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 backend frameworks for distributed computing in Python.

This instructor-led, live training (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis.

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

• Set up the necessary environment to start developing scalable Pandas workflows with Modin.
• Understand the features, architecture, and advantages of Modin.
• Differentiate between Modin, Dask, and Ray.
• Perform Pandas operations more efficiently with Modin.
• Implement the entire Pandas API and functions in a parallelized manner.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for government or other specific needs, please contact us to arrange.