January
- SF Jan 3-5
February
- FOSDEM / cfgmgmtcamp
- Santa Clara Feb 22-24
March
- IBM InterConnect
NOTE: STILL WORK IN PROGRESS | |
Based off: | |
- https://wiki.archlinux.org/index.php/Chrome_OS_devices/Crostini | |
- https://www.reddit.com/r/Crostini/wiki/howto/run-fedora-linux | |
- https://chromium.googlesource.com/chromiumos/docs/+/HEAD/containers_and_vms.md | |
Instead of Arch image, install "gentoo/current" | |
- Got an error message about how run_container.sh was deprecated |
January
February
March
#!/bin/bash | |
VERSION=0.3 | |
help() { | |
echo "${0##*/} v${VERSION}" | |
echo | |
echo "${0##*/} makes expenses easier by handling receipt->PDF generation." | |
echo | |
echo "It creates an annotated PDF based on an Excel spreadsheet containing" |
#!/bin/bash | |
for file in */*xls; do | |
echo ${file#*/} | |
in2csv --sheet 'Expense Report' $file \ | |
| awk -F, '{if ($5 == "Mileage") {printf "%d\t%.2f\t%s (%.2f mi @ $0.56/mi)\n", $1, $6, $4, $6/0.56 }}' | |
echo | |
done |
When I travel to San Francisco or similar warm climates, non-midwesterners have a hard time visualizing what a cold winter day in Minnesota feels like, or how we perceive and react to one. It turns out that there is a good metaphor for summing up how a Minnesotan feels about a given temperature: how we behave when we're inside and forget something in the car. Here's how we handle that situation in various temperatures. Units below are degrees Fahrenheit.
Run out to the car and calmly grab the thing in whatever we happen to be wearing.
Run out to the car and grab the thing in whatever we happen to be wearing, but move quickly because it's kind of cold.
#!/usr/bin/env python | |
import pandas as pd, numpy as np | |
d = pd.read_table('input.txt', skiprows=0, header=None, parse_dates=True, index_col=0) | |
d['values'] = np.ones(len(d)) | |
e = d.resample('w', how='sum') | |
f = e.fillna(value=0) | |
f.to_csv('output_weekly.txt', sep='\t') | |
#import matplotlib as mpl |
Not all firms, and not all analysts, are looking for the same thing. But almost everyone would prefer a short briefing that gets right to the point and allows for discussion time. Don't be afraid to end early!
Examples:
Source,Target,SourceLabel,TargetLabel,Weight,Type | |
n1,n2,"age","compensation",0.217,Undirected | |
n1,n3,"age","job title",0.209,Undirected | |
n1,n4,"age","years of programming experience",0.466,Undirected | |
n4,n2,"years of programming experience","compensation",0.303,Undirected | |
n4,n3,"years of programming experience","job title",0.230,Undirected | |
n5,n3,"industry","job title",0.206,Undirected | |
n5,n6,"industry","number of employees at company",0.178,Undirected | |
n6,n7,"number of employees at company","size of team",0.255,Undirected | |
n6,n5,"number of employees at company","industry",0.178,Undirected |