Refactoring Russian Doll Code
Refactoring Russian Doll Code
Recently, I’ve been working with an environmental scientist to refactor a large R package. Let’s call her Jane.
Jane inherited a mess of code, and had to ...
Python-bloggers
Data science news and tutorials - contributed by Python bloggers
R Shiny vs Shiny for Python: What are the Key Differences
If you haven’t been living under a rock for the past couple of weeks, you’ve likely noticed some groundbreaking news in the Shiny department. Yes, it’s finally available for Python! But how is the current Shiny for Python version? How does R Shiny compare vs Shiny for ...
Mocking Cognito in Python (at no cost)
Mocking up real services is a no-brainer, no one wants tests to affect the production environment in any way. Here's how to do that with AWS Cognito in Python. [...Read more...]
Containerizing Shiny for Python and Shinylive Applications
Shiny for Python brings easy interactivity to web applications that build on the data and scientific stack of Python. Containerizing Py-Shiny apps is the next step towards deployment to a wide array of hosting options, including static hosting.
Team Collaboration in R and Python Made Easy
Bilingual teams that want to do serious data science require collaboration, transparency, and reproducibility across R and Python workflows while empowering professionals to work in their preferred language(s). Accomplishing this requires tools built for interoperability at scale and a shared standard between data science languages.
Here are a few ... [...Read more...]
Prediction intervals (not only) for Boosted Configuration Networks in Python
Prediction intervals for Machine Learning, using conformal prediction in Python package the-teller
Cross-Validation with Python VIDEO
Cross-validation is a valuable tool for assessing a model’s ability to generalize. In the video below, we will look at how to use cross-validation with Python.
Kernel SHAP in R and Python
API as a package: Testing
Introduction
This is part the final part of our three part series Part 1: API as a package:
Structure
Part 2: API as a package:
Logging
Part 3: API as a package: Testing (this post) This blog post is a follow on to our API as a package series, which
looks to expand ...
Get Started with Shiny for Python
Shiny is a framework that makes it easy to build interactive web applications without requiring traditional web development skills. Since its introduction ten years ago for R, Shiny has made it possible for R users to communicate with a much broader audience—and now Shiny is available for Python! Python ...
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