Below you will find pages that utilize the taxonomy term “Readings”
I know, I have been silent for quite a while.
There’s as a scarcity of themes for this edition: just (not counting miscellaneous stuff, sure) SRE and how to learn things
Had some stuff going on that ate all my available time.
Trying a cross between the old format and the new format (since there are people who like both)
If you are reading this as a subscriber, you’ll see some difference.
Feeling less tired this weekend.
Playing with stable diffusion on your own machine is great.
The stuff I have pending to read keeps increasing lately. Too much interesting material being written.
Slowly, very slowly, cleaning up my reading list.
I have been busy. Hence the radio silence.
Slightly shorter because I’ll be on holidays.
Spent a week in Switzerland… and on the flight back caught COVID.
Shit ain’t gettin' better.
This has been a really tough week.
I was on J on the Beach, so skipped last weekend.
I took some days off for Easter, and I definitely needed them.
A middle-of-the-week one because it’s Easter and I may not write this during days off.
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This turned out a long one
Meetings galore.
Слава Україні! Героям слава!
The dbt issue
Next week I’m on holidays!
RIP Michael (originally Marvin) Lee Aday, Meat Loaf 🤘
Haven’t read much these days, but luckily I have not added much to the list either.
Another week gone by, with a long list of readings seen pass.
Happy new year!
Christmas edition!
End of year cleanup, so a lot of goodies this time
Back on track.
This is a light edition.
As usual, skipping an edition means a longer collection later on.
A 2-week’s worth of readings means a longer than usual list, as usual.
This past week we were on holidays 🎉.
I had a very entertaining week.
A week on holidays (in-between jobs), where I read more books than articles.
Next week I start a new job 😮
This edition has an unusually low amount of big data.
This past week I’ve been on holidays in Cordoba. I put on 2.5kg in 4 days. Recommended.
This past week has been Data+AI Summit, so there are several new product announcements from Databricks.
This week is Data+AI summit week.
Not much to report. I’m still in kind of an article reading slump (my backlog is larger than 50 right now).
Having to tweak a presentation for the Data+AI Summit time constraints has eaten all my disposable free time, hence the posting hiatus and this being relatively short.
I have spent a big deal of these weeks moving my notes from Bear to Obsidian. I may write the reasons at some point, stay 🐟.
Looks like my mojo is coming back.
This edition is kind of strange: there’s more management than “code”.
My days are consolidating into piano, work, VR, piano, sleep, loop
This is not an overly long list, but covers a surprisingly large amount of topics.
Sweet, sweet holidays.
Not sure what I did this past week aside from finishing a post: I read very little.
This is also a video-heavy edition, I keep chugging along my watch list with Glancer
The video edition
As promised, the numbering of these posts is now year-indexed.
The last of 2020.
My reading list is at less than 10 items, so now my readings posts will hopefully look closer to watchings. My watch-later list is at more than 90.
I have been on holidays this week, playing VR and preparing videos for an online Python event I co-organise.
This looks like a less hard technical edition than usual.
This is a short edition.
Adventures with Applescript, AWK and Things
Finished that post, now started the next. And having all Fridays off is awesome.
I am having a very hard time finishing my summary of the RDD paper.
I have played a ton of virtual table tennis this week.
I have read quite a bit this week, I’m also preparing a summary of the RDD paper.
I have dropped the Weekly from the title. It was about time.
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.
I am on holidays (starting yesterday)! Two weeks of probably more programming than usual 🤣
We have alternated Friday’s off, so I have extra time to write this post today.
This one is actually making it on time. Don’t get used to it.
I should remove the Weekly moniker of these posts and emails. They are done when they are done. Enjoy!
I was a week off, and this delayed this post by a week. So, this is a long one: have fun for the 50th edition!
An early one: For the first time in… not sure how, I’m going to be a whole week off. Which implies no computer.
Spark 3 is here! Rejoice!
Another hard push at reducing my reading list. At the current pace I may not write many more of these posts.
I made a hard push to clean up my reading list, deleting a lot and reading another lot. It went from 369 items to 99 🎉
Writing generative stuff is eating away at my free time, reducing reading significantly.
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.
The full lockdown edition. Almost no engineering ¯\_(ツ)_/¯. The lack of commute is hard on reading articles.
The stay at home edition. Stay safe these days, and remember to wash your hands and keep your distance.
No specific theme this week, but feels more data engineering heavy than lately. As it should. Oh, and beware door knobs, they can bring evil.
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. Posting this at 4 AM because for some reason I could not sleep and decided I may as well finish this.
First edition of the New Year. As eclectic as usual, I hope. The audio-based monitoring of servers and the weird uses of the GPT-2 neural network could be two highlights.
On time this week. Nothing remarkable: I’m winding down a bit my reading (both articles and books) in preparation for the yearly review and having some cooldown period.
A flight last Sunday meant I was so sleepy I skipped sending last week’s newsletter… so this week is super-sized. A lot of content about distributed teams I think.
This week is somewhat more eclectic than usual. There is nothing about any particular programming language. There is a bit on Kubernetes, functional programming and containers, project management, aviation history, interviews/bios… I have started reading a few more papers, and I’ll share the interesting ones as well. This week they are centered in data engineering.
Yeah, I skipped last week. On Saturday Python Barcelona organised PyDay 2019, and I was one of the organisers aside from giving a workshop on PySpark, so I felt pretty tired on Sunday. Of course this means this is a double issue.
This week there is a lot of functional programming (mostly Scala, a bit of Haskell) and data engineering topics. Of course, there is also the usual random stuff I find interesting as well (and other 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. A lot of Haskell, Rust, Python and Scala. There’s still a bit of everything, but this will appeal hardcore developers more than usual.
This is a slightly longer edition because my reading list was overflowing with 400+ articles. I “trimmed” it down to “only” 380 during this week, I had a lot of airport time due to going to Spark Summit Europe to give a talk.
Some data engineering, a bit of Haskell, programming music, Python and random bits and bobs. I recommend you play with the third. Several good books this week, as I have ramped up my reading: current goal would be 52 this year.
A bit of Python, some more Rust and the usual randomness. The first one looks tasty.
Heavy focus on Python’s asyncio this week. Also, one of the best books of the
year.
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. Just one article.
I have been on quite the hiatus, making this more of a readings of the month edition. Sorry!
I have been pretty busy lately, and although reading doesn’t stop, my writing sometimes takes a hiatus.
Data engineering, adtech, history, apple. Expect a similar wide range in the future as well. You can check all my weekly readings by checking the tag here . You can also get these as a weekly newsletter by subscribing here.
_This week is a bit light on technical content because I was attending Scala Days 2019 in Lausanne and I had enough with the talks. _
Software engineering, psychology, history. Expect a similar wide range in the future as well. You can check all my weekly readings by checking the tag here . You can also get these as a weekly newsletter by subscribing here.
Software engineering, Spark, history, python. Expect a similar wide range in the future as well. You can check all my weekly readings by checking the tag here . You can also get these as a weekly newsletter by subscribing here.
Testing and debugging Apache Airflow We’ve been using Airflow for almost a year (on my suggestion). I’m not super-happy with it, and testing it is one of the pain points.
You know how you slip once on a habit and everything goes crazy? Well, I’ve been 4 weeks without writing these, so here’s the accumulated reading from 4 weeks. Because, even if I don’t write it, I read a lot anyway. Also, there’s lot of interesting content this “week”.
Sorry for the delay, Sunday was my birthday (also, Elmo’s, and The Day The Music Died as well) and I spent the day without access to a computer.
Software/data engineering, languages, writing. Expect a similar wide range in the future as well. You can check all weekly readings by checking the tag here.