Neat! Looks like you are under the ocean.
Neat! Looks like you are under the ocean.
Yeah, I’m glad they left that one active.
That’s a very beautiful photo. Any idea how cold the water is? Looks like it would be freezing.
Maybe you could make a mayonnaise cake? https://www.allrecipes.com/recipe/7423/mayonnaise-cake-i/
That’s really pretty. What beach were you at?
Thanks for sharing. :) They are adorable!!
That’s so cute! Do you have any pictures of them? My nieces had a pair years ago. I liked watching them do the popcorn dance when they were excited.
You and me both. I’m leaving my job in IT and taking a break for a few months. Hoping the time off will get me back in the mood to find a new position. This was my second career, not sure if I’m up for a third. :p Only two days until I’m done…
That’s quite the haul!! What variety did you grow? My last attempt a few years ago got some kind of blight late in the season. I’ve stuck with tomatoes and chilis since then.
Ooh, grilled pizza is a great idea!
What are you going to try cooking first?
Just finished my last day of work for the year. Now I’m trying to make enchiladas. Very festive! I’m missing ingredients. Guess I will need to add more cheese to compensate.
Sure thing!
That’s right. You can read in structured files and query them locally without having to load into a database. It’s nice in the case where you would rather write analytics sql, or want to convert between sql and pandas. It’s very quick to load and run files. It can connect to databases, too.
Not that I could smell. I love the bottle brushes, too! That’s another really cool tree. They are also blooming everywhere right now.
Those sound like perfect scenarios! One of the first projects that got me hooked on python was processing large csv files instead of opening them in excel and running visual basic on them.
If you haven’t already, you should check out duck db for working with your larger data sets, too. It’s pretty neat. https://duckdb.org/
I’m a data engineer working mostly in Python and sql embedded in a data analytics team. Our main use cases are for ingestion pipelines (API sources, glue scripts, batch jobs in airflow and aws), and some work in pandas that doesn’t fit into our dbt sql models. I think it’s also nice for data exploration and sharing via jupyter/colab notebooks.
What are you thinking of using it for?
We went to the Auckland botanic gardens for a few hours on Saturday. There was an ultra marathon going in the forest trail in the back. Lots of nice flowers out.
DC area checking in. They are super popular right now, especially roasted or deep fried. Fortunately, I haven’t seen anyone serving the boiled nasties my mom used to make…