def programming

It can be better to copy a little code than to pull in a big library for one function. Dependency hygiene trumps code reuse.

Data dominates. If you’ve chosen the right data structures and organized things well, the algorithms will almost always be self-evident. Data structures, not algorithms, are central to programming. 

on data

Languages that try to disallow idiocy become themselves idiotic.

Object-oriented design is the roman numerals of computing.

on oop

Such is modern computing: everything simple is made too complicated because it's easy to fiddle with; everything complicated stays complicated because it's hard to fix.

Another effective technique is to explain your code to someone else. This will often cause you to explain the bug to yourself. Sometimes it takes no more than a few sentences, followed by an embarrassed "Never mind, I see what's wrong. Sorry to bother you." This works remarkably well; you can even use non-programmers as listeners. One university computer center kept a teddy bear near the help desk. Students with mysterious bugs were required to explain them to the bear before they could speak to a human counselor.

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Source code available @ githubpull requests are more than welcome ;-)