From 4577b45199e33e6ad5af681f85312ce037c882f9 Mon Sep 17 00:00:00 2001 From: Guillaume Viejo Date: Tue, 28 May 2024 14:59:50 -0400 Subject: [PATCH] Update docs --- docs/api_guide/tutorial_pynapple_nwb.py | 4 ++++ docs/pynajax.md | 5 +++++ 2 files changed, 9 insertions(+) diff --git a/docs/api_guide/tutorial_pynapple_nwb.py b/docs/api_guide/tutorial_pynapple_nwb.py index 1e749d7c..f82874b2 100644 --- a/docs/api_guide/tutorial_pynapple_nwb.py +++ b/docs/api_guide/tutorial_pynapple_nwb.py @@ -49,9 +49,13 @@ print(data['z']) # %% +# # Internally, the `NWBClass` has replaced the pointer to the data with the actual data. # # While it looks like pynapple has loaded the data, in fact it did not. By default, calling the NWB object will return an HDF5 dataset. +# !!! warning +# +# New in `0.6.6` print(type(z.values)) diff --git a/docs/pynajax.md b/docs/pynajax.md index 75e46e3b..ba7217bf 100644 --- a/docs/pynajax.md +++ b/docs/pynajax.md @@ -1,5 +1,10 @@ ### Motivation + +!!! warning + + New in `0.6.6` + Multiple python packages exist for high-performance computing. Internally, pynapple makes extensive use of [numba](https://numba.pydata.org/) for accelerating some functions. Numba is a stable package that provide speed gains with minimal installation issues when running on CPUs. Another high-performance toolbox for numerical analysis is