diziet_sma

I couldn't find any evidence Jane Street is a customer, only that Jane street is an investor. Do you have a source for that?

Very cool! I would imagine this helps LLMs catch errors while refactoring code.

How hard is it to migrate existing pandas/Polars code to Typol?

Most importantly, how did you come up with the name?

> Python essentially bet on UTF-32 (with space-saving optimisations)

How so? Python3 strings are unicode and all the encoding/decoding functions default to utf-8. In practice this means all the python I write is utf-8 compatible unicode and I don't ever have to think about it.

Universal search on Google Pixels has solved a lot of the text selection problems on Android for me, with the exception being selecting text which requires scrolling.

I think self-driving is what makes Waymo premium. A Waymo is a better experience because the Waymo is safer and smoother driver than any human could ever be.

I took the parent post to mean that a few large firms have emerged as clear winners of the speed game, and most other companies compete on (relatively) longer time scales now.

It's not the same thing as multidimensional arrays though. You can have multidimensional arrays without rank polymorphism. Rank polymorphism makes working with multidimensional arrays much easier because you can write one function which works over input arrays with different shapes.

Yes we do. The OP's point is that _if_ there is collusion, building housing will help solve the collusion problem _and_ solve the housing shortage.

Spending effort on theoretical collusion which may or may not be happening is a diversion from the real problem, which is lack of housing supply.

Or perhaps cooking? Cooking can really spike AQI if ventilation is suboptimal.

Another potential explanation is cleaning products.

I think these are both far more likely than perfume, as there is a much stronger link between AQI and lung cancer than perfume and lung cancer (if there is any at all).

There have been many attempts to make a Python JIT that is compatible with CPython to various levels of success. However the larger reason is that the gains from removing the GIL far exceeds the gains from a JIT.

If you're writing performance sensitive python code, the "hot" code is likely already in a C-extension, such as Numpy. So there is negligible benefit to running the code with a JIT.

How long do we expect it to take dynamic derivations to get stabilized?

The GitHub RFC says it's only 80% complete

  fd --help | rg link -C 10

Set -L --follow to descend into symlinked directories. The default is to not.

These aren't financial exchanges, they're a sports betting and an expense management system.

I share OPs skepticism. Market makers invest in microwave towers, FPGAs, etc. I would be surprised if sqlite backed by NVME is on the other end of all that specialized hardware.

Order matching is a single threaded thing though. I would be curious if anyone knows how electronic trading systems are actually implemented.

.... I mean in the case of more efficient cars supply of oil explicitly did not change.

There are meaningful differences in terms of pricing strategies, anticipating demand, etc.