It seems there’s room for both
Data Science
It seems there’s room for both
FYI the person with enough money to donate $300,000 to a programming language foundation is the founder of HashiCorp.
If you unselect the “frequently used in CS50” selection, the CS50 Manual pages for the C standard library, the C POSIX library, and the CS50 Library is a great digital and searchable reference for the C Programming language.
Might be a bit different than what you’re looking for but outside of printed books, it seems to be the most complete resource for C. And the CS50 Library, though not standard, is a well written extension to the standard library which may be helpful for common use cases.
It’s a flaw in the design of Lemmy. Hopefully it will be fixed sometime in the future.
Enjoy the weekend! 🤙🏼
Would you take note of someone using git compatible version control tools like, Jujutsu, Sapling, Gitless or Breezy? Or an entirely different hosting and version control setup like Pijul, Fossil, or DARCS? (Sapling and Breezy can be setup and used without git-based infrastructure as well)
My hunch is this is generally a negative signal for hiring managers because it’s too far from standard practice in their world and could indicate someone who is too contrarian.
Anyway, I’ve tried all of these at various times and there’s a lot I like about each and some I think are overall improvements over git. But git has so much momentum that people are very reluctant to try something even if it can smooth out the rough edges of git and git workflows.
I appreciate your posting relevant links to this community. Unfortunately I can’t stop non-subscribers from downvoting.
Please keep posting what you find.
If each lemmy instance has only a partial dataset
You can stop saying if. It is nearly certain that any instance only has a partial dataset in the same way that a search engine only indexes a partial dataset of every web page.
If this is the case: what happens if a bad actor subscribes to all communities of all servers?
There are bots that were built to do exactly that. I wouldn’t call them bad actors unless the instance owner prohibited such actions.
Ente is a beautiful, private cloud for your memories, with apps for mobile, desktop and web.
At Ente, we use Local AI to deliver features like face recognition and magic search, while respecting the privacy of your photos.
We’ll now join a cohort of builders pushing technology forward for an AI that is light, private and accessible.
That’s more than most SWE graduates have done, which is great! But it makes it difficult to judge what you might benefit from based on what you’ve shared.
To answer the title question, the suggestions provided by others here are all good resources for studying algorithms, but no one mentioned Algorithms Illuminated which is of a similar quality. Choose one of these suggested resources that vibes with your learning style.
But don’t discount the suggestions to work on new projects that are outside of your current experience and requires more than your current knowledge base to complete. Trying things you haven’t tried before really is the only way to do things you couldn’t do previously.
Good luck!
What have you built? What larger projects have you contributed to?
Perhaps the following rewording of your last sentence would be easier for readers to follow along:
With a lack of precision, 1/3 might become 0.33333333. When evaluating the expression 1/3 + 1/3 + 1/3, using 0.33333333 as an approximate representation of 1/3 will return a result of 0.99999999, instead of the correct answer of 1.
That link didn’t work for me.
I agree. I was just using understatment for rhetorical effect.
Or complete clients, doesn’t even need to be great but incorporating all features would be nice.
Some people who are self studying Structure and Interpretation of Computer Programs have been using a discord server to assist each other as needed. I realize that there are a number of people using Lemmy whi are very opposed to using discord over other options, but I don’t know of any other sustained forums focused on this book.
That’s an entry point into programming that’s not for everyone. It seems like the poster is looking for something more hands on and pragmatic rather than technical and academic.
An author of the original book, Allen B. Downey, has released a third edition if his updates that is also available online at no cost and in Allen B. Downey’s words:
The book is now entirely in Jupyter notebooks, so you can read the text, run the code, and work on the exercises – all in one place. Using the links below, you can run the notebooks on Colab, so you don’t have to install anything to get started.
The text is substantially revised and a few chapters have been reordered. There are more exercises now, and I think a lot of them are better.
It’s interesting to see how the same source material has grown into two differently maintained and similar resources.
Pixi is more than a drop in replacement for Conda. Pixi being able to replace Conda and do everything that uv does (Pixi has incorporated uv into it’s tools) seems to make it a more complete toolset than uv alone.
There seems to be mixed reactions to this suggestion. I don’t know enough to understand why.
We’re all not existing together!
Hopefully they can figure out a fix soon.