u/CriticalJackfruit404

Hey everyone,

I'm trying to get a better sense of where classic ML fits in the current landscape, dominated by LLMs and deep learning. Are supervised and unsupervised learning still considered important skills/topics to learn in 2026, or have they become mostly a "foundations" step before moving to more advanced techniques?

Also, if you have any book recommendations for Python that cover these topics well, I'd really appreciate it.

Thanks in advance!

Hi community

I am pretty noob at this AI topic, so I would like to know if you recommend any skill or framework to develop great python code following the best standards like CLEAN SOLID or design patterns?

Thanks

Hi community

I am pretty noob at this AI topic, so I would like to know if you recommend any skill or framework to develop excelent python code following the best standards like CLEAN, SOLID or design patterns?

Thanks

Hi community

I am pretty noob at this AI topic, so I would like to know if you recommend any skill or framework to develop great python code following the best standards like CLEAN SOLID or design patterns?

Thanks

Hello

I am writing this post in this community because I would like to check how the data engineering interview looks these days with AI. I mean, does it make sense to do live coding if all of us have coding agents in our every day work? What should be asked instead to the candidate? I would like go through this discussion because I am preparing a interview process in my company.

Thanks for your inputs

Goal is to generate high quality code following best practices and best design patterns.

Boas

Queria saber se alguém deste sub me tem informações sobre data engineering na Kuehne. Eu já vi job descriptions mas muitas vezes o que as empresas metem lá como tech stack muitas vezes não usam no dia a dia.

Se alguém também souber as ranges salariais de senior + perks e pudesse divulgar agradecia.

Obrigado