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I would like to learn how to set up my own database. Say a sensor / app is emitting data, how do I go from that raw signal (could be digital or analog) to a nice SQL style table?
My company gives my L&D budget so happy to pay for courses / classes. Ideally a course over a book given my learning style but I'm happy with any quality resource!
I’ve recently started using Homebrew on my macOS and have found it incredibly useful for managing software. While downloading from the official casks seems straightforward and secure, I’ve noticed that a lot of software is available through community-maintained casks.
I have a few concerns and questions regarding this:
* Is there a significant security risk in installing software from community-maintained casks?
* Could a malicious actor simply redirect the download link in the git code to malicious software?
* It seems that any hash checks are manually uploaded. How reliable are these in ensuring security?
I would love to hear the community’s thoughts on this and any best practices to mitigate potential risks.
"We are building a tiny, ambitious team that works shoulder-to-shoulder 6 days / week."
"Compensation: $130 - $180 / 0.50% - 2.49% Location: NYC"
Why would anyone work six days a week for 0.5%?
At 0.5% ownership, the company needs a $40million valuation for this equity to be worth $200K pre-tax.
If they have more investment rounds and you get diluted to 0.1%, for the equity to be worth $200K the company needs a $200million valuation.
So here's my question: What factors might make these terms appealing, or what might be the reasons someone would consider such a role despite these conditions?
edit: "these conditions" being average/low base, equity with tiny prospects of becoming life-changing money, work 6 days a week
For content, currently working at FAANG, here's what I see:
1. Sharing of code is a pain. Keeping code updated is a pain. I've only been on a single team that uses Git in a decade. And even then, it wasn't really used.
2. Data quality is awful. We are constantly working with other teams to get it fixed, no one really cares but we have to deal with the consequences.
3. Most people want to work on cool LLM projects but there are too many internal blockers. (We don't have access to openAI APIs, we don't have good GPUs to run models in our dev environment, the few models that run on our underpowered GPUs are bad)
4. Thankfully not a problem for me but the hiring market is insane right now.
I'm a data scientist and I'm working on a side project. I think it has potential and want to start showing it to the world and have people interact with it.
What's the easiest way to do this?
If it was a "static" website where I'm just showing screenshots, I would spin up a wordpress or squarespace.
But I want this more dynamic. I want people to be able to upload PDFs, have my models process them, and have the results appear on the website.
Is there an "easy" way to do this? My tech skills stop at Python though I'm happy to pick up new skills. Ideally though, I don't want the creation of the website to take longer/more effort than the core project.