Femto-Emacs is an Emacs clone built on the Scheme dialect femtolisp.
How To Build A USB Puzzle Box?
It would be fun to build a USB puzzle box. Here is how it would work after you plug it in:
- It would illuminate it’s buttons in an entertaining pattern
- If you punch in the secret code it would unlock it’s storage drive
- If you punch in the wrong code it would reboot your computer
It is supposed to be fun. I haven’t thought too deeply about this, but it is supposed to be fun no encryption or anything. The security comes from the device simply not even showing up as a storage device until you “unlock” it.
Since I’m on OS X, this seemed like a good place to start.
Every LEE Diffusion Compared
This presentation demonstrates the difference between every LEE Filter out there. For me it is introductory and amazing. Just reading about the properties of the filter doesn’t mean much to me but seeing them in action is amazing. Subtle power comes to mind here, wow!
A Calendar Framework For Emacs
emacs-calfw is a calendar framework for Emacs. It looks beautiful, thoughtful, well thought out, and well-developed. That is from reading its landing page, I never used it. I use Google Calendar, and, this package is still intriguing because every question I could come up with was well answered on that landing page.
Desoldering Irons
Top 10 DTrace scripts for Mac OS X
This post demonstrates some powerful dtrace scripts for OS X.
Did you know that OS X has dtrace running on it?! I didn’t.
Easily Browse Imenu Entries In A Buffer
Imenu is an under-recognized gem of a package. One way to make it more accessible is to utilize it via a buffer instead of going up to a menu.
imenu-list does just that. It is shockingly powerful because nearly every package has Imenu integration, it is fast, easy to read, and lets you quickly jump around and exit the mode just as easily as you entered it.
Easily Write Modular Screenplays
Introduction to Wire Wrap
Fun to learn about this wiring technique via Introduction to Wire Wrap.
Following Benford's Law, or Looking Out for No. 1
Fraudulent data never contains enough samples that start with the number one!