Hello,
I’m working in a project that consists in converting a local postgresql database (that uses sqlalchemy as the ORM) into a web application, in which I upload excel sheets, read them, do some small cleaning and then upload selected data into a postgresql database using Django’s ORM. The idea is to have the data in a server instead of in every user’s machine. Everything is ok but data loading is taking too long since, I think, I am using panda’s dataframes to easily structure, read and save the data. In the local version of the library, I used lists and was way faster. I don’t if it’s related to Sqlalchemy, Django, lists or dataframes. Any suggestions on how to read spreadsheets data and upload it into a postgresql database using Django? Thanks a lot. -- You received this message because you are subscribed to the Google Groups "Django users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/django-users. To view this discussion on the web visit https://groups.google.com/d/msgid/django-users/c43db26f-45fd-4769-b8ce-7f34cc7ca594%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
