Below you will find pages that utilize the taxonomy term “Python”
A lot of my projects involve a great deal of I wonder what the result might look like. This one was not unexpected
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.
The stuff I have pending to read keeps increasing lately. Too much interesting material being written.
I have been busy. Hence the radio silence.
Slightly shorter because I’ll be on holidays.
A new entry on the data papers series. Ray is a distributed framework for next generation AI applications. What does this mean? A scam? Blockchain on AI? Nah, it’s actually pretty cool, it has actors.
I took some days off for Easter, and I definitely needed them.
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This turned out a long one
The dbt issue
Next week I’m on holidays!
Haven’t read much these days, but luckily I have not added much to the list either.
Christmas edition!
End of year cleanup, so a lot of goodies this time
Back on track.
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.
I had a very entertaining week.
A week on holidays (in-between jobs), where I read more books than articles.
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.
This is also a video-heavy edition, I keep chugging along my watch list with Glancer
The video edition
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 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.
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)! 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 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. 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.
A D3 sitemap using force layout and a web worker. This will come to bear-note-graph at some point (and other projects)
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 🎉
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.
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.
I have been working on several personal projects lately. Basically scratching projects itching on my to do lists for several months. This is the first write up from them: templating without base repositories.
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.
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? I stashed the question away, and created a project Timing Context Manager, which I actively ignored for many months. New year, new me, and a conversation with Marc Ramírez moved me to unblock some of my old projects. This was the easiest project I had in Python, so I moved it to active.
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 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.
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.
The map and problem described here were part of my presentation Mapping as a tool for thought, and mentioned in my interview with John Grant and Ben Mosior (to appear sometime soon in the Wardley Maps community youtube channel). I’m looking for ideas on how to make this map easier to understand and useful, so I posted it to the Wardley Maps Community forums requesting comments.
If you have have known me for any length of time you’ll know I write mostly Python and Scala lately (Rust is getting into the mix slowly). And you should know, I am a heavy emacs user. I have been using emacs for close to 15 years, for the past 3 my emacs of choice has been spacemacs. I used to have a very long, customised and complex .emacs and with spacemacs I get a mostly-batteries-included package.
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.
The year has ended, what has been going on?
A few days go I played a bit with a naive implementation of Bloom
filters in Python. I wanted to time
them against just checking whether a field is in a set/collection. I found
something slightly puzzling: it looked like the in worked too fast for
smaller lists. And I wondered: maybe small lists are special internally, and
allow for really fast lookups? Maybe they have some internal index? This raised
the question: how does in find stuff in sequences?
I am trying to make these posts a tradition (even if a few days late). I thought 2016 had been a really weird and fun year, but 2017 has beaten it easily. And I only hope 2018 will be even better in every way. For the record, when I say we, it means Laia and me unless explicitly changed.
Some of the links are affiliate links to Amazon. I only recommend what I use.
At last February. Finished my PhD dissertation, so can add Dr. in front of my name when ordering a Gatwick Express train ticket. Also makes for a cooler email signature. So far has been the only differences I’ve seen in the year
Work February-December Started working as a consultant in London, almost the day after delivering the PhD presentation.
Note from 2020: The domain mentioned in the post is no longer active (or mine at least), I cancelled this project some time ago
Last week I wrote about ~whatlanguageis.com~, my first simple try at creating a Django powered site. How did it came to be?
In the last few months have been writing and thinking about several ideas to process social data with Python, undoubtedly motivated by the great book Mining the Social Web.
Lately I’ve been coding a little more Python than usual, some twitter API stuff, some data crunching code. The other day I was thinking how I could detect the language a twitter user was writing in. Of course, I’m sure there is a library out there that does it… But the NLTK library (the Natural Language Toolkit for Python) does not have any function for this, or at least I was not able to find it after 5 minutes of Google search.