This is part one of a short series of posts on writing a simple raytracer in Rust. I’ve never written one of these before, so it should be a learning experience all around.

Every line of code has some probability of having an undetected flaw that will be seen in production. Process can affect that probability, but it cannot make it zero. Large diffs contain many lines, and therefore have a high probability of breaking when given real data and real traffic.

Welcome to’s 7 week course, Practical Deep Learning For Coders, Part 1, taught by Jeremy Howard (Kaggle’s #1 competitor 2 years running, and founder of Enlitic). Learn how to build state of the art models without needing graduate-level math—but also without dumbing anything down. Oh and one other thing… it’s totally free!

Pharo is a pure object-oriented programming language and a powerful environment, focused on simplicity and immediate feedback (think IDE and OS rolled into one).

This article outlines the scale of that codebase and details Google's custom-built monolithic source repository and the reasons the model was chosen. Google uses a homegrown version-control system to host one large codebase visible to, and used by, most of the software developers in the company. This centralized system is the foundation of many of Google's developer workflows. Here, we provide background on the systems and workflows that make feasible managing and working productively with such a large repository. We explain Google's "trunk-based development" strategy and the support systems that structure workflow and keep Google's codebase healthy, including software for static analysis, code cleanup, and streamlined code review.

Our extensive use of Perl to build many of our internal services often comes as a surprise to many and we can understand why. Perl is a dinosaur among mainstream programming languages. It lacks the glamour that other, relatively younger languages have. There is also a common misconception in the programming world that modern software engineering practices cannot be followed with a language like Perl. In this post, we hope to debunk that myth. We want to give you a glimpse of the developer experience (DX) here at Semantics3 where we write a lot of Perl code but still manage to employ the latest engineering best-practices. We would like to highlight that we are able to do so with the help of a tool-chain written entirely in Perl.

GitHub is the go-to place to host your open source projects, that much is well known. A lot of companies also use their paid plans to get the ecosystem around GitHub for their own code. Why would you want to use anything else? We took the decision to move away from GitHub and in the end we benefitted hugely!

“We’re trying to be really agile, so we don’t waste time on design or documentation.”

“I have to ship this to production immediately, so I don’t have time to write tests!”

“We didn’t have time to automate everything, so we just deploy our code by hand.”

Gorilla is a web toolkit for the Go programming language. helps you manage and monitor your virtual machines, across different clouds, using any device that can access the web.

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