This is a simple example to show how Asyncio works without using Asyncio itself, instead using a basic and poorly written event loop. This is only meant to give a flavor of what Asyncio does behind the curtains. I’m avoiding most details of the library design, like callbacks, just to keep this simple. Since this is written as an illustration, rather than real code, I’m going to dispense with trying to keep it 2.7 compatible.
[Read More]Slots in Python
Slots seem to be poorly documented. What they do is simple, but whether they are used is tricky. This is a little mini-post on slots.
[Read More]Basics of metaclasses
This is a quick tutorial over the basics of what metaclasses do.
The Metaclass
Metaclasses, while seemingly a complex topic, really just do something very simple. They control what happens when you have code that turns into a class object. The normal place they are executed is right after the class statement. Let’s see that in action by using print as our metaclass.
[Read More]Factory classmethods in Python
I haven’t seen a great deal of practical documentation about using classmethods as factories in Python (which is arguably the most important use of a classmethod, IMO). This post hopes to fill in that gap.
[Read More]Making an autoload extension for IPython
I recently decided to try my hand at making an auto-load extension for Python and Plumbum. I was planning to suggest it as a new feature, then I thought it might be an experimental feature, and now it’s just a blog post. But it was an interesting idea and didn’t seem to be well documented process on the web. So, here it is.
The plan was to make commands like this:
[Read More]
Uncertainty extension for IPython
Wouldn’t it be nice if we had uncertainty with a nice notation in IPython? The current method would be to use raw Python,
from uncertainties import ufloat
print(ufloat(12.34, 0.01))
12.340+/-0.010
Let’s use the infix library to make the notation easier. We’ll define |pm| to
mean +/-.