| def tweak_twitter(df: pd.DataFrame) -> pd.DataFrame: | |
| df = df.copy(deep=False) | |
| normalised_columns = {col: col.replace(' ', '_') for col in df.columns} | |
| df = df.rename(columns=normalised_columns) | |
| # filter uninteresting columns | |
| excluded_columns = [ | |
| 'permalink_clicks', 'app_opens', 'app_installs', 'email_tweet', 'dial_phone', | |
| ] | |
| excluded_columns += [col for col in df.columns if 'promoted' in col] | |
| df = df.drop(columns=excluded_columns) |
https://hackmd.io/axI1tQdwQB2pTJKt5XdY5w#Next-gen-conda-recipe-spec
It would be great if there was a better story for optional dependencies.
The special-casing of test requirements is inconsistent with the requirements for host/build/run.
The fact that you can't independently install the test dependencies is a huge usability wart and suggests there should be a better way of supporting them.
| #include <iostream> | |
| #include <vector> | |
| #include <mkl.h> | |
| #include <mkl_df.h> | |
| using namespace std; | |
| int main () { | |
| const int nx = 11; // #rows in x | |
| const int ny = 1; // #cols in y |