Chandler

import igl
import numpy as np
import polyscope as ps
import scipy
from sklearn.preprocessing import normalize
import robust_laplacian 
from scipy.sparse import linalg as sla

path = "scan_007.obj"

Chandler

import matplotlib.pyplot as plt 
import csv
import datetime
import pandas as pd
from matplotlib.colors import ListedColormap

# from lyft data download
ebikes_path = "lyft_bike_scooters.csv"
cars_path = "passenger_rides.csv"
# from strava data download

Chandler

import igl
import numpy as np
import polyscope as ps
import scipy

# https://www.cs.cmu.edu/~kmcrane/Projects/ModelRepository/spot.zip
path = "/Users/cbabraham/data/mesh/spot/spot_triangulated.obj"
verts,faces = igl.read_triangle_mesh(path)

ps.init()

Chandler

# 3D Surface normals with JAX

import matplotlib.pyplot as plt
from jax import vmap, jacfwd, np

# Simple Torus surface parameterization f(u,v) -> (x,y,z)
# The multivariable analytic function to be differentiated
def _f(uv):
	u,v = uv
	x = (8 + 2 * np.cos(v)) * np.cos(u)

Chandler

from astroquery.jplhorizons import Horizons

pluto        = 999
jupiter      = 599
mu69         = 486958
new_horizons = -98

paths = []
for body_name in [jupiter, pluto, new_horizons, mu69]:
    obj = \

Chandler

# pip install requests
import requests
import json
 
url_template = 'https://api.foursquare.com/v2/users/self/checkins?limit=250&oauth_token={}&v=20131026&offset={}'
 
# to find your oauth token you need to visit the swarm webapp and inspect your network requests, it will be attached
# to XHR requests once you scroll and it starts fetching timeline activity.
# https://www.swarmapp.com/activity
oauth_token = ""

Chandler

;
; Single target image series plan, created by chandler abraham on Wed, 28 Mar 2018 18:43:08 UTC
; Generated by iTelescope.Net Offline Plan Generator
;
#tiff
#count 2,2,2,3
#interval 200,200,200,200
#binning 1,1,1,1
#filter Red,Green,Blue,Luminance
m83	13.6167	-29.867

Chandler

import gpxpy

def load_gpx_file(path):
    gpx = gpxpy.parse(open(path, 'r'))
    points = []
    for track in gpx.tracks:
        for segment in track.segments:
            for point in segment.points:
                points.append([point.longitude, point.latitude])
    return points

Chandler

# Echo client program
import socket

HOST = '127.0.0.1'    # The remote host
PORT = 50007              # The same port as used by the server
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((HOST, PORT))
s.send('Hello, world')
data = s.recv(1024)
s.close()

Chandler

import numpy as np
import rasterio

original = rasterio.open("original.tif").read()

# cmd:
#  convert -compress LZW -type TrueColor original.tif lossless.tif
lossless = rasterio.open("lossless.tif").read()

# cmd: