Nick Powell nmpowell

Software for scientists

Some things takes much less time and stress once you know the right tool. Below, there is a community edited list of software for scientists.

Text editors

in General purpose text/code editors. It may be better to have a good editor for everything, than different ones for different languages, scripts, notes.

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)

For Python Quants Bootcamp

This is the Gist the FPQ bootcamp in New York, 08.-11. May 2017 (http://fpq.io)

Notebooks & Code Files

Additional files (eg Jupyter Notebooks) are found under:

Be Careful with Table Driven Tests and `t.Parallel()`

We Gophers, love table-driven-tests, it makes our unittesting structured, and makes it easy to add different test cases with ease.

Let’s create our table driven test, for convenience, I chose to use t.Log as the test function. Notice that we don't have any assertion in this test, it is not needed to for the demonstration.

func TestTLog(t *testing.T) {
	t.Parallel()

	/*
	********************************************************************************
	Golang - Asterisk and Ampersand Cheatsheet
	********************************************************************************

	Also available at: https://play.golang.org/p/lNpnS9j1ma

	Allowed:
	--------
	p := Person{"Steve", 28} stores the value

	[user]
	name = David Winterbottom
	email = [email protected]

	[alias]

	# SHORT VERSIONS

	co = checkout
	ci = commit

	#!/bin/bash
	# file: ttfb.sh
	# curl command to check the time to first byte
	# usage
	# 1. ./ttfb.sh "https://google.com"
	# 2. seq 10 \| xargs -Iz ./ttfb.sh "https://google.com"

	curl -o /dev/null \
	-H 'Cache-Control: no-cache' \
	-s \

	from matplotlib import pyplot as plt
	import cv2

	img = cv2.imread('/Users/mustafa/test.jpg')
	gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

	plt.imshow(gray)
	plt.title('my picture')
	plt.show()