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Any tips to help a scientist become a better programmer? (iusearchlinux.fyi)

submitted 9 months ago by mypasswordistaco@iusearchlinux.fyi to c/programming@programming.dev

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Hey there!

I'm a chemical physicist who has been using python (as well as matlab and R) for a lot of different tasks over the last ~10 years, mostly for data analysis but also to automate certain tasks. I am almost completely self-taught, and though I have gotten help and tips from professors throughout the completion of my degrees, I have never really been educated in best practices when it comes to coding.

I have some friends who work as developers but have a similar academic background as I do, and through them I have become painfully aware of how bad my code is. When I write code, it simply needs to do the thing, conventions be damned. I do try to read up on the "right" way to do things, but the holes in my knowledge become pretty apparent pretty quickly.

For example, I have never written a class and I wouldn't know why or where to start (something to do with the init method, right?). I mostly just write functions and scripts that perform the tasks that I need, plus some work with jupyter notebooks from time to time. I only recently got started with git and uploading my projects to github, just as a way to try to teach myself the workflow.

So, I would like to learn to be better. Can anyone recommend good resources for learning programming, but perhaps that are aimed at people who already know a language? It'd be nice to find a guide that assumes you already know more than a beginner. Any help would be appreciated.

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[–] boeman@lemmy.world 7 points 9 months ago (1 children)

The thing to think about is reusability. Are you copying and pasting code into multiple places? That's a great candidate to become a class. If you have long lived projects (i.e. something you will use multiple times over a lot of years) maintainability is important. Huge functions and monolithic applications are very hard to maintain over time.

Break your functionality out into small chunks (methods and classes). Keep it simple. It may take a while to get used to this, but your time for adding additional functionality will be greatly improved in the long run.

A lot of great programmers were terrible at one time. Don't let your current lack of knowledge of principles stop you from learning. One of the biggest breakthroughs I had as a programmer is changing how I looked at architecting applications. Following SOLID principles will assist a lot in that. Don't try to understand and use these principles all at once, take your time. Programming isn't what you make your living with, it's a tool to help you be more efficient in your current role.

Realize that becoming a more effective programmer is different for everyone. Like you, I was self taught. I was a systems and network engineer that decided to move into software development. I've since moved into a role that takes advantage of all the skills I've learned through the years in SRE. like you, a lot of what I write now is about automation and analysis.

[–] Fal@yiffit.net 0 points 9 months ago (1 children)

Careful with this. Not everything needs to be reusable, and copy/paste isn't inherently bad.

https://sandimetz.com/blog/2016/1/20/the-wrong-abstraction

[–] boeman@lemmy.world 1 points 9 months ago (1 children)

You aren't wrong... But everything with extended use needs to be maintainable. Making a change in 5 places sucks.

Plus, that's what open-closed principle is all about. Instead of adding additional functionality to current working code, you extend and modify.

[–] Fal@yiffit.net -2 points 9 months ago

Making a change in 5 places sucks, making it in 2 could be reasonable. If 2 pieces of code are similar but different enough, I've seen way too often people try to force them into a common abstraction. That's more what the article is about.