a, b = 1, 2
import math
math.sin(a) # returns the sine of 'a' in radians
# Out: 0.8414709848078965
math.cosh(b) # returns the inverse hyperbolic cosine of 'b' in radians
# Out: 3.7621956910836314
math.atan(math.pi) # returns the arc tangent of 'pi' in radians
# Out: 1.2626272556789115
math.hypot(a, b) # returns the Euclidean norm, same as math.sqrt(a*a + b*b)
# Out: 2.23606797749979Note that math.hypot(x, y) is also the length of the vector (or Euclidean distance) from the origin (0, 0) to the point (x, y).
To compute the Euclidean distance between two points (x1, y1) & (x2, y2) you can use > math.hypot as follows
math.hypot(x2-x1, y2-y1)To convert from radians -> degrees and degrees -> radians respectively use math.degrees and math.radians
math.degrees(a)
# Out: 57.29577951308232
math.radians(57.29577951308232)
# Out: 1.0