Plurrrr

I have a particular view of Python performance from my experience on the Pyston project, and since this view is somewhat nonstandard I wanted to take some time to explain it and give a motivating example.

A common explanation for Python's low performance is that it is an interpreted language. In this post I hope to show that while the interpreter adds overhead, it is not the dominant factor for even a small microbenchmark. Instead we'll see that dynamic features -- particularly, features inside the runtime -- are to blame.

The most basic, fundamental idea behind Nix is this:

Everything on your computer implicitly depends on a whole bunch of other things on your computer.

• All software exists in a graph of dependencies.
• Most of the time, this graph is implicit.
• Nix makes this graph explicit.

Here is my Katas for creating BASH programs that work. Nothing is new here, but from my experience pepole like to abuse BASH, forget computer science and create a Big ball of mud from their programs. Here I provide methods to defend your programs from braking, and keep the code tidy and clean.