Both k language and numpy are array language implementations for numeric-intensive computation. Well, they’re of course more, you can read about them following the links above.
| k |
numpy |
| +a |
transpose(a) |
| a+3 |
a+3 |
| -a |
-a |
| a-3 |
a-3 |
| *a |
a[0] |
| a*3 |
a*3 |
| a*b |
a*b |
| %a |
1./a |
| a%3 |
a/3. |
| &a |
???
|
| a&3 |
where(a<3,a,3) |
| |a |
a[::-1] |
| a|b |
where(a>b,a,b) |
| 4|a |
where(a>4,a,4) |
| < a |
argsort(a)[::-1] |
| a < b |
a < b |
| >a |
argsort(a) |
| a>b |
a>b |
| =a |
NA (not rectangle result) |
| a=3 |
a==b |
| ^a |
shape(a) |
| a^3 |
a**3 |
| !3 |
arange(3) |
| 3!a |
roll(a,3) |
| a!3 |
a%3 |
| ~a |
a==0 |
| a~b |
any(a==b) |
| ,3 |
array([3]) |
| a,b |
hstack([a,b]) |
| #a |
size(a) |
| 3#a |
resize(a, 3) |
| 2 3#a |
resize(a, [2,3]) |
| _ a |
floor(a) |
| 3_ a |
a[3:] |
| 2 3_ a |
NA (not rectangle result) |
| $a |
asarray(a,dtype=str) |
| 3$a |
Use standard python formatting
|
| ?a |
unique(a) |
| a?3 |
nonzero(a==3)[0][0] |
| @a |
not ndim(a) |
| a@3 |
a[3] |
And some often used expressions
| a[&a>b] |
a[a>b] |
| #^a |
rank(a) |
| (#a)>a?3 |
any(a==3) |
| a[>a] |
sort(a) |
