Intro to Data Analysis with Python Data-table
summary
Claims datatable is a pandas alternative built for big data with a C core with copy‑on‑write columns and virtual columns materialize lazily so many operations avoid copying. Demonstrations show reading 2.6M rows and converting between pandas/numpy, process up to 100 GB on a single node (goal 10× increase), groupby runs ~3.3s vs ~9s in pandas, sorts and selections run in microseconds, and CSV write/read finishes in seconds. Integrations with Jupyter and h2o/Driverless AI are implemented and function during the demo.
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chapters (9)
- 0:00Data.table origins
- 8:41Core architecture
- 14:45Syntax design
- 22:43Setting up hands-on environment
- 35:10Load Lending Club data
- 43:15Basic wrangling
- 52:44Pandas comparison
- 1:06:11Community guide
- 1:09:03Q&A
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