Our great sponsors
-
We have this same problem in Ruby - implementing the Ruby C extension API if you aren't exactly the same as the reference Ruby implementation is extremely challenging. I think Charlie Nutter proposed something like this for Ruby in the past https://github.com/headius/xni.
-
It still is, and Cython is great for accelerating critical Python code.
A C extension is far preferable when you want to code in C, either to write a new data type[1], or write a Python frontend to a C library[2] that is too complex to be well supported by simple FFI.
I think people use Cython more internally when they value the maintainability of "mostly Python" over the fact that it's slower than what native C would get them.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
It still is, and Cython is great for accelerating critical Python code.
A C extension is far preferable when you want to code in C, either to write a new data type[1], or write a Python frontend to a C library[2] that is too complex to be well supported by simple FFI.
I think people use Cython more internally when they value the maintainability of "mostly Python" over the fact that it's slower than what native C would get them.
-
Nice! I've been following HPy for a while, and I'd like to eventually implement it in RustPython[0] (the blockers to doing so are mostly on our part, not theirs). I'm hopeful that this will vastly improve compatibility for native modules for interpreters other than CPython - numpy seems almost impossible to get working in RustPython without something like HPy.
