Blogroll

Data Science

Learning resources and ideas

• One of the most clear and useful books on bayesian and causal inference Statistical Rethinking
• "Blog" seems reductive to describe the collection of writings of one of the most prominent professors in the field statmodeling.stat.columbia.edu
• Interesting researchers to keep an eye on nicholas.carlini.com, minimizeregret.com
• Risk, Data Science and Machine Learning bpostance.github.io
• A casual introduction to causal inference for business analytics causalflows.com
• On interpretable machine learning christophm.github.io

Practical stuff

• For environment that are very "closed", where your sysAdmin will not make you install another language/package/library just for doing a bit of data manipulation. If you already know some command line tools, doing some exploratory data analysis might not require Python/R/Julia. Data Science at the Command Line, Useful commands list
• Also solutions for plotting exist YouPlot (other options available, some of them are real time too).
• For serious production endeavors in a closed AND performance aware systems consider using C/C++ root.cern. Also jupiter-like interactivity is possible blog.llvm.org

Software Engineering

Ideas, advices and projects

• This I think is a good synthesis of a lot of programming "ideologies" of the last 25-ish years Pike's 5 rules
• Putting here an article to share the blog but his lessons on low level programming, "computer enhance", are the best I've ever seen caseymuratori.com
• The greats dave.cheney.net and commandcenter.blogspot.com
• Advice from somebody who has to really deliver software to make a living positech.co.uk
• Tinkering at its best jasongullickson.com
• Software engineering like it should be taught 0de5.net

Backend oriented

• I've experienced real pain doing a lot of what the author writes, so as always... is the truth in the middle? kubernetes: maybe a few bash python scripts is enough
• William "Bill" Kennedy and its company Ardan Labs, extremely well curated training material for intermediate level developers. ardanlabs.com
• Always good to keep as a reference, especially if you deploy on a server bash oneliner
• A mention for a DB, or BaaS if you want, that stands out in my opinion: pocketbase.io It strikes a balance between being open source but having good and consistent coding standards, it provides abstractions but they are so well though out that you can remove them and work with the underlying constructs fairly easily, it has a convenient front end SDK that you can totally not use, autogenerated API endpoints and documentation, and you can extend its behaviors with Javascript or Golang (preferred). Also, its author seems to have a general vision that is more than just the DB pockethost.io, which is always a great thing to see.
• Demystifying Kubernetes Networking Using Tcpdump

Web Development

All things web

• A blog about all things web. Very nice articles, but the following series is my favorite jakearchibald.com
• A highlight from the FrontendMasters blog? This series of articles. I think Marc is the author frontendmasters.com
• Every article and project is great jvns.ca
• The name says it all radicalsimpli.city
• An all around good thinker therealadam.com
• Do you want to be a cheater? brettterpstra.com
• A technical and test-based analysis on how web "bloat" impacts users with slow devices danluu.com
• A cool project katydecorah.com
• The grain of the web. Thoughtful essay of an unspoken feeling that i share with a lot of colleagues frankchimero.com
• A good reminder, at least for me! blakewatson.com
• Design systems, clearly explained bradfrost.com
• An interesting blog with interactive articles ciechanow.ski
• A lot of cool ideas, projects and a cool website frills.dev
• Resources for when plain vanilla javascript is more than enough plainjs.com adrianroselli.com boringtechnology.club ufried.com grugbrain.dev