Claude Paugh

Dask is a flexible library for parallel computing in Python. It is designed to scale from a single machine to a cluster of machines seamlessly. By using Dask, you can manage and manipulate large datasets that are too big to fit into memory on a single machine.

In today's data-driven world, organizations are generating vast amounts of data every second. This data can be a goldmine for insights when processed and analyzed effectively. One of the most powerful tools in this realm is Apache Spark.

Hace varios años, comencé un proyecto paralelo que pensé que sería divertido: agregar y cargar presentaciones mensuales ante la SEC de ETF y fondos mutuos.