Python-bloggers

"R Python" continued... Kernel SHAP

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 ...

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 ...

Matplotlib is a data visualization module used often in Python. In this video, we will go over some introductory basic commands. Doing so will allow anybody who wants to be able to make simple manipulations to their visualizations.

Data Science has (unnecessarily) divided the world into two halves – R users and Python users. Irrelevant of the group you belong to, there’s one thing you have to admit – each language individually has libraries far superior to anything available in the alternative. For example, R Shiny is much easier ...

It will come as no great surprise that here at Jumping Rivers, we are huge advocates for learning data skills. There are many benefits to learning at least some basic data skills, even if you don&...

Let’s talk about version control and collaboration today and one of its powerful tools: git ✨ 💡What is Git? Using Git can be a lifesaver (and it has often been one in the past for me 🙏). It’s basically like a mini time travel machine that you use - it ...

A linter and a styler can help you to write cleaner and more consistent code. In this post we’ll look at how to set up both for a Python project.

This is part one of our three part series Part 1: API as a package: Structure (this post) Part 2: API as a package: Logging (to be published) Part 3: API as a package: Testing (to be published) Introduction At Jumping Rivers we were recently tasked with taking a prototype application built in {...

In the video below we will take a look at how to perform a random forest regression analysis with Python. Random forest is one of many tools that can be used in the field of data science to gain insights to help people.