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@indigoblueraspberry
indigoblueraspberry / kill-adobe-daemons.sh
Created May 17, 2021 13:40 — forked from jivanpal/kill-adobe-daemons.sh
Stop Adobe Creative Cloud daemons (background processes) in their tracks
#!/bin/bash
if [ "$1" = "-s" ] || [ "$1" = "--show" ]; then
show=true
else
show=false
fi
if $show || [ "$1" = "-v" ] || [ "$1" = "--verbose" ]; then
verbose=true

Problem

I have two Github accounts: oanhnn (personal) and superman (for work). I want to use both accounts on same computer (without typing password everytime, when doing git push or pull).

Solution

Use ssh keys and define host aliases in ssh config file (each alias for an account).

How to?

  1. Generate ssh key pairs for accounts and add them to GitHub accounts.
@indigoblueraspberry
indigoblueraspberry / r-to-python-data-wrangling-basics.md
Created April 24, 2020 14:45 — forked from conormm/r-to-python-data-wrangling-basics.md
R to Python: Data wrangling with dplyr and pandas

R to python data wrangling snippets

The dplyr package in R makes data wrangling significantly easier. The beauty of dplyr is that, by design, the options available are limited. Specifically, a set of key verbs form the core of the package. Using these verbs you can solve a wide range of data problems effectively in a shorter timeframe. Whilse transitioning to Python I have greatly missed the ease with which I can think through and solve problems using dplyr in R. The purpose of this document is to demonstrate how to execute the key dplyr verbs when manipulating data using Python (with the pandas package).

dplyr is organised around six key verbs: