Highlights from Shiny in Production (2023)
Published: October 19, 2023
On October 12-13 2023, Jumping Rivers hosted the Shiny in Production conference, delving into all things Shiny! Read on for a rundown of the event highlights.
Dr Parisa Gregg
Parisa has a PhD in Particle Physics from Durham University, which she undertook within the CDT in Data Intensive Science. She enjoys programming in Python and applying machine learning to real-world problems.
Reproducible reports with Jupyter
Published: September 21, 2023
Jupyter notebooks are a popular tool for data scientists using Python. They allow us to mix together plain text (formatted as Markdown) with Python code. In this post, we will show you how to produce reproducible PDF and HTML reports from a Jupyter notebook using Quarto.
Quarto for the Python user
Published: February 2, 2023
As data scientists we often need to communicate conclusions drawn from data. Additionally, as more data is collected, our reports invariably need updating. In this blog post we will look at how Quarto allows us to weave together text and Python code to generate automated reports.
Customising figures in Matplotlib
Published: November 10, 2022
When creating graphs for a report or publication we usually want to ensure they follow a certain style. In this blog post we will look at formatting and colourmap customisation in the popular Matplotlib library.
Python app deployment with RStudio Connect: Streamlit
Published: September 8, 2022
In this installment of our series on deploying to RStudio Connect we take a look at Streamlit. Streamlit enables quick and easy creation of web applications for machine learning and data science. We will go through a simple app and how to deploy it.
Python API deployment with RStudio Connect: FastAPI
Published: September 1, 2022
Next up in our blog post series on deploying Python APIs to RStudio Connect is FastAPI. FastAPI is a high-performance web framework for building APIs with Python. Read on to see how you can deploy your FastAPI apps with RStudio Connect!
Python API deployment with RStudio Connect: Flask
Published: August 25, 2022
RStudio Connect (soon to be Posit Connect) is a platform that provides the ability to deploy and share R applications and reports. However, it is not just for R developers (hence the name change). RStudio Connect also supports many Python applications, including Flask. In this blog we will look at how to deploy a Flask app to RStudio Connect.
Have we got NEWS.md for you
Published: August 18, 2022
Roll up, roll up! Most R packages contain a NEWS file which documents the changes between each release. However, there is no definitive convention for how to format this file. In this post we will share some top tips for writing NEWS files, so that by the end you will be able to tell “good” NEWS from “fake” NEWS!
Stylising your Python code
Published: May 26, 2022
Have you ever wished your code could be as stylish as you? Linting is a process which helps ensure the format and style of your code adheres to best coding practices. Read on to learn about linters and auto-formatters, and start adding some PEP to your Python!
Diffify
Published: April 29, 2022
Welcome to Diffify, the tool that provides you with a comparison between different versions of any R package stored on the CRAN repositories.
