Konrad Hinsen10/22/2023, 7:58 AM
alltom10/22/2023, 2:15 PM
Srini K10/23/2023, 1:01 AM
Konrad Hinsen10/23/2023, 7:58 AM
Srini K10/24/2023, 12:34 PM
If we want tools that fit our needs, we need to be able to tweak them to our needs.Definitely agree. One challenge I see is that software engineering culture is driven by / dominated by people shipping software into production for users in commercial environments ‘at scale’. Their job historically has been made ‘harder’ by non-engineers being empowered by tools like Excel, Tableau, SQL, etc because they aren’t version controlled, they’re somewhat brittle ‘at scale’, and engineers don’t want to support shipping their ‘content’ into production. So we end up with this half-baked solution. End-users get a high level programming language that has expressiveness and freedom (unlike Excel or Tableau) and engineers are happy to support that nay embrace it. But most data scientists don’t want to learn computer science and Python, they want to do their work.
Timothy Johnson10/26/2023, 5:00 AM
Konrad Hinsen10/26/2023, 8:44 AM