That is really interesting! I never had an ant farm, and I'm glad I didn't given what you've said.
Are ants similar to bees in that there's one egg-laying "queen" that you have to gather, or can you just gather a collection of individuals from a colony?
Your kid probably already knows about this, but have him check out the YouTuber AntsCanada. I'm not particularly into ants but I find his videos fascinating.
Is there not an autoformatter available? We use linting as part of our Python workflow and it works pretty well along with black. There's really not much linting work: just write your code, run black, and it's good to go.
Due to the physical architecture of CPUs/etc., data structures that have "worse" asymptotic performance are often quite a bit faster than those with "better" performance. For example, iterating through a small array to find an item and test for existence is often quite a bit faster than using a hash set for the same operation.
Sure, so now instead of just having a source control remote, you’re now looking after a publicly accessible box in the cloud with all the security headaches that brings. Plus you’ve got to manage credentials essentially manually, make sure people have the right access permissions to repos, look after backups, etc.
I worked at a company that started out with a setup like this for the dev team. It felt like a massive burden was lifted when we moved to Github Enterprise. We weren’t using the project management features at all, just the source code hosting stuff.
I've studied there for an MSc in Computing. It was good. The classes are a bit business-schooly but I got some good support from tutors. Obviously it depends on the individual tutor--the one for my project module wasn't as clear and supportive--but some are really fantastic.
I'm doing a masters in Computing with them now. I'm enjoying it quite a lot, and it is definitely rigorous (though more on the management side rather than the technical side).
There's definitely a different style of development, in my experience. After a few beers or when very sleep-deprived, I find myself avoiding "analysis paralysis" and just getting something written, even if it's not super elegant. There can definitely be a benefit to doing that, though I wouldn't recommend slamming shots at 9am before the workday starts!
Astrology and machine learning just seem so different. One is a poor attempt at prediction using dubious, shoddy, poorly understood methods that generally amount either to general wooly vagueries or completely wrong conclusions that are no better than random chance, and the other deals with planets.
I almost always skip the intro of books like this. I didn't skip this one. The Dispossessed and The Left Hand of Darkness are two of my favorite books of all time.
How is the tooling these days? I played with .NET Core a while ago (before the move away from project.json and just after the move to the dotnet command line tool rather than dnx/dnvm/etc.). I found the documentation for the tooling to be confusing, sparse, and often contradictory. Have things improved? How much manual XML munging is required with the new csproj format, assuming one isn't using Visual Studio and is developing on Mac/Linux?
.NET has both nonblocking evented IO and standard blocking IO in the stdlib. Most modern libraries use asynchronous IO, however lots of legacy applications still use blocking calls, making them unsuitable to run in the thread pool.
There's a much more immediately practical reason to keep it in-firewall as well: if the utility company accidentally cuts a fiber line outside my house, I don't want to be suddenly unable to turn off my hallway light.
We used it a lot for full automation tests for the UI. It's nice being able to interface with a full-featured browser that can run javascript, etc. And take screenshots when things go wrong.
I've recently started working in the big data space and it definitely seems like the primary use case for Hadoop these days is HDFS. Spark seems to have entirely subsumed Hadoop MapReduce for most batch processing workloads.
I thought the AGPL only applied to modifications of the AGPL'd software? E.g. you'd have to open source any modifications of the AGPL service you make.
I see what you're saying between Swift, Go, and Rust, but I'm not sure C# belongs in the same category. There are orders of magnitude more real-life lines of code implemented in C# than the other three combined. It's much more comparable to Java.
I really want to use it as I much prefer Linux as a hosting platform over Windows, but I really enjoy C# and F#. When I last looked, however, the tooling just wasn't there. I found documentation still referencing the outdated dnx command as opposed to dotnet, and building something as simple as a console application required quite a bit of boilerplate project.json. I haven't looked at it since, but I hope the move back to csproj will simplify things a bit. I'd really like to see the dev experience ironed out a bit more as it's quite an exciting project.
I think this is applying a "car insurance model" (sorry in advance for the car analogy) to healthcare. Ignore third-party insurance for the moment as it's not really applicable to health. You don't generally make an insurance claim for something like an oil change, 30/60/90k mile checkup, or something like that. On the other hand, if a tree fell on your car and smashed the engine, that's when insurance kicks in: for the catastrophes.
Doesn't Bash (or any Unix shell) fail to fit your definition, then? Bash contains an interpreter for a language that, while lightweight, is still a separate interpreted language. In particular commands like cd can't be executed as separate programs.