`dask-awkward` migration & `coffea` 2023

[alexander-held]

see also #113 and #164

• __setitem__ for floats for things like events["pt_scale_up"] = 1.03 (instead of using dak.ones_like(events.MET.pt))
• np.random on dask-awkward arrays
  • could use dask.array (example: dask.array.random.uniform(size=(1000,), chunks=(250,)), dak.to_dask_array and dak.from_dask_array
  • could usenp.random.normal within dak.map_partitions
• histogram filling with float weights (AttributeError: 'float' object has no attribute 'ndim') [FEATURE] Float weights for dask histograms scikit-hep/hist#493 -> done via feat: support float weight argument dask-contrib/dask-histogram#69