this post was submitted on 13 Jun 2024
29 points (100.0% liked)

Learn Programming

1625 readers
1 users here now

Posting Etiquette

  1. Ask the main part of your question in the title. This should be concise but informative.

  2. Provide everything up front. Don't make people fish for more details in the comments. Provide background information and examples.

  3. Be present for follow up questions. Don't ask for help and run away. Stick around to answer questions and provide more details.

  4. Ask about the problem you're trying to solve. Don't focus too much on debugging your exact solution, as you may be going down the wrong path. Include as much information as you can about what you ultimately are trying to achieve. See more on this here: https://xyproblem.info/

Icon base by Delapouite under CC BY 3.0 with modifications to add a gradient

founded 1 year ago
MODERATORS
 

I'm trying to make minesweeper using rust and bevy, but it feels that my code is bloated (a lot of for loops, segments that seem to be repeating themselves, etc.)

When I look at other people's code, they are using functions that I don't really understand (map, zip, etc.) that seem to make their code faster and cleaner.

I know that I should look up the functions that I don't understand, but I was wondering where you would learn stuff like that in the first place. I want to learn how to find functions that would be useful for optimizing my code.

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 4 points 5 months ago

I learned that type of stuff in college, so I can't personally recommend any online sources. However, I can tell you that what you're looking for falls under "Data Structures and Algorithms". IIRC my degree required 3 classes with that name. Lots of sorting algorithms in that field since they make great case studies.

You learn the various data structures and algorithms available, their strengths and weaknesses, how they work, when to use them, etc...

You also learn how to measure performance, like Big-O notation, the bane of many a CS student's existence.