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Diego Torres Quintanilla

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How we upstreamed our internal goals to JupyterLab 4PyData NYC 20222022-11-09
Two Sigma describes concrete upstream contributions that land in JupyterLab 4: benchmarks show opening large notebooks falls from about four seconds to around…
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Cleaning, optimizing and windowing pandas with numbaPyData New York City 20192019-11-04
Claims a concrete refactor: separate windowing into indexer, aggregator, kernel so rolling, expanding and ewm reuse kernels and share code; implements a…
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