The ML package map — numpy, pandas, sklearn, torch — step 5 of 7

A teammate asked Cursor to document which package your project uses for which job, and pasted the answer straight into the onboarding script. Two rows are swapped: it claims torch handles tables and pandas handles neural networks — exactly backwards, and now the new hire's cheat sheet lies to them.

Fix the two swapped values so the script prints:

tables and CSVs -> pandas
neural networks -> torch

A teammate asked Cursor to document which package your project uses for which job, and pasted the answer straight into the onboarding script. Two rows are swapped: it claims torch handles tables and pandas handles neural networks — exactly backwards, and now the new hire's cheat sheet lies to them.

Fix the two swapped values so the script prints:

tables and CSVs -> pandas
neural networks -> torch

A teammate asked Cursor to document which package your project uses for which job, and pasted the answer straight into the onboarding script. Two rows are swapped: it claims torch handles tables and pandas handles neural networks — exactly backwards, and now the new hire's cheat sheet lies to them.

Fix the two swapped values so the script prints:

tables and CSVs -> pandas
neural networks -> torch

A teammate asked Cursor to document which package your project uses for which job, and pasted the answer straight into the onboarding script. Two rows are swapped: it claims torch handles tables and pandas handles neural networks — exactly backwards, and now the new hire's cheat sheet lies to them.

Fix the two swapped values so the script prints:

tables and CSVs -> pandas
neural networks -> torch

A teammate asked Cursor to document which package your project uses for which job, and pasted the answer straight into the onboarding script. Two rows are swapped: it claims torch handles tables and pandas handles neural networks — exactly backwards, and now the new hire's cheat sheet lies to them.

Fix the two swapped values so the script prints:

tables and CSVs -> pandas
neural networks -> torch

A teammate asked Cursor to document which package your project uses for which job, and pasted the answer straight into the onboarding script. Two rows are swapped: it claims torch handles tables and pandas handles neural networks — exactly backwards, and now the new hire's cheat sheet lies to them.

Fix the two swapped values so the script prints:

tables and CSVs -> pandas
neural networks -> torch

A teammate asked Cursor to document which package your project uses for which job, and pasted the answer straight into the onboarding script. Two rows are swapped: it claims json handles tables and pandas handles API payloads — exactly backwards, and now the new hire's cheat sheet lies to them.

Fix the two swapped values so the script prints:

tables and CSVs -> pandas
parse an API payload -> json

A teammate asked Cursor to document which package your project uses for which job, and pasted the answer straight into the onboarding script. Two rows are swapped: it claims torch handles tables and pandas handles neural networks — exactly backwards, and now the new hire's cheat sheet lies to them.

Fix the two swapped values so the script prints:

tables and CSVs -> pandas
neural networks -> torch

A teammate asked Cursor to document which package your project uses for which job, and pasted the answer straight into the onboarding script. Two rows are swapped: it claims torch handles tables and pandas handles neural networks — exactly backwards, and now the new hire's cheat sheet lies to them.

Fix the two swapped values so the script prints:

tables and CSVs -> pandas
neural networks -> torch

A teammate asked Cursor to document which package your project uses for which job, and pasted the answer straight into the onboarding script. Two rows are swapped: it claims torch handles tables and pandas handles neural networks — exactly backwards, and now the new hire's cheat sheet lies to them.

Fix the two swapped values so the script prints:

tables and CSVs -> pandas
neural networks -> torch

A teammate asked Cursor to document which package your project uses for which job, and pasted the answer straight into the onboarding script. Two rows are swapped: it claims torch handles tables and pandas handles neural networks — exactly backwards, and now the new hire's cheat sheet lies to them.

Fix the two swapped values so the script prints:

tables and CSVs -> pandas
neural networks -> torch