Python

We are storing configurations. Let’s assume we are working on a store and we want to save prices for different products. But there are a set of configurations we have to consider1: We are working over multiple countries. Every country has got some locations. Every location has a set of articles. For an article, I might have multiple sizes. Finally, for every size I have got prices. Now let’s say that we want to store all of that in a Python dictionary. Luckily, the set of options is not too large, so that we can easily store it in a nested dictionary, which looks something like that: ...

I transferred a job that now does not run in Node-Red any more, but in Python.

I learned about PyEnv and want to write down the most important learnings.

As it turns out, Python does not do commercial rounding. What is commercial rounding? For most digits, the direction of rounding is clear. There are some special cases though: Do I round $0.5$ to $0$ or to $1$? In commercial rounding, this “$0.5$” problem is solved by “rounding away from zero”, meaning: For positive numbers, round up; for negative numbers, round down. This makes perfect sense for a mathematician, but others might need examples, so here are some1: ...

I learned about negative timedeltas in Python’s datetime library and find it a bit counterintuitive.

I created my first SVG image by hand and want to write down what I learned on the way.

I can easily write nested with statements in Python.

I want to check if a string is an URL and created a regular expression for that.

I receive a file with multiple JSON objects in a row. I want to decode them one after another.

Documentation how I have setup my Jupyter Notebook Setup.

How to read a JSON document from an Azure (Blob) Storage Account and use that in an Azure Function.

I want to deploy a FastAPI app via Azure App Services.

I found a first use case where I actually need Python’s walrus operator!

I failed with time zones.

In edge cases, a consumer does not report the offsets I assumed he would report.