Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Supported Python version? #26

Closed
ghost opened this issue Jan 23, 2017 · 2 comments
Closed

Supported Python version? #26

ghost opened this issue Jan 23, 2017 · 2 comments

Comments

@ghost
Copy link

ghost commented Jan 23, 2017

Latest updates on PyPI say 2016, but there are examples that still use print-statement. Setup.py doesn't contain Python-version metadata. I'd love to know if this is supported in recent versions of Python, that would make it a great tool for teaching ML according to the mostly numpy-based examples in many Deep Learning books.

@FilipeMaia
Copy link
Owner

The examples were only run with Python 2 but the code works with both Python 2 or 3. The bigger issue is lack of implemented functions. We've been adding functions as we need them and this is often quite easy to do.
If you have an application which requires certain functions, just create an issue and they might get implemented soon.

@ghost
Copy link
Author

ghost commented Jan 24, 2017

Great news, thank you - I don't think even ML-on-numpy uses many features outside basic matrix multiplications, etcetera, so that's perfect for my use-case anyway.

@ghost ghost closed this as completed Jan 24, 2017
This issue was closed.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant