This release of Elephant marks the change to Numpy 2.x, while Numpy 1.x is no longer supported. Along with this change, a number of new features and improvements for existing functionality were added, in part related to the new concept for managing experimental trials using elephant.trials objects. New Features For the spike times extraction methods in the spike_train_generation module, added multichannel support for neo.AnalogSignal and introduced the always_as_list parameter to ensure spike trains are returned as a list. (#614) Extended statistics.time_histogram to accept both a single spike train and lists of spike trains. (#650) Extended statistics.fano_factor to accept elephant.trials objects. (#645) Added a datasets.load_data function to simplify tutorial and analysis code by allowing dataset retrieval and generation. (#687) Bug Fixes Fixed numerical stability issues in van_rossum_distance by preventing small negative floating-point before square root evaluation. (#680) Fixed issue in statistics.instantaneous_rate function related to unexpected pooling behavior and kernels that exceed the signal length. (#649, #688) Fixed BinnedSpikeTrain slicing issues caused by changes in SciPy (>=1.15.0) sparse matrix index validation. (#653, #685) Resolved GPU backend detection inconsistencies when CUDA libraries are present but PyCUDA is unavailable. (#666) Fixed GPU kernel launch resource errors in CUDA-accelerated ASSET computations by adapting thread selection dynamically. (#667) Documentation Improved general documentation quality, including parameter descriptions and tutorial clarity. (#641) Fixed documentation build failures by aligning python version(=3.12) for docs test and ReadTheDocs build CI jobs. (#677) Replaced hidden notebook plotting cells with equivalent Viziphant functions. (#677) Added a new documentation section for example datasets. (#687) Fixed documentation build issues related to sphinx-tabs compatibility. (#681) Fixed ReadTheDocs MPI-related build failures. (#682) Breaking changes Removed deprecated verbose parameter in the ASSET module in favor of using Python logging module. (#669) Other changes Added Python 3.13 CI runner to ensure compatibility with the latest Python language features (#654) Updated README with maintainer contact information. (#683) Note: macOS wheels for Elephant are currently distributed as pure Python wheels. The C++ accelerated spade module falls back to a Python implementation on macOS, which may result in reduced performance compared to builds using the C++ backend. Full macOS compiled-acceleration support will be restored in a future patch release. Selected dependency changes Support for Python 3.13 (#654) NumPy ≥ 2.0 (#656) Support for SciPy 1.17 (#685)