Simplify your Team’s Data Pipelines with the Xarray Workshop

XARRAY WORKSHOP

Xarray Workshop Overview

This two-hour workshop introduces participants to the Xarray project for manipulating multi-channel data (e.g., as occur commonly in geosciences, etc.). Participants practice using Xarray for data analysis extending techniques from Pandas & NumPy to high-dimensional labeled arrays.

Keep reading below for more information about this training course or click the button here to fill out a workshop request

Prerequisites

We assume participants have prior experience using the Python language and, in particular, using standard Python tools for data analysis (notably NumPy, Pandas, Jupyter). Some prior experience working with NETCDF, HDF, or related file formats for representing scientific data sets is useful but not required.

Learning Objectives

At the end of this workshop, participants should be able to:

 

  • Explore & analyze high-dimensional Xarray labeled data with NumPy- or Pandas-style operations (e.g., groupby, indexing, selection,  broadcasting, etc.)
     

  • Design Dask-based pipelines with Xarray for out-of-core computation on large datasets
     

  • Persist or ingest Xarray core data structures using with various standard file formats

To be contacted by a Quansight representative, or for more information, please fill out the form at the link below.

© QUANSIGHT 2020

  • LinkedIn - White Circle
  • Facebook - White Circle
  • Twitter - White Circle
  • White YouTube Icon
github.png