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.

Just FYI my wife and her dad have used Linux for decades now. Both nontechnical users. I switched them in mid 00s.

Just keep in mind you will need to do the support when things break or on major upgrades. Otherwise she should have few issues.

It is far more then that. It is a full up programming language.

I never understand why people think compilation is a barrier. But sure most python is not compiled.

You can write Python code about 5x faster then C. Add libraries even faster.

Presumably because it minimizes developer time in writing code and is easy to use and it come with great libraries. That is why I have been using it since 1998.

Edit: People use to think I was crazy using Python. It was interesting seeing people slowly get a clue over the years.

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I have a friend that is a professional programmer. They think AI will generate lots of work fixing the shit code it creates. I guess we will see.

Programming in particular, though fun, has always been kind of a piece part job. Aparently easily out sourced, and now easily automated. I say aparently because out sourcing and off-shoring turned out not to be that easy. We are now going to find out about AI.

One reason I did not go into IT 40 years ago was this reason. I went into the physical sciences and engineering and had a fine career. I was wrong then about IT it turned out. Who knows now.