Anton Kratz antonkratz

There is a sensitive document. Credit card statements. Reimbursement.

I want to redact (hide) parts of the document.

Create a pitch black highlighter pen in Okular. Highlight the relevant text in black.
The text is still there and can easily be seen, for example by highlighting (in the sense of Ctrl-A) the entire document.
To flatten = actually remove the text beneath the black highlights:

pdf2ps in.pdf - | ps2pdf - out.pdf

Google Hacks: Gmail, Docs

You can bookmark individual emails. The bookmarks are persistent, apparently indefinitely (works for me with bookmarks made several years ago).

conda adds an uncalled for (base) before my PS1 prompt. Most solutions suggest to edit the .condarc file. This did not work for me. Instead:

conda config --set auto_activate_base False

file1: A list of keys, one key one line

file2: A table, the keys are in column 1

what this does: pull out the lines from the table which match a key from a list

time awk -F'      ' 'NR==FNR{c[$1]++;next};c[$1] > 0' file1 file2 > output.txt

	# When the network is down
	sudo ip link set dev enp0s1 down
	sudo ip link set dev enp0s1 up

	# When the clock gets out of sync
	sudo service ntp stop
	sudo ntpd -gq
	sudo service ntp start

	#' symlog transformation
	#'
	#' `symlog_trans()` transforms data using `log(x)` for `abs(x) > thr`, where
	#' `thr` is a tuneable threshold, but leaves the data linear for `abs(x) < thr`.
	#' (credit for base code to https://stackoverflow.com/users/1320535/julius-vainora)
	#'
	#'
	#' @param base base of logarithm
	#' @param thr numeric threshold for transitioning from log to linear
	#' @param scale numeric scaling factor for data

	x = c(0.8846, 1.1554, 0.9317, 0.9703, 0.9053, 0.9454, 1.0146, 0.9012, 0.9055, 1.3307)
	y = c(0.9828, 1.0329, 0.931, 1.3794, 0.9273, 0.9605, 1.0259, 0.9542, 0.9717, 0.9357)
	ShortSci = c("MotAlb", "PruMod", "EriRub", "LusMeg", "PhoOch", "PhoPho",
	"SaxRub", "TurMer", "TurPil", "TurPhi")
	df <- data.frame(x = x, y = y, z = ShortSci)

	library(ggplot2)
	library(ggrepel)
	p1 <- ggplot(data = df, aes(x = x, y = y)) + theme_bw() +
	geom_text_repel(aes(label = z),

	import pubchempy as pcp
	import pandas as pd
	import numpy as np
	from collections import OrderedDict

	drugs_df = pd.read_csv('oli_drugs.csv')

	def queryPubChem(compounds,batchlist = None,match='name'):
	"""
	This function queries the PubChem database to retrieve both the isomeric smile and CID of a compound.

	Select All
	`Object > Clipping mask > Release`
	`Object > Path > Clean up`

	Clipping masks. Deleting an object deletes random objects scattered throughout b.c they are connected thru the clipping mask. I do not want this.