In the last post introducing Python, I demonstrated how to make a simple app using variables and conditional statements. In order to do anything really powerful in a given programming language though, ...

Azure Functions, Microsoft's take on cloud-hosted, serverless, event-driven computing, now officially supports the Python programming language. The general availability of Python support follows a ...

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

Python trades runtime speed for programmer convenience, and most of the time it’s a good tradeoff. One doesn’t typically need the raw speed of C for most workaday applications. And when you need to ...

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports. There’s an intriguing new option for people who ...

The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ...

If you’re looking for a place to start, W3Schools has a Python tutorial that’s pretty straightforward. It breaks things down ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript, or another ...

Reticulate is a handy way to combine Python and R code. From the reticulate help page suggests that reticulate allows for: "Calling Python from R in a variety of ways including R Markdown, sourcing ...