prb2387 prb2307

UPDATE: I have baked the ideas in this file inside a Python CLI tool called pyds-cli. Please find it here: https://github.com/ericmjl/pyds-cli

How to organize your Python data science project

Having done a number of data projects over the years, and having seen a number of them up on GitHub, I've come to see that there's a wide range in terms of how "readable" a project is. I'd like to share some practices that I have come to adopt in my projects, which I hope will bring some organization to your projects.

Disclaimer: I'm hoping nobody takes this to be "the definitive guide" to organizing a data project; rather, I hope you, the reader, find useful tips that you can adapt to your own projects.

Disclaimer 2: What I’m writing below is primarily geared towards Python language users. Some ideas may be transferable to other languages; others may not be so. Please feel free to remix whatever you see here!

	import pandas as pd
	import numpy as np
	import cv2, os
	import csv

	input_source = "/home/stephen/Desktop/me.MP4"
	cap = cv2.VideoCapture(input_source)
	frame_number = 0
	font, scale, colorText, thick = cv2.FONT_HERSHEY_SIMPLEX, .5, (234,234,234), 1
	size, color, thickness = 5, (255,255,255), 5