I like Joplin, but it is a note taker not an office suite. So kind of depends on what you want.

You can just use LibreOffice. On Android the app I have is Collabora. The server I use is Nextcloud though it could be anything that LibreOffice and Collabora can work with. I think there is also some sort of web version too of LibreOffice, but I’ve never tried it. Maybe called “LibreOffice Online”?

What is all this for criminals BS. Graphene is one of the best ROMs out there if your willing to use Google hardware. Pretty much just works and without the normal bloat.

Ubuntu though I am less liking the snap dependence. I would avoid atomic distros for now. They are just the latest fad. Not saying bad though.

I used to think that until this https://www.usatoday.com/story/tech/2025/01/03/apple-siri-class-action-lawsuit/77426858007/ . Claims are one thing. Actions are another. The sad fact is Apple is so locked so there is very little way to verify anything. There is also very little choice to opt out. At least Android is FOSS and you do not have to use Google apps or services.

I use to think so. There have been things more recently that makes me unsure if the distinction is as large as we would like to think. Apple is clearly less transprent too so it makes it realy hard to judge.

And iPhone is any better? Get a grip. The iPhone is just more closed and obscured.

Transitioned my moms computer to Windows 11, 11 months go. Pretty easy. Her computer was originally for Windows 7 and is still fully supported. Her computer will always be Windows as I’m not local and other people have to be able to support her too. It is also what she knows. I love Linux but it is not for everyone.

Common:

• Procedural, preferably Functional. If you need a procedure or function use a procedure or function.
• Object Oriented. If you need an object use an object.
• Modular
• Package/Collection of Modules
• Do not optimize unless you need to.
• Readable is more important then compact.
• Somone said minimal code coupling, Yes! Try to have code complexity increase closer to N then N factorial where N is code size.

Frankly everything else is specialized though not unuseful.

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Go might be a close 2nd language wise but not the others. All of the above have a pretty narrow application range too. Even with a good lamguage, you would have to have the libraries too and pypi is pretty big.

You can get about 10x by compiling Python using PyPy. So compiling is not nothing. Using Numpy alone is about 5x which surprised me. There is a lot of missleading stuff out there about how to make Python fast. Lot of people say CPython is pretty fast or that using a binary library like numpy is fast. No CPython is very slow and libraries are not always that fast.

Edit: Another compiler is Numba which is more specialized. It can get 30x on some code without numpy. Again compiling can help.

We will have to disagree on that. This is all problem spectific, but I have found C code integrated via ctypes, cffi, or by a C extension is over 100x Python alone. Interestingly Python, Numba, and Numpy together which is a more pythonic solution can get to those speeds too.

All of the other approaches I have tried are much slower: Nuitka, Cython, Numpy alone, PyPy, etc.

To get best speeds one has to compile for your specific architecture and enable things like vectorization, auto parallel, and fast math. Most default builds including libraries do not do that.

Depends on what you mean by compiled. Python typically translates to meta code and that is interpreted. True compilation to binary runs about 100x faster. Python is slow though there are faster versions and ways around it.

White space nonsense. Yes and no. I do not enjoy tracking down white space issues until I remember the alternative. Matching brackets, writing begin/end statements, and worst of all looking at code that appears well indented until later you find it is not. and it runs totally differently then it looks. Similar issues with semicolons.

Pretty much everyone uses LSEs these days so frankly matters less either way most of the time.

Typing thing is way over blown. What did suck before Python 3 was indeterminate type result from the / operator. You never know if it would be integer or floating division looking at the code. Now it is floating.

Yes sorry. Wrong thread. Someone was talking about AI somewhere. For Python, I agree with your comment.

Reason I started using Python. C takes too much effort, Excel VBA is nut over 100 lines. Matlab or Python would be the next step. Matlab is nuts too in many ways.

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Yes. No different. Some ways easier.