[-] CodeBlooded@programming.dev 0 points 2 months ago

The downvote ratio here is comical. This is a solid answer, if not the answer, in 2026.

[-] CodeBlooded@programming.dev -5 points 1 year ago

Heads up: once in a blue moon it’s on “sale” for free on Epic Games.

(Ask me how I know.)

[-] CodeBlooded@programming.dev 0 points 1 year ago

I’m far more efficient with AI tools as a programmer. I love it! 🤷‍♂️

[-] CodeBlooded@programming.dev 1 points 1 year ago

After experiencing wrist pain, really bad, I moved to a vertical mouse. It seemed to help, but I eventually moved to a Kensington Expert trackball and I’ve never looked back. I swear by them.

https://www.amazon.com/Kensington-Expert-Trackball-Mouse-K64325/dp/B00009KH63

[-] CodeBlooded@programming.dev -1 points 2 years ago

Yes. Many people already work shifts that have them do exactly that (show up to work on Monday, go home on Tuesday).

My first job had me work all sorts of shifts. Anything other than the day shift, I was showing up early or late evening one day, and leaving work early or late morning the next day.

[-] CodeBlooded@programming.dev -1 points 3 years ago

I disagree, big time.

Now, of course, Linux knowledge is necessary to be productive with Docker in most cases. So, if Windows is all you know, Docker will have a learning curve for you regardless of where you run it.

In my experience, this kind of setup is ideal for Windows. Working on a Python project with individual developers who are using a mix of MacOS, Linux flavors, and Windows without using Docker would help illuminate Docker’s benefits here.

Can you speak more to how you had more than one level of virtualization when using Docker on Windows? 🤔

The only issue I ever ran into with Docker on Windows was the Docker VM’s clock getting out of sync with the host system’s clock (which was solved by restarting the VM 🤷‍♂️).

[-] CodeBlooded@programming.dev 0 points 3 years ago

As an alternative to having to clean your Python environments, I’d like to suggest putting those efforts into mastering Docker. If you can master using Docker containers as your Python environment, you can cut through a lot of the pains regarding dealing with virtual environments, multiple Python installations, and the quasi-confusing PYTHONPATH environment variable.

I don’t even install Python on my machines anymore. I’m 100% “dockerized” and I’ll never go back.

[-] CodeBlooded@programming.dev -1 points 3 years ago

☝️He’s right you know

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