How can I improve pandas performance without guessing?
A performance change should improve the measured workload without sacrificing correctness or wasting capacity. Which measurements and bottlenecks should be considered first?
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Models, data engineering, retrieval, analytics and databases.
A performance change should improve the measured workload without sacrificing correctness or wasting capacity. Which measurements and bottlenecks should be considered first?
I have a pylint message (w0707) on this piece of code (from https://www.django-rest-framework.org/tutorial/3-class-based-views/ ): class SnippetDetail(APIView): """ Retrieve, update or delete a snippet instance. """ def get_object(self, pk): try: return Snippet.objects.get(pk=pk) except Snippet.DoesNotExist: raise Http404 the message is: Consider explicitly
Recovery needs to recreate the working service and its required data after a machine or process is lost. Which artifacts and state need protection, and how should the restore be checked?
I want to UPDATE or INSERT a column in PostgreSQL instead of doing INSERT or UPDATE using INSERT ... ON CONFLICT ... because there will be more updates than more inserts and also I have an auto incrementing id column that's defined using SERIAL so it increments the id column everytime it tries to INSERT or UPDATE and that's not what I want, I want the id col
Compare suitability, operational responsibilities and limits before choosing this technology for a project. Which trade-offs should guide the decision?
I am reading about differences between JSON and JSONB datatypes on PostgreSql documentation https://www.postgresql.org/docs/13/datatype-json.html . There is this line The json data type stores an exact copy of the input text, which processing functions must reparse on each execution; while jsonb data is stored in a decomposed binary format that makes it slig
There are a number of Heroku CLI Postgres commands that all return the same error. For example: $ heroku pg:bloat psql: FATAL: no pg_hba.conf entry for host "...", user "...", database "...", SSL off At least one of these commands has worked in the past, but does not now. The database appears to be working fine otherwise. I can access it via my application's
I'm trying to understand the new structural pattern matching syntax in Python 3.10. I understand that it is possible to match on literal values like this: def handle(retcode): match retcode: case 200: print('success') case 404: print('not found') case _: print('unknown') handle(404) # not found However, if I refactor and move these values to module-level var
The same project needs to behave consistently on developer machines, in CI and after deployment. Which versions, dependencies and configuration should be recorded?