24 Wednesday Nov 2021
Posted in Python
In the last two posts I’ve explored Python generator functions. The first post went over the basics and showed how they return an iterable object usable in for-loops and list constructors. The second post explored how generator functions work in more detail.
This time I’ll wrap it up with some examples that are a bit more involved. If Python generators were a mystery before these three posts, I hope you feel more comfortable with them after!
23 Tuesday Nov 2021
Posted in Python
Last time I began exploring Python generator functions. I mostly covered their basic function as iterables, and why they’re good in for-loops. They’re also good for infinite lists. Much of their value lies in how they defer processing an item until it is actually asked for.
This time I’ll dig into the send method, which allows sending messages to a running generator. I’ll also introduce the yield from statement, which allows us to wrap a generator with another function that also acts like a generator.
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 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.
The Hard-Core Coder 