Move or Copy Environment in Python

It’s likely that at some point in you data analysis or research career, you will have to either move or copy your current working/virtual environment in Python (in Anaconda or any other platform) to a new location (e.

Task Scheduler with Python and Anaconda environment

Frequently, we as researchers would like to expedite our work process with programs when we have repeated tasks. There is an easy way for you to do this with Python on your Windows computer.

use dplyr in Python - siuba library

Use siuba library in Python to preserve all your skills from dplyr package in R pip install siuba You can see TidyTuesday for tutorial Or Learn Siuba