Charles Martin cpmpercussion

This is a plugin meant for Jekyll.

Example use:

Easily embed a YouTube video. Just drop this file in your _plugins directory.

{% youtube oHg5SJYRHA0 %}

This can reduce files to ~15% of their size (2.3M to 345K, in one case) with no obvious degradation of quality.

ghostscript -sDEVICE=pdfwrite -dCompatibilityLevel=1.4 -dPDFSETTINGS=/printer -dNOPAUSE -dQUIET -dBATCH -sOutputFile=output.pdf input.pdf

Other options for PDFSETTINGS:

/screen selects low-resolution output similar to the Acrobat Distiller "Screen Optimized" setting.
/ebook selects medium-resolution output similar to the Acrobat Distiller "eBook" setting.
/printer selects output similar to the Acrobat Distiller "Print Optimized" setting.
/prepress selects output similar to Acrobat Distiller "Prepress Optimized" setting.

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

Installing the NVIDIA driver, CUDA and cuDNN on Linux (Ubuntu 20.04)

This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software

NVIDIA graphics card driver (v450.57)
CUDA (v11.0.2)
cuDNN (v8.0.2.39)

on an Ubuntu Linux system, in particular Ubuntu 20.04.

	#!/usr/bin/env ruby
	#
	# This script is a wrapper around pandoc that uses pandoc's
	# builtin citeproc support to generate a markdown bibliography
	# from bibtex.
	#
	# Inspired by Jacob Barney's [bib2mkd][] script.
	#
	# [bib2mkd]: http://jmbarney.dyndns.org/?/linux/bib2mkd/
	#

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

	# Python script to find the largest files in a git repository.
	# The general method is based on the script in this blog post:
	# http://stubbisms.wordpress.com/2009/07/10/git-script-to-show-largest-pack-objects-and-trim-your-waist-line/
	#
	# The above script worked for me, but was very slow on my 11GB repository. This version has a bunch
	# of changes to speed things up to a more reasonable time. It takes less than a minute on repos with 250K objects.
	#

	# coding: utf-8

	require 'rubygems'
	require 'hpricot'
	require 'nokogiri'
	require 'fileutils'
	require 'safe_yaml'
	require 'time'
	require 'uri'
	require 'open-uri'

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)

	# VERY IMPORTANT! After each kernel update or dkms rebuild the modules must be signed again with the script
	# ~/.ssl/sign-all-modules.sh

	# Place all files in ~/.ssl folder
	mkdir ~/.ssl
	cd ~/.ssl

	# Generate custom keys with openssl
	openssl req -new -x509 -newkey rsa:2048 -keyout MOK.priv -outform DER -out MOK.der -nodes -subj "/CN=Owner/"

	#!/usr/bin/env python3

	'''
	This script exctracts training variables from all logs from
	tensorflow event files ("event*"), writes them to Pandas
	and finally stores in long-format to a CSV-file including
	all (readable) runs of the logging directory.

	The magic "5" infers there are only the following v.tags:
	[lr, loss, acc, val_loss, val_acc]