dcalacci
/ pset 1.ipynb
Created
October 5, 2016 18:25
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dcalacci
/ pset 1.ipynb
Created
October 5, 2016 18:59
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| ## Authors: Dan Calacci | |
| ## Adapted from Natashe Jaque's NN code for PML '17 | |
| ## intended to be used with a larger framework for deep learning | |
| import tensorflow as tf | |
| import numpy as np | |
| import math | |
| import json | |
| import matplotlib.pyplot as plt |
dcalacci
/ 150 Chestnut.ipynb
Created
April 7, 2017 05:33
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| // t.prefs_.set('color-palette-overrides',["#121418", "#c94234", "#85c54c", "#f5ae2e", "#1398b9", "#d0633d", "#509552", "#e5c6aa", "#675f54", "#ff645a", "#98e036", "#e0d561", "#5fdaff", "#ff9269", "#84f088", "#f6f7ec"]); | |
| t.prefs_.set('color-palette-overrides', ["#2e2e2e", "#F4e2d9", "#8cd1b9", "#f4e2d9", | |
| "#8ca4d1", "#ff9191", "#8cd1b9", "#C8a2a1", | |
| "#f4e2d9", "#ff9191", | |
| "#8cd1b9", "#8cd1b9", | |
| "#f8cac8", "#f8cac8", | |
| "#8ca4d1", "#8ca4d1", | |
| "#f9a47f", "#f9a47f", | |
| "#8cd1b9", "#8cd1b9", |
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| // t.prefs_.set('color-palette-overrides',["#121418", "#c94234", "#85c54c", "#f5ae2e", "#1398b9", "#d0633d", "#509552", "#e5c6aa", "#675f54", "#ff645a", "#98e036", "#e0d561", "#5fdaff", "#ff9269", "#84f088", "#f6f7ec"]); | |
| t.prefs_.set('color-palette-overrides', ["#424242","#F4e2d9", "#8cd1b9", "#f4e2d9", | |
| "#8ca4d1", "#ff9191", "#8cd1b9", "#C8a2a1", | |
| "#f4e2d9", | |
| "#ff9191", | |
| "#8cd1b9", "#8cd1b9", | |
| "#f8cac8", "#f8cac8", | |
| "#8ca4d1", "#8ca4d1", | |
| "#f9a47f", "#f9a47f", |
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| // t.prefs_.set('color-palette-overrides',["#121418", "#c94234", "#85c54c", "#f5ae2e", "#1398b9", "#d0633d", "#509552", "#e5c6aa", "#675f54", "#ff645a", "#98e036", "#e0d561", "#5fdaff", "#ff9269", "#84f088", "#f6f7ec"]); | |
| t.prefs_.set('color-palette-overrides', ["#424242","#F4e2d9", "#8cd1b9", "#f4e2d9", | |
| "#8ca4d1", "#ff9191", "#8cd1b9", "#C8a2a1", | |
| "#f4e2d9", | |
| "#ff9191", | |
| "#8cd1b9", "#8cd1b9", | |
| "#f8cac8", "#f8cac8", | |
| "#8ca4d1", "#8ca4d1", | |
| "#f9a47f", "#f9a47f", |
dcalacci
/ covid-mobility-sir.R
Last active
May 7, 2020 20:47
contagion modeling with mobility O/D matrices
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| library(tidyverse) | |
| library(data.table) | |
| library(glue) | |
| library(parallel) | |
| library(pbmcapply) | |
| here <- here::here | |
| OD <- read_csv(here("output/OD.csv")) | |
| OD.norm <- t(t(OD) / colSums(OD)) | |
| pop <- read_csv(here("output/pop.csv"), col_types="nc") |
dcalacci
/ get-bos-incident-reports.py
Last active
May 14, 2020 02:12
Daily script to pull boston incident reports
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| from bs4 import BeautifulSoup | |
| import time | |
| import os | |
| import requests | |
| import urllib | |
| f = urllib.request.urlopen('https://data.boston.gov/dataset/crime-incident-reports-august-2015-to-date-source-new-system') | |
| soup = BeautifulSoup(f.fp) | |
| # finds all the "primary" buttons on the page -- these are those blue ones -- |