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import httplib2
import os
import sys
import csv

from apiclient.discovery import build
from apiclient.errors import HttpError
from oauth2client.client import flow_from_clientsecrets
from oauth2client.file import Storage

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Depends. What kind of field are you in? Are your skills in demand in NYC right now? Do you know anyone else in your field in the city who you can ask?

I'm an Australian who has been living in NYC for over a year now, and I get asked this constantly. I usually answer the questions from the point-of-view of a Web Designer, which may or may not be useful to you, depending on your situation.

But here goes:

Americans, though they speak English are not like Australians

Even though you've watched them your whole life on TV and in the movies, you're still not going to arrive attuned to the nuances of the American workplace culture.

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wget https://golang.org/dl/go1.16.7.linux-amd64.tar.gz;
rm -rf /usr/local/go && tar -C /usr/local -xzf go1.16.7.linux-amd64.tar.gz;
export PATH=$PATH:/usr/local/go/bin;
export GOPATH=$HOME/go;
export PATH=$PATH:$GOROOT/bin:$GOPATH/bin;
go get github.com/fraugster/parquet-go/cmd/csv2parquet;

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#!/Usr/bin/env python
# -*- coding: utf-8 -*-

'''
Searches a graph and yields all the minimum spanning trees in order of increasing cost.
This could be used to solve minimum spanning trees with constraints by yielding trees until
we reach the first one which satisfies a constraint.
For example it could solve the degree constrained minimum spanning tree DCMST
'''

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import sys
import json
import csv


def main():
    input_json = sys.argv[1]
    output_csv_data = [['name', 'lastdate', 'desc', 'shorturl']]
    with open(input_json, mode='r') as ijson:
        data = json.load(ijson)

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Linear Programming Solver running in the browser?

So I wanted to see if I could get a solver running in the browser.

Why you might ask? Well its pretty typical to need to deploy a back end for a webapp or even to have a specific install on your OS.

This makes things clunky if we wanted to say:

1. Visualize solutions in realtime using some js libs on the client side
2. Solve models on the client side of a web app

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# Some quick snippets for points to lines

address_df = pd.DataFrame([[0, Point([c for c in h3.cell_to_latlng(h3_8)[::-1]])]], columns=['id', 'geometry'])
address_gdf = gpd.GeoDataFrame(address_df, geometry="geometry", crs="epsg:4326")

gdf = gpd.read_file(
    "./data/all_the_data.fgb",
    engine="pyogrio", bbox=location_box)
gdf = gdf.to_crs('epsg:3310') # https://epsg.io/3310