driving_crooner

I'm finding myself with a couple of really big databases and my PC is throwing memory errors so I'm moving the project to polars and learning on the way in, and would like to read your experience in how you did it, what frustrate you and what you found good (I'm still getting used with the syntax, but I'm loving how fast it reads the databases)

Em vista do comentado neste post post

https://lemmy.blahaj.zone/post/25042034

E aos recentes ataques que a comunidade trans vem recebendo em diferentes partes do mundo, inclusive no Brasil com a decisão do Conselho Federal de Medicina de negar a necessidade médica de tratamentos pra as pessoas trans, acho que como mostra de apoio deveríamos defederar a feddit.uk até que eles mudem suas políticas de permitir comentários transfobicos embora eles sejam em tom civil.

Muito obrigado pela atenção 🏳️‍⚧️

Someone have experience with this?

Estou com bondade de um PC novo, mas gostaria de uma thinkpad pra instalar um Arch nele.

Obrigado pelas dicas.

Hi, I want to know what is the best way to keep the databases I use in different projects? I use a lot of CSVs that I need to prepare every time I'm working with them (I just copy paste the code from other projects) but would like to make some module that I can import and it have all the processes of the databases for example for this database I usually do columns = [(configuration of, my columns)], names = [names], dates = [list of columns dates], dtypes ={column: type},

then database_1 = pd.read_fwf(**kwargs), database_2 = pd.read_fwf(**kwargs), database_3 = pd.read_fwf(**kwargs)...

Then database = pd.concat([database_1...])

But I would like to have a module that I could import and have all my databases and configuration of ETL in it so I could just do something like 'database = my_module.dabase' to import the database, without all that process everytime.

Thanks for any help.