Our great sponsors
-
-
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
>> What are the current common libraries also doesn't really have a simple answer. Maybe this should be auto-generated based on Google or GitHub trends.
I followed the Python and PSF community very closely for about 12 years through 2018. I haven't kept up for personal reasons. I suspect they are uncomfortable with doing this because they don't want to feel like they are picking winners. Whatever they list will be "blessed" no matter how many disclaimers are attached. In a way, I observe a similar problem impacting how they've approached ecosystem problems like packaging. There is a clear issue and a central authority was needed to sort it out and that never emerged when it was originally required.
Right now PyPI highlights some trends (https://pypi.org), but there is more they could do. Python success stories at https://www.python.org/success-stories/ could probably be evolved to highlight some of the libraries and tools which get serious usage. Anything that's autogenerated from other sources probably has value, but would only be something that would be compatible if it's detached from python.org. Expanding PyPI trend information would be more compatible with python.org.
I was looking for an example of using locals() to "fill a data class from kwargs" or something similar to that. The example here doesn't use locals().
That aside, I generally wouldn't use the kwargs approach shown in this example either. I'd use [dataclasses](https://docs.python.org/3/library/dataclasses.html ) or [attrs](https://www.attrs.org/) instead.