Introduction Water is often overlooked aspect of coffee brewing with often more impact than squeezing last 1% extraction from your prep routine. Good water not only will make coffee taste better, but it will reduce scale buildup, especially important with Gaggia Classic Pro alumnium boilers. You might be winner of tap lottery and your water [ ]
Pimp my Gaggia introduction Pimping the Gaggia can be a daunting quest. I will rank mods on my subjective value/difficulty perception and provide a brief description. Any links here are not affiliate and I don t make any money from the blog. I guess a lot here is not only about Gaggia machines, but I [ ]
Choosing Gaggia Classic in 2024 Introduction Gaggia Classic Pro is still the best machine in 2024, especially with Gaggiuino installed. I would just buy an used unit. Those machine are very easy to self-service, they are sturdy to the test of time and it s one of the reasons they are so popular. And Gaggiuino [ ]
Introduction This is a post explaining my Gaggiuino install experience and some additional thoughts on this subject. I did custom wiring install on RI9480 from Diy-efi kit and here I ll focus on things that I wish I knew before the install and documenting my journey. Always look at official docs and open a support thread [ ]
Table of Contents Introduction Why use PyCharm docker integration? Why use the same docker environment for PyCharm and minikube? Prerequisites Set up docker in PyCharm Configure remote interpreter Share the path with the VM Problem with pycharm bindings Configure binding in VirtualBox Mount paths in the VM Start automatically Docker-PyCharm bugs Future work Introduction I [ ]
Introduction I found hand-writing kubernetes configuration in yaml insufficient very quickly: Fragile Implicit assumptions Not self-documenting Hard to navigate Not dynamic Editing by trial and error You may consider yaml templating templating discussed in this github issue, but I believe that generating configs in go would be right for many people. Generating your configs using [ ]
Introduction I extracted co-occurence of top 3500 python packages in github repos using the the github data on BigQuery. I implemented the visualization force layout in d3 via the velocity verlet integration. I also clustered the graph using algorithms from python-igraph and updated it to http://graphistry.com/. See the screenshot of the numpy cluster in the [ ]
Table of Contents Introduction Github data on Google BigQuery What is numpy, scipy and pandas and why top functions are useful? Methodology It may include modules or some false positives Data source Link to example usage This post on github Top pandas functions and modules Top pandas data frame functions Top numpy functions and modules [ ]
Table of Contents Introduction Unique usage per repository in top repositories with example usage Top usages in all repositories Custom directives Methodology BigQuery query Results My other posts analyzing github using BigQuery Introduction All github contents recently got query-able by the Google BigQuery. See the announcement from github. You can execute the BigQuery queries at [ ]
Table of Contents Introduction Bias towards repos with license Query on sample_contents Query on full, unsampled, data Results Things to improve Introduction Today github announced new BigQuery tables that let you query data about github repos using the BigQuery. I found about it from hacker news. Also see announcement from Google. The killer new feature [ ]