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Benchmark Machine

Tom Augspurger edited this page 2017-09-06 07:10:22 -05:00

Table of Contents

• Configuration
• Publishing
• Debugging

Wes purchased a dedicated machine for running the benchmarks. Ask him or Tom for SSH access if needed. The results are published to http://pandas.pydata.org/speed/pandas/

Configuration

The machine can be configured with the Ansible playbook in this repository.

Publishing

The results are published to another Github repository, https://github.com/tomaugspurger/asv-collection. Finally, we have a cron job on our docs server to pull from https://github.com/tomaugspurger/asv-collection, to serve them from /speed. Ask Tom or Joris for access to the webserver.

Debugging

The benchmarks are scheduled by Airflow. It has a dashboard for viewing and debugging the results. You'll need to setup an SSH tunnel to view them

ssh -L 8080:localhost:8080 pandas@panda.likescandy.com

For Developers

• Contributing
• Code Style and Conventions
• Testing
• Performance Testing
• Documenting new features and bug fixes
• Using Git
• Choosing Exceptions to Raise
• A quick overview of pandas.util
• Git Workflows
• Pandas Development FAQ
• Windows
• Specialities

For maintainers

• Maintainer Overview
• Merging Commits
• Release Checklist
• Building and uploading the official documentation
• Benchmark Machine
• Adding new maintainers