filipeclduarte

3 ms·

1. 1.▲
   by filipeclduarte 5y ago

   Awesome project btw, it was a correct decision to follow dplyr. I think you should consider overload operators for ergonomics. Most data scientists prefer using operators for doing mathematical stuff instead of calling functions named as ad
2. 2.▲
   Plan for Deep Learning in .NET(github.com)

   2 points by filipeclduarte 5y ago|0 comments
3. 3.▲
   Pyjion 1.0.0a4 JIT(pypi.org)

   1 points by filipeclduarte 5y ago|1 comments
4. 4.▲
   by filipeclduarte 5y ago

   Pyjion, a JIT extension for CPython that compiles your Python code into native CIL and executes it using the .NET 5 CLR.
5. 5.▲
   by filipeclduarte 6y ago

   Excellent language! I’m using it for scientific computing and like it a lot. There are a few but useful and good libraries. Arraymancer,ggplotnim, alea and stats. Also, great Python integration nimpy library.
6. 6.▲
   by filipeclduarte 6y ago

   Awesome programming language.
7. 7.▲
   by filipeclduarte 6y ago

   I think Nim it’s a great language and deserves more attention from scientific computing.