In simple terms:
flush and commit, later queries will be able to retrieve these changes.flush() changes are in a pending state (no db statements are issued yet), and can be undone by rollback(); commits are persisted to db and non-reversible.Why use flush:
Github actions getting stuck in limbo, never starting. No fear! There is a solution!
Continue readingError running pre-commit:
Type tag 'jupyter' is not recognized. Try upgrading identify and pre-commit?>>> dance.__name__
'dance'>>> callable(foo)
True/False2 Errors that were painful to debug.
Continue readingSometimes data is corrupted, and you just want to nuke the whole world and start a new life. In which case do:
$ docker container prune
$ docker volume pruneDomain Driven Design basically means to let business logic decide on object model, and construct the rest of the code from that starting point. Instead of, say, starting off by designing db schema and build from grounds up.
Continue readingAnd, what is the difference between raising normal errors and assertions? Basically:
| Raising Error | Assertion |
Raise ValueError('Input not in range [1, 10]') | assert 1 <= v <= 10 |
| Intended for users | Intended for developers |
| Happens when user action is illegal | Happens when code contains bug |
| To signal to user to take a different course of action | To easily find where code starts to error |
| Cannot and should not be disabled | Can be disabled during compilation, therefore should not be used in logics like data validation |
Usually, the error module x has no attribute y means that:
x file, which collides with python’s x modulex collides with python’s x moduleThe online service that I used to use for processing kindle clippings, my.clippings.io, released a new version this week. And lo and behold, everything useful is behind a paywall.
I only needed it for processing My Clippings.txt to export it into Evernote, and it’s just file processing of standard format txt, so I thought I’d just whip up a simple version for my own use.
Initially I had planned to write a script for it, like the ruby one I did for cleaning up the mess of record files in kindle, after you delete books. But on second thought, it would be nice if other non-technical people can use it easily too. So, here it is:
On upload of a clippings file, it will have your highlights grouped by book title and sorted by location and timestamp.