All Hands on Data #25
It seems to be getting dark quicker than usual this week. Thankfully that gives you more time to fall into these article from our team.
What is Data Engineering?
The rise in both demand and popularity of the data space makes an article providing a high-level overview of the work and the role particularly helpful. Not only does the author do a great job outlining where in an organization a data engineer would sit but also tasks and terms that they're likely to encounter. I highly recommend looking through this if it's a career you're interested in! - John Forstmeier
The best new features and fixes in Python 3.11
This article provides a quick rundown of the important new features in Python 3.11. This is important to know if you are a Python user, particularly if your team is evaluating whether to upgrade to the newer version - Wes Poulsen
UCLA's MNN Project Is Rapidly Advancing AI As We Know It
Being fairly new to the data space, one of the things that was a roadblock for me was understanding what exactly data is used for. When you're not working with data everyday, you may just think of it as a series of 1s and 0s. But then you pretty quickly realize data is the foundation of just about everything - even the physical stuff like this new material mechanical engineers are working on at UCLA. - Joseph McDermott
End User Data Threats Businesses Can’t Ignore
With Shipyard currently going through SOC2 auditing, this article is a timely read. Sean makes several good points for what to keep in mind to ensure your user's data remains secure. - Jon Davidson
A Quickstart Practical Guide to Association Analysis in Python
Sometimes we need to get back to basics. This is nice introductory guide to association analysis. Nuri gives a good overview and some basic steps to get started in Python with a practical example. - Katt Baum
Unit 2: Introduction To Evolutionary Computation
It's fun to think that two different programs could meet each other at the CPU, fall in love, and have children. That's obviously not how algorithms or programs evolve, so it was cool to see the different ways that a computing model can be selected to evolve. Excited for the applications to come in the next parts. - Eric Elsken
What, exactly, isn't dbt?
I got quite a kick out of this article from Stephen (which is a great name I might add). If you are having a down day and want to read a data article that will cheer you up, this is the one for you. I would also go check out Stephen's talk from Coalesce. It was my favorite from the conference. - Steven Johnson