Learnings

I saw millions compromise their Facebook accounts to fuel fake engagement: via

Meet :has, A Native CSS Parent Selector

"The moment you realize there’s some schedule risk, you should be making it widely known. Even if you’re not late yet and have merely realized that some part of the project is riskier than you’d thought and could potentially push the timeline out"

Python Design Patterns:

In mathematics, a pairing function is a process to uniquely encode two natural numbers into a single natural number.

It's Time to Start Paying Attention to Vector Databases:

Extrapolating to Unnatural Language Processing with GPT-3's In-context Learning: The Good, the Bad, and the Mysterious

Awesome Machine Learning FAQ

Intuitive explanations for non-intuitive problems: the Monty Hall problem:

"You have two hands. Observability and experimentation: It stuck with me as it also makes the point that when you're only using one type to solve a performance problem you're working one-handed."

Docker Security Cheat sheet

btilly on HN: "Whatever scale you hit on a single machine, you can probably gain 1-2 orders of magnitude of performance by switching to a faster language and carefully optimizing. If you switch to distributed, you'll LOSE at least an order of magnitude performance due to the overhead of RPCs, but are able to scale indefinitely afterwards."

postgres-checkup – automated PostgreSQL health checks:

An incomplete list of skills senior engineers need, beyond coding:

How to build a webhook receiver in Django

pgbarman - taking an online hot backup of PostgreSQL is now as easy as ordering a good espresso coffee:

django-add-default-value: This django Migration Operation can be used to transfer a Fields default value to the database scheme.

Hasura - Auto-generate GraphQL and REST APIs for your data:

When dealing with csv files, use the builtin csv module to avoid text escape bugs

Image Uploads in Wagtail Forms:

Adding CloudFlare to S3 bucket:

GraphQL has a @deprecated directive for deprecated fields

A brief guide on updating your Makefile to become a self-documented tool, with a list of available commands alongside their short description

Django extension to allow working with 'clusters' of models as a single unit, independently of the database: