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Comparing: array method chaining, generator delegations, and transducing
Comparing: array method chaining, generator delegations, and transducing
I'm writing this quick post to respond to a recent twitter conversation where claims were made about the merits (or lack thereof) of transducers, as they relate to composing list comprehensions (map, filter).
For comparison sake throughout the rest of my post, below you'll find three (actually four!) implementations of a simple list operation demo:
describing my motivations for designing TypL instead of using TS/Flow
I am often asked why I don't like a tool like TS (or Flow), and by implication, if I don't like it, the assumption is that I don't want any type aware tooling. That's not true, though.
I have many ideas for what I think type-aware tooling in JS could/should be, and they just happen to diverge significantly enough from TS/Flow that I can't bend into pretzels to fit into that mold.
Instead, I've worked on designing a tool I call TypL that I think addresses my concerns. It's in progress.
Here's my main list of motivations for designing TypL instead of TS/Flow:
I want a system that has both compile-time checking AND run-time checking. TypL's design is to compile away the stuff that it checks at compile time and can verify, and leave in the stuff that it knows needs run-time checking. That way, you don't have to write different sorts of type checking for compile-time and run-time. You get both from one set of typing annotation. It doesn't really seem tha
This is definitely not the first time I've written about this topic, but I haven't written formally about it in quite awhile. So I want to revisit why I think technical-position interviewing is so poorly designed, and lay out what I think would be a better process.
I'm just one guy, with a bunch of strong opinions and a bunch of flaws. So take these suggestions with a grain of salt. I'm sure there's a lot of talented, passionate folks with other thoughts, and some are probably a lot more interesting and useful than my own.
But at the same time, I hope you'll set aside the assumptions and status quo of how interviewing is always done. Just because you were hired a certain way, and even if you liked it, doesn't mean that it's a good interview process to repeat.
If you're happy with the way technical interviewing currently works at your company, fine. Just stop, don't read any further. I'm not going to spend any effort trying to convince you otherwise.
Memoization is a somewhat fraught topic in the React world, meaning that it's easy to go wrong with it, for example, by [making memo() do nothing][memo-pitfall] by passing in children to a component. The general advice is to avoid memoization until the profiler tells you to optimize, but not all use cases are general, and even in the general use case you can find tricky nuances.
Discussing this topic requires some groundwork about the technical terms, and I'm placing these in once place so that it's easy to skim and skip over:
Memoization means caching the output based on the input; in the case of functions, it means caching the return value based on the arguments.
Values and references are unfortunately overloaded terms that can refer to the low-level implementation details of assignments in a language like C++, for example, or to memory
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I've been deceiving you all. I had you believe that Svelte was a UI framework — unlike React and Vue etc, because it shifts work out of the client and into the compiler, but a framework nonetheless.
But that's not exactly accurate. In my defense, I didn't realise it myself until very recently. But with Svelte 3 around the corner, it's time to come clean about what Svelte really is.
Svelte is a language.
Specifically, Svelte is an attempt to answer a question that many people have asked, and a few have answered: what would it look like if we had a language for describing reactive user interfaces?
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