Python-bloggers

So, you’ve mastered the basics of ggplot2 animation and are now looking for a real-world challenge? You’re in the right place. After reading this one, you’ll know how to download and visualize stock data change through something known as race charts. You can think of race charts ...

Forecasting with XGBoost embedded in Quasi-Randomized Neural Networks at the International Symposium on Forecasting.

Ever wondered what it takes to develop a product? Imagine you’re choosing a company to make your product a reality. What makes you choose one over another? Is it their cool website or their experience with enterprises from Fortune500? When it comes to building quality software solutions, there really ...

Whether you’re a seasoned financial analyst or a data-proficient professional, understanding the calculation of investment returns can help assess the profitability and risks of various assets. This post explores three core methods for calculating investment returns: normalized returns, daily returns, and logarithmic daily returns. The integration of Python within ...

Following the release and an introductory blog post on Tapyr, our Shiny for Python framework, we recently hosted a Shiny Gathering to further explore its features and capabilities. ‍ Ready to simplify your PyShiny dashboard development? Learn how to get started with Tapyr in this introductory guide. ‍Here’s a summary ...

Upsampling time series data involves increasing the frequency of your data points by filling in gaps to transform a lower-frequency dataset into a higher-frequency one. This process is often necessary when aligning datasets with different frequencies or when a more granular view of the data is required. For instance, in ...

The main criticism people have when it comes to ggplot2 is the static nature of the charts it has to offer. Truth be told, it will never be an interactive visualization king like Highcharts, but it doesn’t mean animation is out of the picture. Meet R gganimate – a natural ...

This trilogy celebrates the 40th birthday of Tweedie distributions in 2024 and highlights some of their very special properties.

Forecasting Monthly Airline Passenger Numbers with Quasi-Randomized Neural Networks.

With the new {rhino} 1.8.0, we’re happy to introduce {box.linters}. This new package helps check code for projects using {box}. Looking to upgrade your enterprise dashboard to Rhino? Check out how it’s done with the World Bank’s Carbon Pricing dashboard.  In this article, we’ll show you ...