What Happens When You Run a Linux Command?

Dimensional analysis for gamma function values

Sometimes it’s useful to apply dimensional analysis where it doesn’t belong, to imagine things having physical dimension when they don’t. This post will look at artificially injecting dimensions into equations involving factorials and related functions. Factorials The factorial of n is defined as the product of n terms. If each

Falling power analog of binomial theorem

Yesterday I wrote about how the right notation could make Newton’s interpolation theorem much easier to remember, revealing it as an analog of Taylor series. This post will do something similar for the binomial theorem. Let’s start with the following identity. It’s not clear that this is true, or how

Why eliminate trusted third parties?

Suppose one company would like to buy another company’s client list, but only if the lists don’t overlap too much. Neither company wants to hand over their list to the other before a sale takes place. What can they do? A low-tech solution would be for both parties to provide

What is TCP/IP Model and How Does The Protocol Work

Learn the basics of the TCP/IP model, its layers, how TCP and IP work, and why it powers modern networking, from web browsing to IoT and 5G. Continue reading What is TCP/IP Model and How Does The Protocol Work on SitePoint.

Master Linux: Your Guide to Commands, Customization, and History

5 Misunderstood Linux Commands: Explained

These 3 Forgotten Linux Commands Are Actually Hilarious

Discrete Taylor series

Newton’s interpolation formula looks awfully complicated until you introduce the right notation. With the right notation, it looks like a Taylor series. Not only is this notation simpler and more memorable, it also suggests extensions. The notation we need comes in two parts. First, we need the forward difference operator

Robots building robots in a robotic factory

Ryan talks with Sterling Chin, a senior developer advocate at Postman, about the intersection of APIs and AI. They cover the emergence of AI APIs, the importance of quality APIs for AI integrations, and the evolving role of GraphQL in this new landscape. Sterling explains how some organizations are shifting