Accelerating Python Pandas Workflows with Modin Training Course

Modin is a parallel data frame system designed to accelerate Pandas workflows. It enables the handling of large datasets by leveraging Ray or Dask as the backend framework for distributed computing in Python.

This instructor-led, live training (available online or on-site) is tailored for data scientists and developers who wish to utilise Modin to build and implement parallel computations with Pandas, enabling faster data analysis.

By the end of this training, participants will be able to:

• Set up the necessary environment to begin developing scalable Pandas workflows with Modin.
• Understand the features, architecture, and advantages of Modin.
• Identify the key differences between Modin, Dask, and Ray.
• Execute Pandas operations more efficiently using Modin.
• Implement the full Pandas API and its associated functions.

Course Format

• Interactive lectures and group discussions.
• Abundant exercises and practical activities.
• Hands-on implementation within a live-lab environment.

Course Customisation Options

• To request a customised version of this training, please contact us to arrange.