At the end of last year, I was quite motivated to learn everything about MLOps, and my end goal was to build an end-to-end machine learning system. Just like other curious heads, I signed up for the MLOps event by Noah Gift. He was promoting his book and tutorial on Coursera. I was just surprised by how I never learned command-line tools and how they are essential for automation. During the Q&A session, I told him about my obsession, and he guided me to take his mini-course on DataCamp: Command Line Automation in Python. This course gave me a new perspective about data pipelines, editing data, creating scripts, and how a single line of code on a terminal can produce the same results as 15 lines of code on Python. So, I kept looking for the best material on the command line, and then I found Data Science at the Command Line by Jeroen Janssens. Read my blog to know learn about the special features of the book: https://www.kdnuggets.com/2022/03/data-science-command-line-free-ebook.html

Jeroen is great! He's a fellow Dutchie, I spoke to him a couple of times. The book is also available free of charge: https://datascienceatthecommandline.com/2e/ This movement to use the command line in data processing where it’s relevant is one of the reasons why we have first class support for

bash

based pipeline steps in Orchest.

True. The online version of book is simply amazing. The author have created his own library to assist data analytics tasks

The author have created his own library

Oh which one? I missed that