22 Monday Nov 2021
Posted in Python
Python has a feature called a generator — it’s a way of writing a function that allows that function to trade control back and forth with a calling function. It’s not something one needs often, but it can be very useful in certain situations.
Create a Python generator, firstly, in using yield instead of return and, secondly, by designing the function a little differently from one that generates and then returns a list of items.
03 Saturday Oct 2020
Posted in Python
For me, Python modules seem to divide into two basic classes: library modules and application modules. The former contain basic building blocks, but the latter has top-level routines the operating system invokes when it runs the application.
Today I thought I’d post about the application framework I use for all apps.
25 Saturday Apr 2020
Posted in Python
Tags
Aspect-Oriented Programming, computer language, programming language, Python 101, Python code, Python decorator
Last time I began exploring Python decorators, which are a way of having one function “wrap” another function. Because the wrapper has access to both the input parameters and the return value, it can modify these values (unbeknownst to the inner function).
This time I pick up where I left off by exploring decorators modifying return values, decorators that take parameters, and decorators in classes.
24 Friday Apr 2020
Posted in Python
I’ve been playing around with what Python calls decorators. They’re a built-in way of implementing Aspect-Oriented Programming techniques in Python. In fact, they’re quite powerful.
Since they aren’t a common language feature, they can be a little confusing at first, so I thought I’d try my hand at laying out how they work.
The Hard-Core Coder 