Always have, always will.

I use FairEmail and paid the 7€ for the Pro features.

My grandparents who lived in the Rhein area had to evacuate twice a year on average due to WW2 bombs found.

It just became a routine.

In data engineering OO with method chaining is the standard for data transformation frameworks (Polars, PySpark).

Crystal with Fibers.

Pony with actor model.

Erlang/Elixier on BEAM VM.

Erlang is slow for compute.

And most software does apparently not need what it offers.

Didn't they also crushed parts of them and snorted the powder at parties for fun?

And they made them into paint called "mummy brown." https://en.wikipedia.org/wiki/Mummy_brown

Both uses were immortalised in music by the Dave Brubeck Quartet in the mid(?) 1950s: https://www.youtube.com/watch?v=2Qs1J612nZs

Google came up with Go because:

> The key point here is our programmers are Googlers, they’re not researchers. They’re typically, fairly young, fresh out of school, probably learned Java, maybe learned C or C++, probably learned Python. They’re not capable of understanding a brilliant language but we want to use them to build good software. So, the language that we give them has to be easy for them to understand and easy to adopt.

From Rob Pike

Stock prices always include the expected future profits, that's the market rates a stock

Spark/PySpark/polars/dbt/sqlmesh are all data engineering frameworks for data transformation (and some data scientists).

If you don't have a data warehouse / OLAP system you are generally not in the niche for those tools.