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{ | |
"metadata": { | |
"name": "" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ |
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// Use Gists to store code you would like to remember later on | |
console.log(window); // log the "window" object to the console |
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import numpy as np | |
import pandas as pd | |
import statsmodels.api as sm | |
from scipy.stats import norm as N | |
n, k = 1000, 2 | |
x = np.random.random((n, k+1)) | |
x[:, 0] = 1 | |
b = np.ones((k+1, )) | |
e = np.random.normal(size=(n, )) |
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#!/usr/bin/python | |
import os, sys | |
args = sys.argv | |
if len(args) > 1: | |
inpath = args[1] | |
if len(args)==2: | |
outpath = inpath.replace('.pdf', '_handout.pdf') |
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.ipynb_checkpoints | |
*.pyc | |
*.swp |
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