Pandas
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Notes
- Pandas — Fundamentals and Indexing 7 The dominant tabular-data library in Python.
- Pandas — groupby, merge, reshape 7 The bread-and-butter operations that interviewers probe for performance and semantic understanding.
- When Pandas Breaks Down — and What to Reach For 7 A senior interview question: "you have 10 GB of data, can Pandas handle it?" Knowing where Pandas fails and what to swap in.
- Data profiling and validation 4 "Data profiling techniques" on a Python job ad means: before you build on a dataset, you can say what is in it — types, nulls, cardinality, distributions,…