Rust as a Tool For Data Scientists? | My Experience

The talk on building simulation in Rust:

[professornumbskull]

You might have known these already, but following are a few tips, that might speed up your code:
1. use cargo clippy to lint your code, it can sometimes provide a way to improve your code performane
2. Compile your code with --release flag, this, removes many useless runtime checks, that rust does in the debug mode, to provide you with more concrete data

[EmilNicolaiePerhinschi]

you might not know but most of the math packages in python are written in C or Fortran or C++ and optimized to hell and back, and you only see the Python wrapper, so when the data is small the python overhead shows better

[KenoticMuse]

This is a good perspective. You're differentiating between what it takes to build and run a model, versus building the data pipeline to feed into the model (preprocessing) and process the outputs of the model (postprocessing).

[fraternitas]

I work at an enterprise company getting into model development, how can I contact you for a discussion?

[simdimdim]

I wonder, is it youtube hiding/deleting my comments or are they being human moderated...
I was just trying to say there are bindings for tensorflow and pytorch and there's a site from the 'are we game yet' series called arewelearningyet one can visit for other science related crates.

And as a side note, one Can run rust in Jupyter with the help of evcxr (gotta say tho, that's one awfully hard to remember name.)

[budokan]

Mego, I run with speed 1.5 still mego.

[amilcarvale]

Myanmar dia Light I have the demo version right now would you recomnd buying the full version?

[Cyrodiili]

So what about Go in this case? Much faster than Python with easy syntax.