Damn, someone should've told Dr. Frasier that it's just a weapon of terror...
Magnetic tapes are still being used as long-term storage, as backups for example. They are inexpensive, compact, have zero moving parts, and are more durable than optical media. All you have to do is keep them in a location that is around room temperature, relatively dry, and away from magnets.
But that's not really what tar does. It simply collects the input files and writes them to a single contiguous data stream -- a file not unlike an actual tape. It's worked like that for, I shit you not, 45 years, and it is very much a single project holding up modern technology situation. I fear to imagine what would happen if it were to change.
"The world should conform to my expectations, not long-standing conventions!"
But if you engage your thinking meat, you might just discover the magic of alias untar='tar xvf'.
Leaded fuel. Avgas is 100-octane leaded gasoline that is still being used by most small aircraft piston engines. Lead-free alternatives exist, but production and supply infrastructure is nonexistent.
Doesn't work. Trying to parse a sentence that is more than ten words in length, their brain would just throw an OutOfMemoryException, output a bunch of "I do not consent" lines, and immediately return to the index page of Black's Law Dictionary.
ableist
I think you mean "enabler". An ableist is someone who discriminates against people based on disabilities.
Still, your point stands. They're a fucking enabler clown, or put in a more polite way, a useful moron.
Sony is the biggest fucking security risk in this entire deal, what the fuck
You'll encounter math eventually. It could be as simple as implementing linear interpolation for a custom type, or understanding why a type is not suited for a particular application (e.g. never use floating points to represent money). If you delve into low-level networking, you'll need a good understanding of binary/decimal/hexadecimal conversions and operations. If you go into game development or graphics, you won't survive without a deep understanding of vectors, matrices, and quaternions. Any kind of data science is just math translated to a machine-readable language.
In my opinion, knowledge of the basic concepts is more important than being good at actually performing mathematics with pen and paper. For example, if you need to apply a transformation to a vector, nobody expects you to whip up a program that does the thing. Instead, you should immediately know:
- what a transformation is (translation, rotation, scaling, projection, etc),
- that each transformation has a corresponding transformation matrix,
- that you'll have to deal with inhomogeneous and homogeneous coordinates, and
- that you'll have to combine the transformation matrices and the original vector.
That abstract knowledge will give you a starting point. Then you can look up the particulars -- the corresponding transformation matrices, the method to convert between inhomogeneous and homogeneous coordinates, and the process of matrix multiplication. I know because I failed calculus.
I despise micro-USB with a passion. Even more than mini-USB. It is so flimsy, it's always been the first thing to die on my wireless devices, including my older phones.
If a device charges through USB, I consider not having USB-C to be a deal breaker. Right now I'm waiting for a USB-C socket breakout panel because I want to convert my Xbox One controller from micro to C.
You should read The Jaunt to acquire the completely healthy and rational fear of teleportation
...it scratches at 1 with deeper grooves at 2...