Python Equivalent to SAS Proc Logistic

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all right?

Guys, how do I write the following python SAS code?

Proc Logistis Data = Name_dataset outmodel Result_dataset;

model Var1 / Var2 = Var3 /lackfit;

output out = Name_dataset_fit p = Var_test

Run;

and the code

Proc Logistis Data = Name_dataset outmodel Result_dataset;

class &Variable. /param=gml;

model Var1 / Var2 = Var3 &Variavel. /lackfit; output out = Name_dataset_fit p = var_test;

Run;

I don’t have much experience with logistic regression in any of these links.

Thank you very much.

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