ICB-DCM/pyPESTO: pyPESTO 0.2.4

Ensembles/Sampling: General ensemble analysis, visualization, storage (#557, #565, #568) Calculate and plot MCMC parameter and prediction CIs via ensemble definition, parallelize ensemble predictions (#490) Optimization: New optimizer: SciPy Differential Evolution (#543) Set fides default to hybrid (#578) AMICI: Make guess_steadystate less restrictive (#561) and have a more intuitive default behavior (#562, #582) Customize time points (#490) Storage: Save HDF5 history with SingleCoreEngine (#564) Add read/write function for whole results (#589) Engines: MPI based distributed parallelization (#542) Visualization: Speed up waterfall plots by resizing scales only once (#577) Change waterfall default offset to 1 - minimum (#593) CI: Move GHA CI tests to pull request level for better cooperability (#574) Streamline test environments using tox and pre-commit hooks (#579) Test profile and sampling storage (#585) Update for Ubuntu 20.04, add rerun on failure (#587) Minor fixes (release notes #558, nlop tests #559, close files #495, visualization #554, deployment #560, flakiness #570, aggregated deepcopy #572, respect user-provided offsets #576, update to SWIG 4 #591, check overwrite in profile writing #566