[Pipeline] Provision A Python VM In 5 Minutes


The Latest From Pipeline: Your Data Engineering Resource

Hi past, present or future data professional!

One of the worst habits you can adapt in data engineering is to accept a tool or technology as a black box you’ll simply never understand. For me, for the longest time, this was virtual machines. I would commit and troubleshoot code that would run within a VM but never quite knew how to interact with it.

Recently, I provisioned a Google Cloud Compute Engine instance for a junior teammate and learned how to simply and logically create a virtual environment that can boost compute power and accurately mimic production.

The best part is, I’ve distilled this into a process that shouldn’t take you more than 5 minutes.

Read the latest here.

And if you want to learn why automation isn’t always the end goal of software engineering, read last week’s article.

Thanks for ingesting,

-Zach

Extract. Transform. Read.

Reaching 20k+ readers on Medium and over 3k learners by email, I draw on my 4 years of experience as a Senior Data Engineer to demystify data science, cloud and programming concepts while sharing job hunt strategies so you can land and excel in data-driven roles. Subscribe for 500 words of actionable advice every Thursday.

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