Python-bloggers

July 25 - 28 2022 saw thousands of people attend rstudio::conf(2022) both in-person in Washington D.C. and virtually from all over the world, including a few of us from Jumping Rivers. Here’...

1 hour to Power Query in Excel (PDQ = Pretty Darn Quick!) It’s the most exciting Excel development in a generation… but you’d be forgiven for not knowing about it! Overview This free one-hour workshop will serve as an introduction to Power Query in Excel: How tables serve as the “...

We’re now three months on from the initial release of Diffify, and what a few months it’s been! We thought now seemed like a good time to give you an overview of the big updates that D...

Shiny has been an R-exclusive framework from day one. Well, not anymore. At the recent Posit (RStudio) Conference, Posit’s CTO Joe Cheng announced Shiny for Python. Finally bringing the widely popular web framework to Python. As of August 2022, you really shouldn’t use Shiny for Python for mission-critical apps ...

Learn how to use Optuna with the transformers large language model library

I’m building a model which requires historical weather data from a selection of locations in South Africa. In this post I demonstrate the process of acquiring the data and doing some simple processing.

In a recent post, we discussed how to use Quarto with Python and VS Code. However, as a Python user, I’m not that familiar with .Rmd/.qmd files; I use ipynb notebooks most often. And in this post, I’ll show why you might consider using Jupyter Notebooks and ...