Roll your own iPython Notebook server with Amazon Web Services (EC2) using their Free Tier.
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-- | |
-- This is SQL query to extract AddressBook info from respective sqlite3 file from iOS backup. | |
-- It has been tested only on my own backup, so, if anything is wrong, fork, edit, and stuff. | |
-- | |
-- # parse-manifest.py from http://stackoverflow.com/questions/3085153/how-to-parse-the-manifest-mbdb-file-in-an-ios-4-0-itunes-backup | |
-- | |
-- $ python ../parse-manifest.py | grep AddressBook.sqlitedb | |
-- -rw-r--r-- 000001f5 000001f5 1654784 1312812502 1312812502 1287387943 (31bb7ba8914766d4ba40d6dfb6113c8b614be442)HomeDomain::Library/AddressBook/AddressBook.sqlitedb | |
-- | |
-- $ sqlite3 31bb7ba8914766d4ba40d6dfb6113c8b614be442 |
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#!/bin/bash | |
# Backs up the OpenShift PostgreSQL database for this application | |
# by Skye Book <[email protected]> | |
NOW="$(date +"%Y-%m-%d")" | |
FILENAME="$OPENSHIFT_DATA_DIR/$OPENSHIFT_APP_NAME.$NOW.backup.sql.gz" | |
pg_dump $OPENSHIFT_APP_NAME | gzip > $FILENAME |
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var libs = {}; | |
function getLib(lib){ | |
if (!libs[lib]){ | |
$.getScript(lib, function() { | |
libs[lib] = 1; | |
}); | |
} | |
} |
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https://altiscale.zendesk.com/hc/en-us/articles/202627136-Spark-Shell-Examples | |
http://stackoverflow.com/questions/25362942/how-to-parsing-csv-or-json-file-with-apache-spark | |
http://stackoverflow.com/questions/22500701/joining-two-hdfs-files-in-in-spark |
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import socket | |
socket.gethostbyname(socket.gethostname()) |
This is part of a series of examples that describe the basic operation of the D3.js force layout. Eventually they may end up in a blog post that wraps everything together. If you missed the beginning of the series, here's a link to first example.
Earlier examples looked at the operation of force layout from a (very) high level. This example begins examining the important properties of the force layout in more detail.
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{ | |
"lines.linewidth": 2.0, | |
"examples.download": true, | |
"patch.linewidth": 0.5, | |
"legend.fancybox": true, | |
"axes.color_cycle": [ | |
"#30a2da", | |
"#fc4f30", | |
"#e5ae38", | |
"#6d904f", |
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from pylab import * | |
from scipy.stats import * | |
num_adults = 227e6 | |
basic_income = 7.25*40*50 | |
labor_force = 154e6 | |
disabled_adults = 21e6 | |
current_wealth_transfers = 3369e9 | |
def jk_rowling(num_non_workers): |