Matt Nicklay econpy
econpy
/ MetaParser.py
Created
April 24, 2014 08:38
MetaParser.py file for Presidio that correctly calculates the date used by the Bookworm GUI (number of days since 0000-01-01, including leap years).
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| from datetime import date, datetime | |
| import json | |
| fields_to_derive = [] | |
| def DaysSinceZero(dateobj): | |
| numdays = 0 | |
| for yr in range(dateobj.year): |
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| { | |
| "always_show_minimap_viewport": true, | |
| "bold_folder_labels": true, | |
| "caret_style": "solid", | |
| "color_scheme": "Packages/Theme - Flatland/Flatland Dark.tmTheme", | |
| "draw_minimap_border": true, | |
| "enable_telemetry": false, | |
| "ensure_newline_at_eof_on_save": true, | |
| "flatland_sidebar_tree_xsmall": true, | |
| "flatland_square_tabs": true, |
econpy
/ Search Engine HHI
Last active
December 16, 2015 11:29
Analysis of search engine market shares across countries and time.
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| { | |
| "metadata": { | |
| "name": "hhi" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |
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| { | |
| "metadata": { | |
| "name": "Logistic Regression" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |
econpy
/ IPython Notebook: Google Domestic Trends OLS & Autocorrelation
Last active
December 14, 2015 15:18
Google Domestic Trends: Using automotive buyer index to predict automotive financing index.
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| { | |
| "metadata": { | |
| "name": "Automotive Google Trends" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |