Dear all, as a consequence of a discussion here https://mail.python.org/archives/list/numpy-discussion@python.org/message/WA... we are now please to announce the first release of APyTypes - algorithmic data types, both fixed- and floating-point, in Python. The library aims to be a drop-in replacement for NumPy, but with the difference that you can exactly specify the numerical format (and rounding mode). It is fair to say that there is a bit of work left until that, but the scalar and array data types and basic arithmetic operations are working. The library can be installed using: pip install apytypes (please let us know if your platform is not supported). For a comparison with other libraries see: https://apytypes.github.io/apytypes/comparison.html (general documentation at https://apytypes.github.io/ repo at https://github.com/apytypes/apytypes ). It should be noted that this is not a suitable replacement if you just want to use a different, existing, dtype, e.g. from ml_dtypes, this is a completely flexible solution for any dtype with complete control of rounding/quantization, including stochastic quantization. BR Oscar Gustafsson (I will not post additional announcements here, but as this was an outcome of a discussion on the mailing list, I thought it may be of interest to at least some members.)