| struct BST<K: Ord + Clone, V: Ord + Clone> { | |
| key: Option<K>, | |
| value: Option<V>, | |
| left: Option<Box<BST<K, V>>>, | |
| right: Option<Box<BST<K, V>>>, | |
| } | |
| impl<K: Ord + Clone, V: Ord + Clone> BST<K, V> { | |
| fn init() -> Box<BST<K, V>> { | |
| return Box::new(BST::<K, V> { |
In this channel I introduce Rust for people who know C++ already. The videos are supposed to be short and cover only a single topic. Each video comes with a github gist, which contains all the code and commands for copy/paste, such that you can easily try out things. Furthermore, there are links to the excellent Rust documentation.
This is still work in progress. As you can see in the table below,
You can take the same source code package that Ubuntu uses to build jq, compile it again, and realize 90% better performance.
I use jq for processing GeoJSON files and other open data offered in JSON format. Today I am working with a 500MB GeoJSON file that contains the Alameda County Assessor's parcel map. I want to run a query that prints the city for every parcel worth more than a threshold amount. The program is
