mostlymaths.net

I didn’t know much about Snowflake, so I decided to have a look at its SIGMOD (ACM Special Interest Group on Management of Data) paper and investigate a bit more what special capabilities they offer, and how they compare to others.

This is a bit late because I have automated something.

I have been on holidays, which has resulted in a lot of reading, mostly books.

Here are some details of the tools used to build and keep this blog.

After my happy experience with Haskell rewriting the ticketiser from Python to Haskell, I moved next on my list of rewrites.

I am on holidays (starting yesterday)!

We have alternated Friday’s off, so I have extra time to write this post today.

This one is actually making it on time.

This is a project recap on writing some non-super-trivial Haskell for the first time.

I should remove the Weekly moniker of these posts and emails.

Ever tried.

I was a week off, and this delayed this post by a week.

An early one: For the first time in… not sure how, I’m going to be a whole week off.

Spark 3 is here!

Another hard push at reducing my reading list.

Here are the details about how my procedural sketch Iris works.

A D3 sitemap using force layout and a web worker.

I made a hard push to clean up my reading list, deleting a lot and reading another lot.

If you have been paying attention, you may have seen me talk about p5js and generative art lately.

These probably qualify as the most one weird trick I have figured out this year.

Writing generative stuff is eating away at my free time, reducing reading significantly.

Some details of my p5js sketch Blot/Painting

The lack of commute is very hard on my reading, and I have also been working on several projects that have eaten into my reading/writing time.

Generative art using p5.js

I have been working on several personal projects lately.

The full lockdown edition.

The stay at home edition.

No specific theme this week, but feels more data engineering heavy than lately.

Update on read books this year, I had forgotten on my previous posts.

Skipped ehem a few weeks (I can blame one on my birthday).

Skipped last week ¯\_(ツ)_/¯ This week has more machine learning than usual for no special reason.

Around a year ago (give or take a few months), I was talking with a coworker about context managers, and a question arose: could you use a context manager to measure elapsed time?

First edition of the New Year.

My girlfriend likes to joke/complain that I have more keyboards than hands.

On time this week.

A flight last Sunday meant I was so sleepy I skipped sending last week’s newsletter… so this week is super-sized.

This week is somewhat more eclectic than usual.

Yeah, I skipped last week.

This week there is a lot of functional programming (mostly Scala, a bit of Haskell) and data engineering topics.

A mixed bag of interesting history tidbits sprinkled with Haskell code, Scala stuff, data engineering systems and practices, and how to code with your voice.

This feels like a heavy engineering edition.

This is a slightly longer edition because my reading list was overflowing with 400+ articles.

Some data engineering, a bit of Haskell, programming music, Python and random bits and bobs.

A bit of Python, some more Rust and the usual randomness.

Heavy focus on Python’s asyncio this week.

Although this week I have been reading mostly Apache Cassandra documentation, I have tried to avoid an onslaught of tips, tricks and readings on it.

If you’ve been in this blog before, you may wonder if it looks different or is just your imagination.

I have been on quite the hiatus, making this more of a readings of the month edition.

I have been pretty busy lately, and although reading doesn’t stop, my writing sometimes takes a hiatus.

History, haskell, Wardley mapping, functional programming.