Spike: Investigate caching WebAssembly modules to reduce latency

[loiswells97]

Although the .whl files are cached between code runs, the fact that we need to reset pyodide between runs means that they need to be re-interpreted each time the code runs. This introduces some latency which we may be able to reduce if we cache using WebAssembly modules (see Slack thread for more details)

[create-issue-branch[bot]]

Branch issues/934-Cache_WebAssembly_modules_to_reduce_latency created!

[loiswells97]

Thoughts

• There is a noticeable delay of around 5 seconds at the start of each code run using sklearn as a (rather large) example, but this is just over a second for something like numpy (which perhaps we are more likely to use)
• It may be possible to cache the wasm files, but this thread suggests it's complicated and may not make enough to difference to be worth it