If you know me, you’ll know I have a quite extensive reading list. I keep it in Pocket, and is part of my to do stored in Things3. It used to be large (hovering around 230 items since August) but during Christmas it got out of control, reaching almost 300 items.

• Programming
• ReadingsOfTheWeek
• Readings
• emacs
• Data
• Scala
• spacemacs
• Maths
• Drawing
• Productivity

The year has ended, what has been going on?

• Trips
• Python
• Christmas
• Time Management
•  iPad
• Maths
• Books
• Apache Spark
• Open source
• Scala
•  Mac
• TLA+
• Github
•  iPhone

This is how I handle the dreaded GTD (Getting Things Done) weekly review when using Things 3.

•  iOS
• GTD
• Productivity

This week I have been working a lot with a relatively large dataset on a Spark shell. It was a graph with 1 billion nodes and 2 billion edges that I wanted to analyse with GraphFrames (the successor of GraphX on Spark).

•  Watch
• Apache Spark
• Open Source
• Scala
•  iPhone

Even though I have been a long time user of oh-my-zsh on zsh (moved from plain bash to zsh like 10 years ago), I have been minimal on my use of its theme capabilities. I have used the default theme forever: robbyrussell. But recently I was showing my friend @craftycoder the tweaks I have on my system (fzf, autojump, etc) and he showed me this theme, agnoster.

•  Mac

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?

• Python
• C
• github