Numerical libraries for data science

Have a look at genny to automate python bindings to nim: And weave for parallel processing:

Numerical libraries for data science

Thank you so much for the references. I will start taking a look and see if I can find an easy way.

Numerical libraries for data science

I need to take a look. If it is that simple, it would be great!

Numerical libraries for data science

haha I like that. The only things is that nowadays in data science everything happens under Python cover so this is very important to keep the interface python.

Numerical libraries for data science

tries to be useful for Nim/Python

Numerical libraries for data science

I do use nim with python daily. On the nim side, you have all the scinim stuff Then use nimpy to creative a native .so/.dll python module Import your native module in python and enjoy full speed

Numerical libraries for data science

> Nim would be a good option to produce fast python packages? Not really. While it is possible - there are package like `nimporter` who can export Nim code to Python - it's overly complicated for little benefit. If you start using Nim, it's best to work entirely in Nim and use C++ library throug

Numerical libraries for data science

Why use Nim to make packages for Python when you can make packages for Nim?

Numerical libraries for data science

Yeah I mean I think this is exactly where nim shines as opposed to Rust, as you pick out; Nim keeps the simple things simple and the hard things possible, Rust instead is trying to market a lego brick with 3.46 dimensions. Nimpy is operatively intuitive, fast, 2-way, etc. So use that for 98% of

Numerical libraries for data science

Hi everyone I am mainly working on data science with Python. It is a tradition that nowadays people implement everything in other languages for speed reasons and wrap them in python to get simple code and other utilities of python. I was looking for good languages for this. C++ with Pybind11 is