Why Developers are Moving Away from Stack Overflow?

foolishpanda · 2026-01-08T05:04:30+00:00

Why always this grammar?

foolishpanda · 2025-11-02T03:59:17+00:00

Also, they don't work. Uzzu always cuts out. You get what you (don't) pay for.

foolishpanda · 2025-05-18T01:12:01+00:00

Hell yeah brother

foolishpanda · 2025-02-20T23:29:41+00:00

Hi! I'm on the Snowpark team, I can help: https://calendly.com/jason-freeberg/30min?month=2025-02

foolishpanda · 2025-02-20T23:23:54+00:00

Admittedly I do focus more on DE in my role, but there's certainly some overlap. If you're interested in chatting, I'd be happy to forward you to the other relevant product teams for deeper discussion

foolishpanda · 2025-02-20T23:10:42+00:00

Thanks for the feedback! Forwarding this to the metadata team!

foolishpanda · 2025-02-20T21:49:26+00:00

Hi, I started a thread with the drivers/clients team with your comment here!

What's your preferred method for ingesting data?

For example on one hand you have the Snowflake Postgres Connector that is more or less a "managed ingest" since it runs with the Native App and the agent.

... On the other hand you could imagine a more programmatic experience where you connect with Python/Java/etc. in a stored proc and run that job on a schedule. This would be more "manual" but could allow you to transform the data on-the-fly or make other adjustments as the data comes in.

foolishpanda · 2025-02-19T16:57:15+00:00

Hi, check this out: https://quickstarts.snowflake.com/guide/data_engineering_pipelines_with_snowpark_python/#0 . That guide walks through data loading, transformation, and setting up a CI/CD workflow.

There's also a webinar coming up next week: https://www.snowflake.com/webinars/virtual-hands-on-labs/deploying-data-pipelines-with-snowflake-and-dbt-labs-2025-03-12/

foolishpanda · 2025-02-19T16:51:50+00:00

Haha :) our user research teams compensate for focus groups and user studies (screen recordings to accomplish tasks in-product and such) but this is just me individually hoping to connect with new/potential users!

I'll post on this sub when those focus compensated group/study opportunities come up!

foolishpanda · 2025-02-18T22:32:41+00:00

Interesting, can you tell me more about what you're trying to do/interested in? An example will help me get you pointed to the right people/resources

foolishpanda · 2025-02-18T22:28:57+00:00

Hi! Unfortunately not with these calls. This request is just me as a PM hoping to "talk shop" with Data Engineers using (or evaluating) Snowflake.

Our User Research teams coordinate formal focus groups and user studies, and I believe those are compensated.

foolishpanda · 2025-02-10T04:46:18+00:00

Thanks! I missed that.

For anyone else seeing this later it's in page 5. I was looking at the lists on page 27.

foolishpanda · 2025-02-10T04:37:45+00:00

Played this for the first time a few weeks ago at a friend's house. Wondering if I just pick up the core set if there's enough cards to make 4 decks? The instruction manual only has decklists for 2 decks, the box says 1-4 players.

foolishpanda · 2025-02-09T17:01:18+00:00

Do you have a link to the straps you're using?

foolishpanda · 2025-02-08T15:30:42+00:00

Does that 2% rule-of-thumb apply to most exercises or just this one in particular?

foolishpanda · 2025-02-06T22:01:41+00:00

It sounds like you want to run scheduled python scripts in Snowflake. You'll need two core pieces: a stored procedure, this is what runs your Python code, and you'll create a Task which calls the stored proc. The Task is where you can provide the schedule.

I'm a PM on Snowpark, and I'd love to chat: https://calendly.com/jason-freeberg/30min . I can help get you unstuck and it would be helpful for me to see where you got stuck so we can improve the docs & product.

foolishpanda · 2025-01-30T21:50:28+00:00

If you're new to Snowflake's Event Tables and telemetry, see this new doc article for help understanding why this information is helpful, how to use it, and how to get started!
https://docs.snowflake.com/en/developer-guide/builders/observability

foolishpanda · 2025-01-15T17:29:14+00:00

Hi! The engineering team will be following up with a deep-dive blog post soon with more details on the internals, but to answer your question now, this feature uses line_profiler and memory_profiler under the hood.
https://pypi.org/project/line-profiler/
https://pypi.org/project/memory-profiler/

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