dyalog / dyalog-jupyter-notebooks Goto Github PK

It makes a lot of assumptions about the reader's knowledge of binary data and logic gates. For example, it is not obvious that the binary descriptions are the truth tables for these gates on 2 1-bit inputs.

https://nbviewer.org/github/Dyalog/dyalog-jupyter-notebooks/blob/master/Boolean%20Scans%20and%20Reductions.ipynb

https://render.githubusercontent.com/view/ipynb?commit=8cbcf0fdba9d2e994dfc70eefd485458f5c7b263&enc_url=68747470733a2f2f7261772e67697468756275736572636f6e74656e742e636f6d2f4479616c6f672f6479616c6f672d6a7570797465722d6e6f7465626f6f6b732f386362636630666462613964326539393464666337306565666434383534353866356337623236332f52616e6b253230616e6425323044657074682e6970796e62&nwo=Dyalog%2Fdyalog-jupyter-notebooks&path=Rank+and+Depth.ipynb&repository_id=138751474&repository_type=Repository#Enlcose

You can see it even in the link: "Enlcose" instead of "Enclose".
Good stuff, by the way!
The formatting of the output, at least in the github viewer, is suboptimal, though. In some cases, like the explanation of the monadic unique on matrices, it's confusing, since the matrix is flattened into what appears to be a vector...

+/3 1 4 1 5
14
3 + 1 + 4 + 5
13

⍝⍝⍝ The 2nd line should have the same numbers as the first and should give 14. This was reported to Dyalog Support by a user.

#23
also, the Booleans for these are incorrect!

Seems relevant: https://www.sacrideo.us/suggestivity-and-idioms-in-apl/