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Railsify

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Have you had a look at https://nnfs.io/ ? I bought the book and am gearing up to start working through it, I would be interested to know your thoughts. Generally I want to chart a personal curriculum from data engineer to practical application of modern AI to real business problems.

During a period where there is a perceived shortage of new devs, existing dev teams still have to meet deadlines and move the ball, this forces streamlining of processes and thus reduces the immediate need for new team members. If someone on my team leaves and I need to back-fill engineering time on a process or app, and I can't back-fill quickly, what other choice do I have other than to reassess the entire process and change it so that it requires less commitment moving forward?

I'm hoping the same. Regarding 401k please remember that employer matches do not count towards the contribution limit, always calculate your deduction so that you max it out without the employer match. The employer match is the cherry on top.

If you sent a personal friend 2 twitter DMs, then 2 emails, and then 3 text messages and they don't reply, I don't think they are a friend. My inbox gets pounded as well but if a personal friend emails I skip all the other emails and reply to that one first.

I was trying to find pre-made hand railing mounting plates, I thought to try and use google shopping because I didn't have an existing part number.

I enter my search term hit enter, for a split second I can see the exact products I want to browse but those results are quickly swapped out for a bunch of unrelated products.

Good, Twitter has problems worthy of firing people over and in all cases it's ultimately executives that are responsible for all problems, so it makes sense that even if they don't publicly enumerate the specific events that led to the firing, these executives most certainly deserved to be fired.

I get what you're saying. I'd imagine this repo will be closer to pseudo code than "complete" code for all systems that a tweet flows through. For example, the system that flags/remove picture of hotdogs would likely be represented as "if image contains hotdog: weight: -500"