dfm

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

from __future__ import division, print_function

import flask

import urllib
import numpy as np
from PIL import Image

dfm

    # Unregularized.
    MT = M.T
    ivar = 1.0 / yerr ** 2
    mat = np.dot(MT, M * ivar[:, None])
    A = np.linalg.solve(mat, np.dot(MT, y * ivar))
    
    # Regularized.
    mat = np.dot(MT, M * ivar[:, None])
    mat[np.diag_indicies_from(mat)] += reg ** 2
    A = np.linalg.solve(mat, np.dot(MT, y * ivar))

dfm

# I'm still an ex-screen-user
set-option -g prefix C-a
unbind C-b
bind C-a send-prefix

# Relax!
set -sg escape-time 0
set -sg repeat-time 600

# Mouse

dfm

import os
import shlex
import pandas as pd
from subprocess import check_call, PIPE

fn = "epic.csv"
if not os.path.exists(fn):
    url = ("http://exoplanetarchive.ipac.caltech.edu/cgi-bin/nstedAPI/"
           "nph-nstedAPI?table=k2targets&select=*")
    cmd = "wget -O {0} {1}".format(fn, url)

dfm

{
 "metadata": {
  "name": "",
  "signature": "sha256:17a1bd88d191a1c3f6779897a9d7f9e95d4f0bfc0c3986bcc2a0116898a0a6ae"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [

dfm

{
 "metadata": {
  "name": "",
  "signature": "sha256:0014d028e56c23b04f99fe26a4b668fbb44236cd1cf0d2a9b400d5f7fd45299c"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [

dfm

dfm

dfm

dfm

K05192.01
K05954.01
K01925.01
K05950.01
K03371.01
K03474.01
K00284.04
K04548.01
K03460.01
K02484.01