%%apl
y←⍳3
z←y×y[1, 4, 9]
apl magicsaplnb
aplnb adds %apl and %%apl functions to Jupyter and IPython, which exectute expressions in Dyalog APL.
First, install Dyalog APL. Dyalog provides a basic license for free. Once Dyalog is installed, install aplnb with:
pip install aplnb
Once that’s complete, you can install the magics to all IPython and Jupyter sessions automatically by running in your terminal:
aplnb_install
After first running an apl magic in a notebook, the APL language bar by Adám Brudzewsky is automatically added to the current page. (There is one change to Adám’s original version, which is that you can type a backtick twice in a row to enter triple backticks. To get a ⋄ glyph, type backtick-q.)
You can use either a cell magic (%%ai) or a line magic (%ai). In either case the expression is evaluated and returned:
You can store the value of an expression in a python variable using the line magic. Scalars, lists, and nest lists are used:
To avoid having the expression returned and/or displayed, end the last line with a ;.
You can print from cell magics using the standard APL ⎕ glyph:
To use numpy, just pass the result of %apl into np.array:
The fibonacci sequence:
Explanation:
1 1: Initial seed (first two Fibonacci numbers){⍵,+/¯2↑⍵}: Function that appends the sum of the last two elements⍣15: Apply the function 15 times⊢: Identity function, passes the initial argument (1 1) to the iterationPrime number sieve:
[2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47]
Explanation:
⍳50 generates integers 1 to 50⍵∘.|⍵ creates a 50x50 matrix of divisibility (1 if divisible, 0 if not)0= inverts the matrix (1 for non-divisible)+⌿ sums columns, counting non-divisors for each number2= checks if count equals 2 (prime property)⍵× multiplies result with original numbers, keeping primes~0 removes zero from the resultTo start learning APL, follow the 17 video series run by Jeremy Howard, and have a look at the study notes. Note however that the comments there about using commands starting with ], such as ]Help ≠, will not work with aplnb, so you should skip them.