Here you’ll find documents of varying technical degree covering things of interest to me, or which I think will be interesting to those I engage with. Generally you’ll find a mix of demonstrations on statistical and machine learning topics, programming, and data processing and visualization. Most focus on application in R as that’s what I used to primarily program with, but you’ll find plenty of Python demonstrations as well. Be aware that some of the content is a bit dated, but even if the programming aspects are a bit off, the concepts should still be relevant.
R for cats · and cat lovers
This is an introduction to R. I promise this will be fun. Since you have never used a programming language before, or any language for that matter, you won’t be tainted by other programming languages with different ways of doing things. This is good - we can teach you the R way of doing things.
Prompt Like a Data Scientist: Auto Prompt Optimization and Testing with DSPy | Towards Data Science
Applying machine learning methodology to prompt building
animations.dev
Learn the theory and practice behind great animations with this interactive learning experience.
Programming Sites for Technical Writers
Today, I’ll share some programming courses with you which help you to learn basic coding if it’s required by your work.
Drinking from the Firehose: Learning Computer Graphics Techniques and Programming
Graphics researchers waiting in the water fountain line at SIGGRAPH Yellowstone. Computer graphics as a field is broad, deep, complex, and intimidating. More than half a century of rapid progress driven by academic research and industry practices underly it. Parts delve pretty far into physics, math, signal processing, systems programming (and more). And performance is always at a premium—so simple, straightforward techniques are often not possible, and high-level programming abstractions not usable.
Coeffects: Context-aware programming languages
Interactive essay that explains theory of coeffects and lets you type-check and run sample programs.
AI Learning Resources & Guides from Anthropic
Access comprehensive guides, tutorials, and best practices for working with Claude. Learn how to craft effective prompts and maximize AI interactions in your workflow.
trycua/acu
A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.
Coding Club: a positive peer-learning community
Free and accessible tutorials on data analysis, manipulation, visualisation and more.
Josh W. Comeau
Friendly tutorials for developers. Focus on React, CSS, Animation, and more!
Mote: An Interactive Ecosystem Simulation — Peter Whidden
Modular: The Claude C Compiler: What It Reveals About the Future of Software
Compilers occupy a special place in computer science. They're a canonical course in computer science education. Building one is a rite of passage. It forces you to confront how software actually works, by examining languages, abstractions, hardware, and the boundary between human intent and machine execution.
IBM's "Man & Computer" (1967)
Python Tutorial | Learn Python Programming Language - GeeksforGeeks
Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more.
The future of programming and computing
Trends and adjacent possibles for the future of how computers are used and programmed
SaaS Isn’t Dead. Sameness Is. - The Phoenix Architecture
Codifying a ChatGPT workflow into a malleable GUI
MercuryOS
Telepath's Sensemaking Computer Upends Personal Computing
Vendo · Your product, shaped to every customer
block/buzz