Catalog of EasyData Documentation

• README

• Read the Docs

  • What is EasyData
  • EasyData Opinions (design choices that went into how EasyData was built)
  • Datasets (about the Datset object)
  • Example Notebooks
    • Basic Starter Notebook
    • Template notebooks for how to create common Dataset objects

• Built-in Docs. These are part of the template and are generated as part of an easydata repo under reference/easydata

  • Setting up and Maintaining your Conda Environment (Reproducibly)
  • Getting and Using Datasets
  • Setting up git and Checking Out the Repo
  • The Easydata Git Workflow
  • Using Notebooks for Analysis
  • Specifying paths in Easydata
  • Sharing your Work
  • Troubleshooting Guide

• This wiki

  • Basing a repo off a fresh easydata project
  • Catalog of EasyData Documentation
  • CI for Environments
  • Conda Environment Muckery
  • Configuring SSH Access to Github
  • Configuring SSH Access to Github or GitLab
  • EasyData Talks and Tutorials
  • Getting Started with EasyData Environments
  • Git Extreme Actions
  • Git Tutorial
  • GitHub (GitLab) Workflow Cheat Sheet
  • Github Workflow Cheat Sheet
  • Merging Easydata Changes into a Generated Project
  • Reproducibility Bugs
  • Testing changes to Easydata
  • Why don't you use X instead?

EasyData Talks and Tutorials

• Zeno Does Data Science- The Paradoxical Quest for Reproducibility - Kjell Wooding | PyData NYC 2022
• Makefiles: One Great Trick for Making Your Conda Environments More Managable | PyData Global 2021
• Love Your (Data Scientist) Neighbour - Amy Wooding | PyData Global 2021
• Up your Bus Number - A Reproducible Data Science Workflow - Kjell Wooding, Amy Wooding | PyData NYC 2018

Blog Posts

• Hackalog Blog
  • API Ch-ch-changes A quick guide to the changes in EasyData 2 - June 2, 2021
  • Making a git-friendly Catalog Format API Lessons learned from a year of building (and using) Easydata - May 25, 2021
  • Cache is Magic Caching is finicky, but magical when you get it right. - May 6, 2020
  • Implementing the DatasetGraph How the Dataset DAG became a hypergraph became the DatasetGraph. - May 4, 2020
  • Building Transformers and Datasets The Easydata Dataset dependency hypergraph, described. - April 13, 2020
  • Building a Dataset Dependency Graph for Easydata We thought we were building a graph of dependencies. Turns out we had a hypergraph. - March 30, 2020
  • Reproducible Data Science What's the hardest part about reproducible data science? Recognizing the hard parts. - February 20, 2020
  • The Self-Documenting Makefile How to include a self-documenting show-help target in every Makefile you create, and make it your default rule. - January 28, 2020
  • Myths of the Python Environment Managers - January 20, 2020

Repos

• ReproAllTheThings Showcase for the Easydata framework (and regular test case) created by reproducing the EmbedAllTheThings notebooks by jc-healy.
• EasyData Tutorial Supporting materials for the 2021 Pydata Global Tutorial "Love your (Data Science) Neighbour"
• Make Better Defaults Improving your data science workflows with "make". A Pydata Global 2021 Talk
• Up Your Bus Number Up Your Bus Number: A Primer for Reproducible Data Science. A Pydata NYC 2018 Tutorial.