Recent comments in /f/MechanicalKeyboards

AutoModerator t1_jcomv9w wrote

Reply to Lily58, bit more exciting than my old 75% keyboard. by Kattnos

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AutoModerator t1_jcomv5n wrote

Reply to Lily58, bit more exciting than my old 75% keyboard. by Kattnos

ANY content that features products, services you sell, your prototypes in progress or items you were sponsored to post MUST use the Promotional flair, with disclosure of who you represent.

When posting your build, please provide a description of the build, preferably as a Top Level Comment or Reply to this Comment, with the following information:

  • Your keyboard featured and its layout

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  • Any notable mods you performed

  • Other helpful information such as low profile, lesser known firmware, etc.

Example: Unobtanium Southpaw 1800 with DSA Salt with MorningCaps Artisan and Alps Rainbow Switches, modded with Sorbothan Foam on KMK

I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.

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chars101 t1_jcoa9kp wrote

Reply to comment by Ghgore in One kidney left but well worth it for this whole build. Neuron w/ Future Funk by thepropbox

> Also speed isn't everything, especially if it comes at the cost of increased crashes due to errors from code complexity.

Strong typing gives Python an advantage over weakly typed languages like PHP and JS in managing complexity. But I see the advent of type annotations as an attempt to deal with the complexity large systems that people have built, like the ones you mentioned. Much like Typescript tries to do the same with JS code bases.

I've seen my fair share of hard to reason about Python code that breaks at run-time.

I'd rephrase what you said to "Speed isn't everything if you're IO bound." The places where Python has traditionally has been most popular is where it's shoving data around with perhaps some small manipulations. Feeding render pipelines at ILM, web development after people got fed up with the absence of design in PHP 3/4/5 or inheriting unreadable Perl CGI and now datascience and machine learning where it's used to hands on explore the data massage and then do the bulk of work in libraries implemented in Rust or C(++).

If correctness and speed aren't vital, it let's you do a lot with very little. And there's a large community that shares their tooling to help deal with those shortcomings (mypy, pyright, pyre, hypothesis, pandas, polars, PyO3) so you can postpone reimplantation of your Python prototype in a language that is more able to the point where it is unfeasible to do so.

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