Firstly my needs it is around data processing and knowledge extraction so It is no a generalization of the needs. Moreover some tools/frameworks have an alternative in D (often not enough mature)

Data computing:

• job scheduling (yarn from hadoop, celery from python or slurm from HPC world)
• data storage at least read and write to parquet file (through apache arrow lib)
• Multinode processing such it is done by Ray: https://docs.ray.io/en/master/
• Data processing «à la» Pandas/Dask
• scipy and numpy library
• a web project generator such it is done with jhipster: https://www.jhipster.tech/
• IA library (maybe), if we can store to parquet that imply we are able to load them from python and run tensorfow, pytorch or other …

and may others things

On Wednesday, 28 April 2021 at 12:47:49 UTC, bioinfornatics wrote:

Which of these can be done by calling other languages (easy to handle) and which would need to be written in D (probably won't happen)? Is Windows support necessary or is WSL sufficient?

On Wednesday, 28 April 2021 at 12:47:49 UTC, bioinfornatics wrote:

I don't know what JHipster does exactly, but something simple to quickly set up microservices would be great. I think most of the ingredients are already here, but not neatly packaged.

On Wednesday, 28 April 2021 at 15:20:40 UTC, bachmeier wrote:

For some of these, the OP references libraries, like numpy/scipy/pandas, that are largely user-friendly wrappers over some C or Fortran libraries, at least for the most computationally intensive parts of the libraries. While something like lapack is doing the same thing, you get the benefit of keeping it all in D (the scripting languages also may have used different default settings which trade performance for accuracy).

Apache Arrow is a C++ library. I don't have any idea how difficult it would be to get working in D, but there is a GLIB version with a C API that should be easy enough to get working in D.

On Wednesday, 28 April 2021 at 15:20:40 UTC, bachmeier wrote:

Yes I agree some can be done by calling other languages
I work only on Linux as our webapp run on this OS

On Wednesday, 28 April 2021 at 16:01:46 UTC, Tobias Pankrath wrote:

Yes it is a project generator wich will all the conf for a microservice architecture (with consul) with SSO (through keycloak or other) and ORM (hibernate) included

On Wednesday, 28 April 2021 at 12:47:49 UTC, bioinfornatics wrote:

Regarding reading and writing Parquet files using Apache arrow, this is more or less easily possible. You can use DPP, but you have some small effort afterwards, see here

https://github.com/atilaneves/dpp/issues/242

Kind regards
Andre

On Wednesday, 28 April 2021 at 18:44:52 UTC, Andre Pany wrote:

Yes of course with some effort it is possible that means the ecosystem is not ready for
and you will loose Every possible candidate to choose D

in c++ you have apache arrow and Dataframe (https://github.com/hosseinmoein/DataFrame)
in place of python (pyarrow/pandas) . And it is ready to use

On Wednesday, 28 April 2021 at 19:23:44 UTC, bioinfornatics wrote:

Yes, I working in the area of big data / cloud with Python (numpy/ pandas) and D. And yes, you are right, while the dub packages list is growing, the scientific area is really small. You have to leave here the happy path and have to invest 3 to 4 hours to get Parquet working with D.

This is my personal opinion: Every minute I had to invest additionally to get everything running in D was a success. I was bitten so many times by python issues and invested many hours to solve them...
Now I have smoothly running D code working hand in hand with python code. And yes, every few week something else, breaks in the python, while D continues to run smoothly.

You are right, at the moment you need to be enthusiastic about D,to setup a scientific application, but it totally worths it.

For me, the biggest blocker to get a numpy like library in D is missing named arguments feature (dip is accepted).

Kind regards
Andre