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Join these hands-on sessions. Each is independent of the others, so join them all!

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Get Better at Dask Dataframes

Wednesday, January 25, 2023 - 11am EST

1-hour session

In this lesson, we’ll learn some best practices around working with larger-than-memory datasets. We’ll use the Uber/Lyft dataset to:

  • Manipulate Parquet files and optimize queries
  • Navigate inconvenient file sizes and data types
  • Extract useful features with Dask Dataframe

By the end, we’ll learn the comparative advantages of working with the Parquet file format and how to efficiently work with big data.

Get Better at Dask DataFrames

May 24th, 2023 - 11am EDT

1-hour session

Learn best practices for larger-than-memory dataframes. Investigate Uber/Lyft data and learn to do the following:

  • Manipulate Parquet files and optimize queries
  • Navigate inconvenient file sizes and data types

Tune Parquet storage, build features, and explore a challenging dataset with Pandas and Dask.

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Parallelize Your Python Code: Futures API

June 7th, 2023 - 11am EDT

1-hour session

Parallelize a custom Python workflow that scrapes, parses, and cleans data from Stack Overflow:

  • Schedule custom tasks with the Dask Futures API
  • Scale arbitrary Python for-loop-y code

Accelerate common data munging tasks, and learn how to use the Dask Futures API for fine-grained execution.

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Parallelize Your Python Code: Futures API

June 7th, 2023 - 11am EDT

1-hour session

‍In this lesson, we’ll parallelize a custom Python workflow that scrapes, parses, and cleans data from Stack Overflow. We’ll get to:
  • Learn how to do arbitrary task scheduling using the Dask Futures API
  • Utilize blocking and non-blocking distributed calculations
By the end, we’ll see how much faster this workflow is using Dask and how the Dask Futures API is particularly well-suited for this type of fine-grained execution.
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