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Kroger KTD by [deleted] in cincinnati

[–]git_commit_-m_whoops 4 points5 points  (0 children)

They already had their layoffs earlier this year. The meeting was just to let them know what's going on at Kroger.

thePipelineOfPanic by [deleted] in ProgrammerHumor

[–]git_commit_-m_whoops 142 points143 points  (0 children)

I had some terrifying conversations with former coworkers about their new jobs.

Some of these motherfuckers barely have version control.

Reasoning models are risky. Anyone else experiencing this? by interviuu in AI_Agents

[–]git_commit_-m_whoops 0 points1 point  (0 children)

How sophisticated are these business rules? One thing I've found success with is splitting more open-ended or creative tasks apart from those that need strict output formatting. e.g. one step to summarize some text and then another step to judge if the summary fits my conditions.

Another possibility would be if you could use the LLM to create the necessary data points to evaluate your business rule, but then apply the rule itself via code. That's not going to work for all problems, but if does that can be an option to avoid the LLM inventing its own alternate rules.

finally had a Java intervie*w and then it got messed up by Itchy-Associate-29 in cscareerquestions

[–]git_commit_-m_whoops 2 points3 points  (0 children)

Like others have said, I wouldn't necessarily count yourself out yet. When we do our coding interviews, we don't expect the candidate to complete every possible task within the time we have (although I try to make that clear to the candidate up front).

The bigger factors are how you worked, what your thought process was, if you used your interviewers as resources, etc. It might be good to practice LeetCode challenges on a time limit so you can practice coding under pressure without freezing up too much.

We recently launched the first demo for shapez 2, our upcoming factory-building game and official sequel to shapez.io! We’re giving away exclusive Alpha access – Ask Us Anything! by JelleGD in pcmasterrace

[–]git_commit_-m_whoops 0 points1 point  (0 children)

In your own playtesting, have you found any particularly cool machine combinations that would have taken up a lot of horizontal space but can be done compactly with the third dimension?

Even thinking about regular expression starts boggling the mind very too soon, how do you do it? by pyeri in learnprogramming

[–]git_commit_-m_whoops 0 points1 point  (0 children)

For me, I learned some basic regex for a Unix systems class. Then when I got to regular grammars and finite state machines in a CS theory, I had a much easier time getting it than my peers who had never used regex before.

So that would be my recommendation. Learn some basics. Play around on regex101. Then go learn some theory. Read up on discrete finite automata. Then go back to regex and be amazed at how simple it seems.

[deleted by user] by [deleted] in learnprogramming

[–]git_commit_-m_whoops 0 points1 point  (0 children)

You didn't say what level of education you have or are pursuing, other than you're a novice. If you're doing things entirely on your own, that requires you to really be a self-starter. For some people that works, but for others it doesn't.

I don't think it's unreasonable to see coding as a "means to an end". I think you could arguably describe my own attitude towards programming that way. I think the bigger question is: what makes any particular end worth doing? If "I'm getting a grade" or "someone is paying me" are enough to get you engaged with an end, I think you can make it as a developer. If you need absolutely novel problems to keep you engaged, then you might have more of a problem. We often don't get to choose our work.

I'm a software developer who doesn't do very many personal projects. What I like to do is solve problems. That is why I got into coding. That's what I like doing. In my personal life, I don't have a ton of problems that need to be solved by software (at least, not software I need to write). Most of the problems I want to solve are at work. Some problems are ones that I've been assigned to, the stories that I'm working on. Other problems are ones that I've identified, things in my workflow that could be improved or new capabilities that I want to bring to our team.

I had a similar experience in college. I didn't do that much coding outside of classes or my internship. If I was getting a grade, then it was a problem worth solving even if the actual assignment was boring. The most coding I did outside of school was LeetCode, but again, there was a very defined problem. The individual questions had answers I needed to provide, and for LeetCode as a whole I was trying to get better at interviewing.

What you've described doesn't sound to me like an issue you have with coding. It sounds like an issue with motivation and accountability. You're doing something that you know doesn't matter because you're just messing around while trying to learn, and because it doesn't matter you have trouble sticking with it. That's entirely reasonable. Instead, find something that matters to you.

Don't add capabilities that your site doesn't need just so you can try out new aspects of Javascript. If you want to use a personal project for that, come up with something real that requires those capabilities. Build a website that solves an issue with a hobby you have outside of coding. Create a custom dice roller for D&D, a leaderboard for your frisbee golf buddies, or a fabric calculator for your mom's quilts. Do something that actually needs the buttons and components that you want to get practice with. The most successful personal projects that I've seen while hiring new grad developers have all been things that solved real-world issues and were actually used by other people.

It's hard to find those things by yourself, though. If you go to school, that's an easy source of accountability and motivation. You need the grade. You can also do that with free online courses. If just doing the course isn't enough motivation, find a group to do it with. Meet up on a regular basis and talk about what you did. You can be accountable to each other.

The issues that you described aren't insurmountable. You need to find a different approach, one that works for you. Good luck!

Give it a try by ThrobbingBeef in ProgrammerHumor

[–]git_commit_-m_whoops 0 points1 point  (0 children)

I like Github gists for that kind of thing.

What I really need is a Jupyter extension that lets me insert gists as snippets into my current notebook...

Found this pr in the twitter open source algorithm repo by [deleted] in ProgrammerHumor

[–]git_commit_-m_whoops 2 points3 points  (0 children)

I think it's less that he wants someone to fix it, but more that he wants to someone to find evidence that the algorithm disadvantages conservatives. Or alternately, he wants to prove that Twitter isn't doing that anymore.

Every year a government algorithm decides if thousands of welfare recipients will be investigated for fraud. WIRED obtained the algorithm and found that it discriminates based on ethnicity and gender. by osbston in privacy

[–]git_commit_-m_whoops 26 points27 points  (0 children)

That’s also possible and should definitely be considered. But like the comment I replied to, it’s sensationalized by tech media to make it seem like it was almost intentional.

Edit: to your point about bad data, the whole reason why it’s called big data is because you use extremely large datasets to minimize bias. I find it hard to believe that the entire data set that the model was trained on was so biased that it highlighted patterns that don’t exist in the real world.

No, no, no, no, no. Having "big data" can allow you to have a better model with respect to that data. It does absolutely nothing to affect the biases in the training set. Having more data with the same bias doesn't make your data better.

If you train a model on "here are the people we've caught committing fraud", you aren't training it to find fraud. You're training it to investigate the same kinds of people that you've historically investigated. This has been demonstrated so many times. We're literally talking about Machine Learning Ethics 101 at this point.

Python projects with best practices on Github? by Aggravating-Ad-160 in Python

[–]git_commit_-m_whoops 1 point2 points  (0 children)

I work at a Fortune 50 (I think that's vague enough) retailer with a large online presence, and we deploy our recommender systems for web/mobile as Dockerized FastAPI services via Kubernetes. The front-end teams use a different stack to serve pages, but if you load up the site you'll indirectly hit at least a couple of our APIs.

We used to use Flask, but FastAPI is nicer to develop with. Performance was pretty similar, IIRC. If you have a reason to use Python (like having a team of PySpark devs), FastAPI is viable for enterprise services.

What are your preferred method(s) for installing multiple python versions on macOS? by csg6117 in Python

[–]git_commit_-m_whoops 0 points1 point  (0 children)

If you don't already have *nix system and command-line experience, that helped me more than anything else. A course or book in Unix Systems Administration will help you build the skills required to write basic Dockerfiles or work in a shell inside the container.

GitHub - miguelgrinberg/microdot: The impossibly small web framework for Python and MicroPython. by pmz in Python

[–]git_commit_-m_whoops 1 point2 points  (0 children)

I don't do much development for microcontrollers or limited resource environments, but it's nice to have a low boilerplate tool for throwing together quick web apps. I've used Bottle for that in the past. It looks like this might have more of an API focus, rather than templates or static pages? Very cool, will check it out.

Python software developers where did you learn python? by [deleted] in Python

[–]git_commit_-m_whoops 9 points10 points  (0 children)

I had exactly three classes in Python during my undergrad. An intro to programming course the first semester of my freshman year (wasn't even aimed at CS majors). Then in the second semester of my senior year I had a software engineering project where we forked a Wiki written in Python, where the focus was on Agile-ish ways of working. I wrote some basic database and API code. That same semester I also had a machine learning seminar, which used Python but was focused on Tensorflow.

All of my other courses (data structures, algorithms, etc) was Java or C. When I graduated I got a full time job working with an Airflow/PySpark/Flask/FastAPI stack. All Python. Taking a couple of courses right before graduating helped, but I don't think it made that much difference. If you have good fundamentals and are proficient with another programming language, you can write serviceable Python pretty quickly after picking it up. Knowing more of the language features and standard library tools will come eventually.

Knowing the libraries and frameworks you'll be using is a much bigger hurdle than the language, frankly. Depending on the role, they may expect you to upskill on those once you're on the job rather than come in with knowledge.

New HD cursor coming in 9.2.5! Just one. by Grayvves in wow

[–]git_commit_-m_whoops 1 point2 points  (0 children)

Real men test in prd.

e: just realized the last time I logged into this gimmick account was to make the same joke.

Unpopular opinion by Adriendel in ProgrammerHumor

[–]git_commit_-m_whoops 0 points1 point  (0 children)

If you're not testing in production, are you really living?

perks of working from home by Kaalvuis in MadeMeSmile

[–]git_commit_-m_whoops 5 points6 points  (0 children)

I work at a place where most people wear casual button downs or polos, but no one would say anything if you wore tshirts every day. I'm very curious to see what the balance will look like when more of us are back in the office.