pyslow5 now updated to v1.2.0 (along with slow5lib) and works with the latest numpy 2.0.0 updates

Check out the release notes
We also added big-endian support, never thought we would need to do that 😅

Stellar work from
@hasindu2008 as always

https://github.com/hasindu2008/slow5lib/releases/tag/v1.2.0

Release slow5lib-v1.2.0 · hasindu2008/slow5lib

What's Changed slow5lib easy multi-thread API is no-longer beta and is fully documented now at https://hasindu2008.github.io/slow5lib/slow5_api/slow5_mt_api.html. Examples at here new low-level AP...

GitHub
@Psy_Fer_ @hasindu2008 The advantages of SLOW5 over fast5 were obvious. Given that POD5 has now become the standard output for ONT, how does SLOW5 compare? What are the potential advantages and reasons to adopt it? Thanks
@hasindu2008 @typeMAT12 This right here...the way the basecallers are written, they do a LOT of random access, where buttery-el does sequential access. Pod5 is terrible at random access