I am increasingly struck by the idea that technical blogs are just a way of building your own technical documentation. You write about the problem you had and how you solved it, in part to helps others who might stumble upon, but even more so to help yourself if you find yourself in that predicament again.

This is my contribution.

Simple stats actions translated from Excel to Python

Updated on 2020-11-08. There are two foundational ideas that are driving me to carve out some time to sit down and right this today: This idea that writing technical blog posts are in many ways writing documentation for you to reference in the future. It amazes me that in 2020 this wasn’t easier to find. I recently started my MBA program, and one of the first required course is a statistics class. [Read More]

Year Two Was Different Than What I Expected

Just over a year ago, when I reflected on crossing the 1 year mark at GitLab, that reflection was wholly on my time on the data team. As I looked ahead, I couldn’t have imagined anything but a future on the data team. It’s still a lit of a brainmeld, but less than a month after I published that post, on July 19, I’d see an internal opportunity for movement, decide to stay up late one Thursday night updating my resume, and submit an application to a new role outside of the data team all within a 6 hour window. [Read More]

Managing my dotfiles with chezmoi

A couple of weeks ago, I had this horrible hiccup where in trying to manage my python dependencies (aka trying to do the impossible), I deleted vim and all my dotfiles. After some panic, I got into a working state enough to work.But there was also a chance here to set things up correctly, better, and more effectively! When Kevin shared about chezmoi in techSAV Slack, I figured I’d give it a go. [Read More]

How to Align and Inspire a Remote Team with Joe Martin, Matthew Volm, and Kevin Shively

Earlier this spring, I got to join a discussion with Joe Martin of CloudApp and Matthew Volm of Ally, hosted by Kevin Shively of Ally, on remote work. Especially in this world where we’re all suddenly remote, we talked through a ton of really specific tactical tips that can be useful if you’re struggling with remote work. A couple of cool highlights: Phases of remote transition Connecting with your colleagues as real-people without face-to-face Tactical suggestions for working more asynchronously a shoutout to the GitLab handbook OKRs Thanks Ally for hosting! [Read More]

Send Freewrite posts write to WordPress

I have loved my Freewrite since I got it two years ago. The machine in itself is a bit bulky, and that bulk can make it a bit difficult to use. For example, it can never travel with me. I know that writing is a muscle I should be exercising on a regular basis, so I want to make it easier to use. I’m not going to change the bulk of the machine (though the Traveler will help with that! [Read More]

Career paths, data literacy, and a great conversation with Simon Ouderkirk and Stephen Levin

I got the chance to have a really great conversation with Simon Ouderkirk of Automattic (WordPress.com, Jetpack, Tumblr) and Stephen Levin of Zapier earlier this spring about career growth, DataOps, job titles, and more. Stephen was the perfect pair here, as our careers has both moved from data into cross-functional operations-y roles. Simon is an incredible interviewer. These two were great partners for an awesome conversation. Stephen Levin: Website: https://www. [Read More]

Another article on working from home in the era of COVID-19

With a couple of years of full-time remote work under my belt, I’m going to add to the series of posts on remote work with my own tools and tips. My Top 3 Be intentional about getting out of the house. You may be working from home, but that doesn’t mean you’re not leaving your house. Walk your dog or just go for a walk. Get the mail from the mailbox every day. [Read More]

Commit San Francisco 2020: How to Implement DataOps using GitLab

DataOps is an emerging practice that applies the principles of DevOps to the field of data- data analytics, data engineering, and data science. But, how do we get data analysts and data scientists working like data engineers? In this talk by GitLab’s Internal Strategy Consultant Emilie Schario, you’ll walk away with three changes you can implement when you get back to your team to help level up your data org and help them start implementing DataOps. [Read More]

Commit Brooklyn 2019: DataOps in a Cloud Native World at GitLab

I shared last week a bit about the wonderful panel at [GitLab Commit in Brooklyn]() that I was able to participate in. Now that the video is live, I thought I’d take a second to share the video and a couple of highlights. Key takeaways: Data is behind Software Development when it comes to learning and implementing the best practices of DevOps. DataOps is the future. Places to start: Version Control and CI/CD You’re fighting years/decades/lifetimes of people working in flows they’re interested in (cough. [Read More]