Moses Odeke Afrawles MusahO

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

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!

Go - The Ultimate Folder Structure

Organizing your Go (Golang) project's folder structure can help improve code readability, maintainability, and scalability. While there is no one-size-fits-all structure, here's a common folder structure for a Go project:

project-root/
    ├── cmd/
    │   ├── your-app-name/
    │   │   ├── main.go         # Application entry point
    │   │   └── ...             # Other application-specific files

	from selenium import webdriver
	from selenium.webdriver.common.keys import Keys
	from bs4 import BeautifulSoup
	import re
	import pandas as pd
	from tabulate import tabulate
	import os

	#launch url
	url = "http://kanview.ks.gov/PayRates/PayRates_Agency.aspx"