4-bit Rules of Computing, Part 0

A little while ago, I published my 4-bit rules of computing and I promised to blog about them. So here is my first instalment in a series to explain these simple rules, a bit about why I like these over others, and my own take on this wisdom (since it isn't mine).

In this instalment: Rules 0 to 3 (the first 2 bits).

Rule 0: All rules are broken

Okay I'll admit first up: this is a cover-your-butt rule, but I think it also serves to remind me that one shouldn't slave to rules for their own sake: they are a guide only. Some rules are made to be broken too — relational databases should be 3rd Normal Form, for instance (not always).

Speaking of rules that you should not follow blindly, check out this presentation on YouTube by Raymond Hettinge, about why Python PEP 8 is not always helpful, and how one should think beyond just mechanically conforming to its requirements. This distils pretty much what I mean by Rule 0. There's lots about PEP 8 that's great, but following it to the detriment of gorillas is a broken approach.

I agree that you should not break rules for special cases, but some rules are more useful as you learn things and can be safely discarded when you know what you're doing. Also "practicality beats purity"...

Rule 1: The First Law: Nothing works First time

— Peter Lukes, Amstrad Computer User magazine, Issue 32, September 1987

I don't have the magazine article any more to verify the citation, but I believe the quote was something along the following lines:

So, you type your program in, save it, run it and it doesn't work (Lukes' first law of computing: nothing works first time). Now what? …

I remember who wrote the article because Peter Lukes' articles in ACU were a big inspiration in my early computing years. I fondly recall learning about recursion (using CPC Locomotive BASIC, which does not have functions, or a stack…) and other enlightening ways to think about computer programming. To this day, I still initial my code comments in a similar manner to his LKS870915, (although I use 4-digit years, at least since the Y2K jazz).

Anyway, besides the fun play on words, this rule reminds me to relax, step back and reflect that computing is non trivial.

There are those who like to boast about their programs compiling on the first try (but do they work?) and others who "test in production", but I at least, am human. Most likely you are too, and this is good.

Rule 2: Don't Repeat Yourself

(tip: computers are good at that…)

The DRY Principle is pretty fundamental, and I believe most people come to this conclusion themselves independently. For me, it was when I started to program on the BBC Micro in high school, using BBC BASIC (which, unlike the Locomotive BASIC, does have functions and also named procedures), and I started to make utility functions for my code. I also started to write programs using line-number blocks so that utility functions could be CHAIN MERGEd (CPC) or *LOADed (BBC) from different .BAS files without clobbering each other, and I could start to collect a library of commonly used routines and only write them once (kids today, with Python modules and name spaces don't know how good they have it).

In a nut-shell, DRY boils down to:

  • write and reuse code routines
  • store constant values in variables (or constants) rather than repeating the same number all over
  • store values in one well-known place only

A corollary to DRY is that computers are good at repeating themselves. Whenever you have to perform a task repeatedly, think about automating it. I start to think about it after I've done something three times.

Don't repeat yourself, make the computer do it.

Rule 3: python <(echo import this)

(Python PEP 20)

I'm surprised to learn that PEP 20 was only published in 2004, and not earlier. Anyway, there is much wisdom in these 19(+1) aphorisms, which is why they make it so high up on my personal list.

I think these aphorisms highlight that the hardest part of computers is actually people and the Zen of Python is to put people before computers.

The nice thing about these is that they are really easy to review even when you're offline (so long as you have a Python installed in your computer — and everyone SHOULD have Python installed …).