## # Documentation

Some brief documentation to start out with.

## Tables

Create a table with a single cell

```
#value = 1
#name = "Alan Turing"
```

Create an array

```
#vector = [1 2 3]
```

Create a column array

```
#column = [1; 2; 3]
```

Create a 2D table

```
#two-by-three = [1 2 3
4 5 6]
```

Create a table with named columns

```
#with-columns = [|name age height|
"Yan" 20 100
"Seth" 23 102]
```

Create an inline table

```
#inline-table = [name: "Yan" age: 20 height: 100]
```

Create a nested table

```
#nested-table = [type: "div" parameters: [width: 100 height: 50]]
```

## Slicing Tables

Tables are 1-indexed, meaning the first element of the table is at index 1 (not 0 as in C-like languages)

Tables are indexed with the index operator {}. For example, we can get the 3rd element of a vector:

```
#slice1 = #vector{3}
```

Get the 2nd row, 3rd column:

```
#slice2 = #two-by-three{2,3}
```

Grab every row or column with the : operator

```
#slice3 = #two-by-three{:,3}
```

Slice a range of columns

```
#slice4 = #two-by-three{1,2:3}
```

Access a named column

```
#slice5 = #with-columns.height
```

Or a specific row of a column

```
#slice6 = #with-columns.height{2}
```

But you can still use indexes on tables with named columns

```
#slice7 = #with-columns{2,3}
```

Access the value of a nested table by chaining {} operators

```
#slice8 = #nested-table{2}{1}
```

## Math

Mech identifiers can contain - and / characters, which means math operators aside from negation must have spaces around them.

Math with scalars

```
#result1 = 1 + 2
```

Math with negation

```
#result1 = 1 + -(7 + 2)
```

Math with scalar and vector

```
x = [1 2 3]
#result2 = x + 1
```

Math with vectors. The operator is applied element-wise

```
x = [1 2 3]
y = [4 5 6]
#result3 = x + y
```

Element-wise operations apply to 2d tables as well

```
x = [1 2 3
4 5 6]
y = [7 8 9
6 5 4]
#result4 = x + y
```

Functions use named arguments. The same function can have different arguments depending on the input

```
#result5 = math/sin(degrees: 90)
#result6 = math/sin(radians: 90 * 3.14 / 180)
```

The input to a function can be a column. Regular functions operate element-wise on columns, and result in a column

```
x = [30; 60; 90; 180; 240; 360]
#result7 = math/sin(degrees: x)
```

Aggregates operate on a column, but the result is a single cell

```
x = [30; 60; 90; 180; 240; 360]
#result8 = stats/sum(column: x)
```