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Efficiently manage and query large item collections in the browser. A high-speed search, filtering, and sorting engine for massive datasets (100K+ items). Zero dependencies. Fully tree-shakeable
🧙♀️🃏✨ Magic the Gathering image dataset with automatic multithreaded downloading and optional conversion to HDF5. Powering my other projects like mtg-vision 🐍🇿🇦
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Use PySpark and SparkSQL to execute SQL queries through a temporary view of the DataFrame created. Conduct additional queries on cached and partitioned data to determine runtime comparisons.
Module 22 Challenge, Big Data, use of SparkSQL to determine key metrics about home sales data. Temporary views, partitioned data, cached and uncached a temporary table, and verifying table as uncached.