Polymath Engineer Weekly #14
Links for your week
Links of the week
This post has lots of interesting stuff about Redis internals. It is filled with code and diagrams to make it more understandable.
HTML emails are really painful to build. Just of thinking about creating layouts with
<table> makes my stomach ache. I'm going to use this the next time I need to.
“PyTorch computes the gradient of a function with respect to the inputs by using automatic differentiation. Automatic differentiation is a technique that, given a computational graph, calculates the gradients of the inputs. (…) Automatic differentiation relies on a classic calculus formula known as the chain-rule. The chain rule allows us to calculate very complex derivatives by splitting them and recombining them later.“
It is nice to see how second order systems can be applied to make such cool effects on animations.
“This article explains the reasons for the emergence of OLEP and shows how it allows applications to guarantee strong consistency properties across heterogeneous data systems, without resorting to atomic commit protocols or distributed locking.“
I know almost nothing about optical lenses, but innovations on smartphones and VR headsets seem worthy to learn a bit about.
Book of the week
This book and the ideas behind “The Innovator’s Dilemma“ are essential tools to understand the market dynamics.
It also shows how disruptive businesses thrive by positioning themselves on the right niches.
Do you have any more links our community should read? Feel free to post them on the comments.
Have a nice week. 😉