Yesterday I spent a few hours dealing with what I like to call "the edges of StackOverflow". By that I mean those situations in which you are trying to solve a programming problem (mostly a bug) and you have no idea why its happening, and even worse, no amount of

Let's assume we have a service set up as follows: [Unit] Description=systemd_microservice [Service] User=USER Group=GROUP WorkingDirectory=systemd_working_directory ExecStart=/usr/bin/python python_scripts.py SuccessExitStatus=143 TimeoutStopSec=10 Restart=on-failure RestartSec=10 [Install] WantedBy=multi-user.target And inside python_script.py you have a

Sources: here and here This post shows how to disable the caps lock key and enables it only by pressing both shift keys together. 1. Install DCONF $ sudo apt-get install dconf-tools 2. Disable caps lock and reenable it as pressing both shift keys at once: $ setxkbmap -option "caps:none" $ setxkbmap

Nowadays, everyone seems to be fascinated about startups. Media bombard us with success story after success story, displaying incredible offices featuring slides instead of stairs and in house chefs preparing home made dinners. I started working in November 2013 in a NYC based Startup named Namely. I was the 18th

If you ever migrate code from Bitbucket to Github, you will unpleasantly discover that GH does not allow by default fiels larger than 100MB (unless you pay extra for Large File Storage). At that point, you will probably realize that Github isn't really the right place to store such large

Aquí dejo el video de mi charla "Usos del Machine Learning aplicados al E-commerce" que tuvo lugar en la ENAE Business School como parte del Foro "Ecommerce & Big/Small Data". En esta charla explico varios algoritmos que se usan hoy en día en Ecommerce así como las librerías que existen

PMML, a markup language developed by the Data Mining Group is, in my opinion, a well needed standard in the Data Science ecosystem. PMML is basically an xml format to define Machine learning pipelines, which allows for (sort of) interoperability between different ML Platforms. In particular, I have been working

El 21 de Abril de 2017, y gracias al apoyo de Centic y del Info de Murcia, unas 80 personas se acercaron a que yo les diera la brasa durante 3 horas sobre todo lo relacionado con Data Science. Aquí dejo el video. Las transparencias las podeis ver en SlideShare.

Left, side of this chart, VSZ (virtual memory) and RSS (RAM) over time (obtained via ps) for a process using poor implementation of KafkaClient in java, which is creating a new kafka client per GET request. This is bad. Right side of the chart, current performance once I fixed the

Very quick note for future reference. Please ignore. Change loglevel in spark Easy peasy, you can do it programatically in the application like: spark.sparkContext.setLogLevel("WARN") Change loglevel in yarn This one took a while to find, you can just run spark-submit while previously exporting this envvar: export YARN_