- add `L.map_filter` and `L.map_first` ([97](https://github.com/fastai/fastcore/issues/97)) - These support some nice refactorings, like changing from this: python d = [] for c in cs: m = f(c) if not m: continue d.append(m.group(1))
to this: python d = cs.map_filter(f).map(Self.group(1))
1.0.14
Bugs Squashed
- Reapply fix for 86 which was unintentionally reverted by the next commit ([91](https://github.com/fastai/fastcore/issues/91))
1.0.13
New Features
- `dict2obj`: Convert (possibly nested) dicts (or lists of dicts) to `SimpleNamespace` ([90](https://github.com/fastai/fastcore/issues/90))
1.0.12
New Features
- add function support to `store_attr` ([85](https://github.com/fastai/fastcore/issues/85))
Bugs Squashed
- `mp_context` keyword for initialising concurrent.futures.ProcessPoolExecutor only supported in python 3.7+ ([86](https://github.com/fastai/fastcore/issues/86))
1.0.10
Breaking Changes
- remove `parallel_chunked`, use `chunksize` arg to `parallel` instead ([81](https://github.com/fastai/fastcore/issues/81))
New Features
- move fastscript to fastcore.script ([84](https://github.com/fastai/fastcore/issues/84)) - add `run_proc` and `do_request` ([83](https://github.com/fastai/fastcore/issues/83)) - added `chunksize` to `parallel`, which passes to `ProcessPoolExecutor.map` ([82](https://github.com/fastai/fastcore/issues/82)) - move metaclasses and delegates et al to new `meta` module ([80](https://github.com/fastai/fastcore/issues/80))
1.0.4
New Features
- Remove numpy prerequisite ([75](https://github.com/fastai/fastcore/issues/75)) - NB: fastcore's `L` and other collection features still work with numpy arrays, but they do so internally using instance methods, so numpy is no longer a prerequisite, and numpy is not loaded if not used