When I started learning docker, I thought that docker works like constructor: you take image(s), put some code over it, and then you can build an image for furt
I'm trying to run the accepted answer mentioned here on a Azure Databricks Notebook which yields the following error ModuleNotFoundError: No module named 'dbuti
This is my code, in which I am adding data to a list: fun bindProcess(listOfDocId: MutableList<String>, isActvityLogEnabled: Boolean): Observable<Muta
I want to print this data on my mobile screen but it shows me nothing when I write the code from this response: This is my code: const [data, setData] = us
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As in the tutorial, trying to execute tff.learning.build_federated_averaging_process(model_fn, client_optimizer_fn=lambda: tf.keras.optimizers.SGD(0.02)) but on
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I need to provide a translated string to a saga. Simplified, I now have: export function* createAppointment(action){ yield put({ type: ACTION_REQUESTED, data: