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Dask is a lightweight library for distributed computing in Python. David Dotson will be providing us with an overview of Dask. Dask is a highly flexible for analytics that enables data munging, exploration, visualization, and machine learning on larger-than-RAM datasets. The Dask API is modeled after well-known data structures in Python, such as Pandas DataFrames, NumPy arrays, and bags, making it very easy to work with. Dask supports the full benefits of out-of-core execution, distributed scheduling, and clustering all without the overhead of setting up and maintaining YARN or Spark, and can be installed easily using pip.
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Education - part-time and full-time training in web development, data science, and data engineering
Workspace - whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to support your company’s growth
Networking - events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences
To learn more about Galvanize, visit galvanize.com.