Supercharge your BigQuery experience with these 6 best practices — Google BigQuery, a powerful serverless data warehouse, has become a cornerstone of data analysis and machine learning pipelines for many organizations. To harness its full potential and ensure an efficient, cost-effective experience, it’s crucial to follow some best practices. …

Stop waiting and start multi-threading — Even though Julia is one of the fastest languages out there, sometimes it can take time for things to execute. …

Streamline your BigQuery custom functions deployment with the power of GitHub Actions automation. — Introduction As data professionals, we constantly seek better and more efficient ways to manage our data warehouse. Google BigQuery is an impressive serverless data warehouse solution that provides the ability to analyze vast datasets in real time. One fascinating aspect of BigQuery is its support for custom functions using SQL and…

It’s ok to feel like a shitty engineer for a while — When I first started my new job (this has been some time ago now, but I still feel like I should share this experience), I felt overwhelmed, like I was in over my head. I’m sure many of you can relate. The pressure to make a positive impression, contribute right…

Download and install Julia on Windows, Mac and Linux the easy way — For a long time, the recommended way to install Julia was to go to Julialang.org, download the latest executable and run it. It’s still listed as the recommended way on the official website, but I argue there’s a better way. If you ever wanted to try out Julia for your…

Get a sound notification when your script is done — A long long time ago, I used to use R. Sometimes I would have functions or processes that take ages to complete, so I would wander off and do something else on my computer while waiting for the results. The problem was that I never knew when the script would…

The easiest way to make your code faster: ThreadsX.jl I have been following the Julia language since around 2014 or so. One of the most enticing things about Julia is that it was built for multi-core machines from its inception (using joblib in Python is such a nightmare…). …

Some cool features of the Julia language — I used Exercism to learn more Julia and found some useful tricks and tips on the way. Read on and see how many of these you already know. I started dabbling with Julia back in 2014 and have been on and off it ever since. Always wanted to use it…

Keep an eye on your for loops — Did you ever have the feeling that a function is just too slow? Did you often find yourself frustrated because you can’t see the progress your function is making? Fear not, we have progress bars! …