Basic math operations
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* TOC
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Questions to David Rotermund
Number is Python
In Python everything is a class. Numbers are classes as well.
Integer
a_number = 0
print(type(a_number)) # -> <class 'int'>
FLOATing point number
a_second_number = 3.33
print(type(a_second_number)) # -> <class 'float'>
Conversion (i.e. casts) between types
a_second_number = 3.33
a_second_number = int(a_second_number)
print(type(a_second_number)) # -> <class 'int'>
Examples are here:
Order of operations:
- Parentheses
- Exponents
- Multiplication/Division
- Addition/Subtraction
| Operator |
Description |
| x + y |
sum of x and y |
| x - y |
difference of x and y |
| x * y |
product of x and y |
| x / y |
quotient of x and y |
| x // y |
floored quotient of x and y |
| x % y |
remainder of x / y |
| -x |
x negated |
| +x |
x unchanged |
| Operator |
Description |
| abs(x) |
absolute value or magnitude of x |
| int(x) |
x converted to integer |
| float(x) |
x converted to floating point |
| complex(re, im) |
a complex number with real part re, imaginary part im. im defaults to zero. |
| c.conjugate() |
conjugate of the complex number c |
| divmod(x, y) |
the pair (x // y, x % y) |
| pow(x, y) |
x to the power y |
| x ** y |
x to the power y |
"True division"
print(5 / 2) # -> 2.5
print(6 / 2) # -> 3.0
“Floor division”
print(5 // 2) # -> 2
print(6 // 2) # -> 3
| Operation |
Result |
| x or y |
if x is false, then y, else x |
| x and y |
if x is false, then x, else y |
| not x |
if x is false, then True, else False |
| Operation |
Meaning |
| < |
strictly less than |
| <= |
less than or equal |
| > |
strictly greater than |
| >= |
greater than or equal |
| == |
equal |
| != |
not equal |
| is |
object identity |
| is not |
negated object identity |
| Operation |
Result |
| x | y |
bitwise or of x and y |
| x ^ y |
bitwise exclusive or of x and y |
| x & y |
bitwise and of x and y |
| x << n |
x shifted left by n bits |
| x >> n |
x shifted right by n bits |
| ~x |
the bits of x inverted |
You need to include the math lib for that! (Only once per .py file and in the beginning of the file)
However, don't get used to it. As a data scientist you will not use it. You will use Numpy.
import math
print(math.cos(math.pi))
Examples
| Number-theoretic and representation functions |
| math.ceil(x) |
| math.comb(n, k) |
| math.fabs(x) |
| math.factorial(n) |
| math.floor(x) |
| math.fmod(x, y) |
| math.fsum(iterable) |
| math.isclose(a, b, *, rel_tol=1e-09, abs_tol=0.0) |
| math.isfinite(x) |
| math.isinf(x) |
| math.isnan(x) |
| math.perm(n, k=None) |
| math.prod(iterable, *, start=1) |
| math.trunc(x) |
| Constants |
| math.pi |
| math.e |
| math.inf |
| math.nan |
| Power and logarithmic functions |
| math.cbrt(x) |
| math.exp(x) |
| math.exp2(x) |
| math.expm1(x) |
| math.log(x[,base]) |
| math.log1p(x) |
| math.log2(x) |
| math.log10(x) |
| math.pow(x, y) |
| math.sqrt(x) |
| Trigonometric functions |
| math.acos(x) |
| math.asin(x) |
| math.atan(x) |
| math.atan2(y, x) |
| math.cos(x) |
| math.sin(x) |
| math.tan(x) |
| math.dist(p, q) |
| Hyperbolic functions |
| math.acosh(x) |
| math.asinh(x) |
| math.atanh(x) |
| math.cosh(x) |
| math.sinh(x) |
| math.tanh(x) |
