In an era where data drives critical decisions, interactive dashboards and data applications have ascended as indispensable tools across sectors like business, scientific research, and more. This is especially true in fields like life sciences, where the need for accessible data analytics and visualization is critical for research and healthcare ...

We’re happy to announce a new data science in Python course by Appsilon has been released and is available to everyone for free, as open-source material! Check out the course repository on GitHub!  The course is a great way to introduce yourself to the Data Science world. It does ...

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 ...

Quarto, the successor of R Markdown, is a powerful tool for creating reports and presentations. In this blog post, I’ll show you how easy it is to use Quarto in Visual Studio Code (VS Code) together with Python. Make your coding experience a breeze and learn useful techniques with ...

Are you maximizing the benefit of templates for your machine learning or data science projects? At Appsilon, we’ve built numerous R Shiny dashboards and machine learning projects for data science teams at Fortune 500s. Over the years, we’ve recognized the value of templates for quickly building and, equally ...

Streamlit Tutorial on RStudio Connect At Appsilon we specialize in R and Shiny, but as data scientists and ML engineers we also know our way around Python. In our recent Streamlit tutorial series, we created a Streamlit application from scratch. If you completed the tutorial you might’ve noticed it ...