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Local State is Poison | Awelon Blue
Of course, the problem with global state is that it's really hard to scale unless you sacrifice consistency. Nothing's free.
proglang  programming  state 
october 2018 by emk
A constraint / logic language.
programming  logic  constraints 
march 2018 by emk
The Benjamin Franklin Method of Reading Programming Books | Path-Sensitive
Nice advice. OTOH, my approach is usually just (1) read the book, (2) try to implement my own thing, (3) look things up if I get stuck.
february 2018 by emk
Accidentally Turing-Complete
List of things which are accidentally Turing complete.
turingcompleteness  programming  computation 
february 2018 by emk
Is Uncle Bob serious?
More discussion of error prevention in high-reliability software.
programming  agile 
october 2017 by emk
Pony - Pony
An actor-based language using a memory model similar to that of Rust.
programming  proglang  actors  rust 
september 2017 by emk
Enough with the microservices | Adam Drake
An interesting counter-argument to microservices.
microservices  design  programming 
may 2017 by emk
I want to try this with Emacs!
font  programming  emacs 
april 2017 by emk
Not Your Problem | How to Make an RPG
One of the most important imaginable articles for turning talented junior devs into senior ones.
november 2016 by emk
Rusty's Bleeding Edge Page
Horrible APIs designed to make programmers sad.
programming  api 
june 2016 by emk
The curse of the gifted is a real thing—I've seen MIT research developers with fantastic native talent and absolutely zero software engineering discipline, and the results can be… interesting.
february 2016 by emk
Code rant: Learn To Code, It’s Harder Than You Think
I don't actually believe it's unlearnable, just that it's a lot of work and you need to be willing to pound your head against the wall a lot.
december 2015 by emk
A dense streaming graphics language.
streaming  dataflow  graphics  programming 
november 2015 by emk
Home — TensorFlow
TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
deeplearning  ai  programming 
november 2015 by emk
Joe Duffy - Blogging about Midori
Microsoft research on a Rust like language.
proglang  programming  rust 
november 2015 by emk
Indices point between elements - Made of Bugs
One way of looking at how arrays work in most languages.
august 2015 by emk
Code | Bloomberg
Huge essay on code and managing programmers.
programming  business  management 
june 2015 by emk
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