chalice VS turf

That looks similar to Chalice (also for Python)

https://github.com/aws/chalice

AWS Chalice

It’s not terraform but there’s a wonderful aws framework for lambda called Chalice.

I'm working with AWS Chalice. It's a Python framework that deploys to lambdas, though it has its share of quirks/issues.

Check out Chalice -- it's Flask-y by design but integrates natively with AWS's serverless stack.

I'm using pip 22.1.2 and according to this post, this issue should've already been solved. Anyone that help me with this? Thanks.

There's a framework similar to Flask that makes it easy called Chalice.

to measure distances and convert between our parameters I'm using TurfJS, for which binding is even more trivial:

Turf.js is an open-source geospatial analysis library that can process various location data, such as the center of gravity and distance calculations.

Isochrones are manually calculated using turf.js assuming 1.2m/s walking speed after the subway trip. These are simple buffers around each station/prior isochrone and do not take the street network into account.

Not to take away from you learning, which I think is awesome, I was wondering if you know about http://turfjs.org/ which provides a lot of simple modules … and is surprisingly hard to find. Their `distance` modules may be relevant in this case.

you can use client side libraries like Turfjs to do buffers https://github.com/Turfjs/turf/tree/master/packages/turf-buffer

Tools: custom Javascript (with heavy use of turf.js) for data processing and creating the 3D model, Blender, 3D printing, lost wax casting

I've integrated https://turfjs.org/ with mapbox before and it was pretty fun

References Amazon Location Service Turf.js MapLibre GL JS Leaflet OpenLayers Cesium Mapbox GL JS