The question was "Favorite Design Patterns."
This is tricky because -- well -- so many patterns appear and re-appear in software. Picking a few from the vast world of patterns is fraught with difficulties.
Here are some thoughts:
I'm undecided if this goes into the next book. Maybe this is a teaser... And yes, this is a Python to the Rescue story.
I live on a boat. See Red Ranger Blog for details. What's essential is this little complication.
The South Gulf Cove Boat Lock.
The lock keeps …
more ...I'm undecided if this goes into the next book. Maybe this is a teaser... And yes, this is a Python to the Rescue story.
I live on a boat. See Red Ranger Blog for details. What's essential is this little complication.
The South Gulf Cove Boat Lock.
The lock keeps …
more ...For social contact, I'm generally following people on https://fosstodon.org/home. I'm https://fosstodon.org/@slott56.
Or @slott56@fosstodon.org <https://fosstodon.org/@slott56> as they say in the Fediverse.
But I saw some stuff on Twitter that was disheartening.
more ...I thought Python🐍wasn't strongly typed.🤔 But this code …
See https://www.packtpub.com/product/functional-python-programming-third-edition/9781803232577
Much newness here.
https://books.apple.com/us/book/pivot-to-python/id1586977675
I've recently updated this to fix some cosmetic problems with title pages, the table of contents and …
https://books.apple.com/us/book/pivot-to-python/id1586977675
I've recently updated this to fix some cosmetic problems with title pages, the table of contents and stuff like that. The content hasn't changed. Yet. It's still an introduction to …
When I talk about functional programming in Python, folks like to look for place where functional programming isn't appropriate. They latch onto finite-state automata (FSA) because "state" of an automata doesn't seem to fit with stateless objects used in functional programming.
This is a false dichotomy.
It's emphatically false in …
more ...This isn't about details of pySpark. This is about the philosophy of testing when working with a large, complex framework, like pySpark, pandas, numpy, or whatever.
Use data subsets.
Write unit tests for the functions that process the data.
Don't test pyspark itself. Test the code you write.
See https://towardsdatascience.com/building-generator-pipelines-in-python-8931535792ff
I'm delighted by this article.
I was shown only the first, horrible, example. I think the idea was to push back on the idea of complex generators. I fumed.
Then I read the entire article.
Now I'm fuming at someone who posted the first example …
more ...This is bonus content for the forthcoming Functional Python Programming 3rd edition book. It didn't make it into the book because -- well -- it was just too much of the wrong kind of detail.
See this "Tough TCO" document for some thoughts on Tail-Call Optimization that can be particularly difficult. This …
more ...