Bede Constantinides bede

Learn Go in ~5mins

This is inspired by A half-hour to learn Rust and Zig in 30 minutes.

Basics

Your first Go program as a classical "Hello World" is pretty simple:

First we create a workspace for our project:

Dual-boot Mac OS X (FileVault2) and Ubuntu (OpenZFS/LUKS)

This procedure results in a computer that runs both Mac OS X and Ubuntu in a dual-boot configuration, each operating system using full (whole) disk encryption, and with the Ubuntu root file system stored on a ZFS pool encrypted using LUKS. The specific hardware and software versions used to document this procedure are:

MacBookPro8,2

OBSOLETE

This entire guide is based on an old version of Homebrew/Node and no longer applies. It was only ever intended to fix a specific error message which has since been fixed. I've kept it here for historical purposes, but it should no longer be used. Homebrew maintainers have fixed things and the options mentioned don't exist and won't work.

I still believe it is better to manually install npm separately since having a generic package manager maintain another package manager is a bad idea, but the instructions below don't explain how to do that.

Fixing npm On Mac OS X for Homebrew Users

Installing node through Homebrew can cause problems with npm for globally installed packages. To fix it quickly, use the solution below. An explanation is also included at the end of this document.

	# See official docs at https://dash.plotly.com
	# pip install dash pandas

	from dash import Dash, dcc, html, Input, Output
	import plotly.express as px

	import pandas as pd

	df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv')

 import re
 def replace(string, substitutions):
     substrings = sorted(substitutions, key=len, reverse=True)
     regex = re.compile('|'.join(map(re.escape, substrings)))
     return regex.sub(lambda match: substitutions[match.group(0)], string)

	# functions for plotting garden of forking data plots

	library(rethinking)

	polar2screen <- function( dist, origin, theta ) {
	## takes dist, angle and origin and returns x and y of destination point
	vx <- cos(theta) * dist;
	vy <- sin(theta) * dist;
	c( origin[1]+vx , origin[2]+vy );
	}

	import numpy as np

	def array_for_sliding_window(x, wshape):
	"""Build a sliding-window representation of x.

	The last dimension(s) of the output array contain the data of
	the specific window. The number of dimensions in the output is
	twice that of the input.

	Parameters

	#!/usr/bin/env python3

	import io
	import sys
	import time
	import datetime
	import requests

	from Bio import SeqIO

	#
	# This script calculates the depth of coverage and breadth of coverage for a given bam.
	# Outputs a dictionary containing the contig/chromosome names and the depth and breadth of coverage for each
	# and for the entire genome.
	#
	# If you optionally specify the name of the mitochondrial chromosome (e.g. mtDNA, chrM, chrMT)
	# The script will also generate breadth and depth of coverage for the nuclear genome AND the ratio
	# of mtDNA:nuclearDNA; which can act as a proxy in some cases for mitochondrial count within an individual.
	#
	# Author: Daniel E. Cook