>>")