Solutions for the rest of us.
If you are an academic, a journalist, or a researcher, you’ve likely felt the frustration of staring at a coding tutorial that assumes you already have a degree in Computer Science. You don’t want to spend weeks learning memory management; you want to map a dataset, visualize a trend, and find a solution. And office software just isn't cutting it anymore.
That is why I created Julia, the programming language for people who just want the solutions series of books, posts and podcasts.
The Method Behind the "Madness"
The Diary of a Mad Data Scientist is a chronicle of the iterative, sometimes chaotic, and deeply rewarding process of technical discovery. The "Madness" isn't about anger—it's about the drive to tinker.
I’ve been "mad" since 1996, when I crashed and burned a dotcom startup before it was fashionable. Back then, I was wrestling with SGI workstations, Cisco routers, and the full Netscape server stack just to create a private newsgroup server—a "Slack" twenty years too soon.
I ultimately chose a career in the law, serving as an Administrative Law Judge and Associate General Counsel for Washington Mutual and JPMorgan Chase. But that "mad" tinkerer never left. Today, I use that same rigor to route complex audio toolchains through a Mac Studio, script the macOS command line, and build publishing pipelines in Typst.
Why Julia?
I’ve spent years looking for a language that balances power with a human-readable, "solution-first" philosophy. I found it in Julia. Through my Julia, the programming language for people who just want the solutions book series and my screencasts, I translate the power of this language for people who just want the results.
My commitment to clear communication is rooted in a liberal arts foundation—a journey that began back in my days at Occidental College. I believe the best technical guides are written by people who remember what it feels like to be a beginner.
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