From Jupyter to Kubernetes: Refactoring and Deploying Notebooks Using Open-Source Tools
Notebooks are great for rapid iterations and prototyping but quickly get messy. After working on a notebook, my code …
Blog
Analyze and plot 5.5M records in 20s with BigQuery and Ploomber
This tutorial will show how you can use Google Cloud and Ploomber to develop a scalable and production-ready pipeline. …
A Gentle Introduction to Open-Source Contributions
As Ploomber becomes the go-to tool for building pipelines from Jupyter, we’ve seen an increasing interest from our …
How Evidation uses Ploomber to develop production-ready data science pipelines directly from Jupyter
Introduction At Evidation, we’ve developed a workflow to produce maintainable, robust, and production-ready …
On Writing Clean Data Pipelines
When helping members of our community with architectural decisions regarding their data pipelines, a recurring question …
Model selection done right: A gentle introduction to nested cross-validation
This article will review one of the most important techniques in Machine Learning: nested cross-validation. When …