You are interested in improving your workflow in data science and Python.
You work with databases from different sources like CSVs, accdb, and SQL, and want to create a module to extract and transform these databases into pandas DataFrames. You frequently use CSVs in different projects and need to prepare them every time by copying and pasting code. You want to create a module to import the databases and configurations, including columns, names, dates, and dtypes, to streamline the ETL process.
You are using rpy2 to interface between R and Python.
You often need to analyze different combinations of columns in a DataFrame, ensuring some columns are always analyzed together.
Let me know if there’s anything you’d like to modify or add!
1 and 3 are pretty good as baseline for my needs, but 2 and 4 were just specific problems I had to solve that are not something I need generally.
ChatGPT answer:
😂 I tried again. Each time is a surprise.
Huh. I did mine too, then asked it to list it. It’s just a summary of the memory feature preloaded as context for any new first input.
1 and 3 are pretty good as baseline for my needs, but 2 and 4 were just specific problems I had to solve that are not something I need generally.
Yours is short. Mine was 47 points long and had so much stuff about questions I had asked.
Importantly, it did list that I explicitly do not want it to show me how to make unit tests.