Slide with text: “Rust teams at Google are as productive as ones using Go, and more than twice as productive as teams using C++.”
In small print it says the data is collected over 2022 and 2023.
Slide with text: “Rust teams at Google are as productive as ones using Go, and more than twice as productive as teams using C++.”
In small print it says the data is collected over 2022 and 2023.
It sort of has nil. While a type can be
nullorundefinedwhen evaluated,nilis used in many of the JS libraries and frameworks to mean something that is eithernullorundefined. So you’ll see functions likefunction isNil(value) { return value == null || value == undefined }and they’ll sometimes often confuse things even more be actually defining anilvalue that’s just an alias fornullwhich is just pointlessly confusing.As an aside, basically every language under the sun has
NaNas it’s part of the IEEE floating point standard. JavaScript just confuses the situation more than most because it’s weakly typed so it doesn’t differentiate between integers, floats, or some other type like an array, string, or object. Hence anything in JS can be a NaN even though it really only has meaning for a floating point value.function isNil(value)We instead have
function isNullOrUndefined(value) ...instead, but it does the same thing.It’s especially lame since you can’t just do
if (!value) ...since that includes 0 (but not[]or{}, which Python considers falsey). It’s remarkably inconsistent…Yup, but you can use
NotNanin Rust, just like yourNonNullexample.And yeah, it’s weird that JavaScript doesn’t have an integer type, everything is just floating point all the way down. I actually did some bitwise logic with JavaScript (wrote a tar implementation for the web), and you get into weird situations where you need to
>>> 0in order to get an unsigned 32-bit integer (e.g.(1 << 31) >>> 0). Those hacks really shouldn’t be necessary…Because it’s floating point it also causes some REALLY strange bounds on integers. The maximum sized int you can safely store in JS is a 53 bit integer. That caused us all kinds of headaches when we tried to serialize a 64 bit integer and it started producing garbage results for very large values.