* major additions to 1.4 migration doc; removed additional
verbosity regarding caching methodology and reorganized the
doc to present itself more as a "what's changed" guide
* as we now have a path for asyncio, update that doc so that
we aren't spreading obsolete information
* updates to the 2.0 migration guide with latest info, however
this is still an architecture doc and not a migration guide
yet, will need further rework.
* start really talking about 1.x vs. 2.0 style everywhere. Querying
is most of the docs so this is going to be a prominent
theme, start getting it to fit in
* Add introductory documentation for ORM example sections as these
are too sparse
* new documentation for do_orm_execute(), many separate sections,
adding deprecation notes to before_compile() and similar
* new example suites to illustrate do_orm_execute(),
with_loader_criteria()
* modernized horizontal sharding examples and added a separate
example to distinguish between multiple databases and single
database w/ multiple tables use case
* introducing DEEP ALCHEMY, will use zzzeeksphinx 1.1.6
* no name for the alchemist yet however the dragon's name
is Flambé
Change-Id: Id6b5c03b1ce9ddb7b280f66792212a0ef0a1c541
Applied on top of a pure run of black -l 79 in
I7eda77fed3d8e73df84b3651fd6cfcfe858d4dc9, this set of changes
resolves all remaining flake8 conditions for those codes
we have enabled in setup.cfg.
Included are resolutions for all remaining flake8 issues
including shadowed builtins, long lines, import order, unused
imports, duplicate imports, and docstring issues.
Change-Id: I4f72d3ba1380dd601610ff80b8fb06a2aff8b0fe
to allow ad-hoc display of the source of any file, as well as a "directory listing" structure.
- reorganize examples/ to take advantage of new extension. in particular, keep moving all
the descriptive text for files etc. into module docstrings, taking more advantage of
self-documentation.
- added READMEs to all examples in each __init__.py and added to sphinx documentation
- added versioning example
- removed vertical/vertical.py, the dictlikes are more straightforward
Federico Caselli