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The 4 year upgrade cycle is too short on one hand. On the other, critical software like Firefox is too old even then so I have to use a flatpack for that which does not integrate well. I am using Debian 12. The other option is that Mozilla does have a debian repo but that is harder to setup.
Yes humans are terible at multitasking.
That is interesting. You can do that by the command line. Basically run cryptsetup to map the encrypted partition, then run mount. Those commands could also be place in a bash script too. You may need sudo access to run cryptsetup. You will need sudo access for mount unless you configure it as user mountable and not auto mounted in fstab.
You also want script to umount it and unmap it with cryptsetup when done.
Graphically, maybe the Disks gnome tool can do.
You could ask duck.ai too then verify the commands with the man command so you know what they do.
Edit: Also crypttab and fstab are documented in man too as are cryptsetup, mount, and umount.
Edit: Good to not fully trust ai.
Generally what you do is to define the key and mapping of the second drive in /etc/crypttab usually referencing a file with the key. The root patrition which typically contains /etc is typically unlocked with a password you supply.
You can manually map the partions with cryptsetup and then mount them with mount.
Common:
Frankly everything else is specialized though not unuseful.
To test, write known random data to fill the drive at the block device level, reboot or otherwise clear the buffers, and then read the whole drive again validating the data is exactly correct. These fake drives should not be able to fake random data filling.
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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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.
Windows 2000 was nice. MS could have pretty much stopped there.