CommunityNews
Building A Neural Network in Pure Lisp without Built-in Numbers using only Atoms and Lists
Building a Neural Network in Pure Lisp without Built-in Numbers using only Atoms and Lists.
A neural network written in pure Lisp without built-in numbers using only atoms and lists in SectorLISP, a 512-byte Lisp interpreter written by the authors of the SectorLISP project.
Read in full here:
This thread was posted by one of our members via one of our news source trackers.
Popular Backend topics
New
There is a long, difficult road from vague, pie-in-the-sky ideas about what would be cool to have in a new programming language, to a rob...
New
In this episode, we look at some common functionality that we got with Rails UJS and what it looks like to reimplement these with Hotwire...
New
Algebraic effects and handlers provide a modular abstraction for expressing effectful computation, allowing the programmer to separate th...
New
Metaprogramming in Nim #1 Introduction.
In this video i will show you and teach you about Nim’s Metaprogramming features/capabilities. E...
New
GitHub - vydd/sketch: A Common Lisp framework for the creation of electronic art, visual design, game prototyping, game making, computer ...
New
PHP: Frankenstein arrays.
PHP has become quite a nice language, but there are some ugly legacies left from the past. Like the deceptive ...
New
I am often fascinated by old tech.
While I do not have the experience nor the expertise on the subject, in the last months, some very sp...
New
Ruby 3.1’s incompatible changes to its YAML module (Psych 4).
Ruby made its YAML interpreter more secure by default at the cost of backw...
New
A look at how and why we migrated from Next.js to Ruby on Rails.
New
Other popular topics
Reading something? Working on something? Planning something? Changing jobs even!?
If you’re up for sharing, please let us know what you’...
New
Please tell us what is your preferred monitor setup for programming(not gaming) and why you have chosen it.
Does your monitor have eye p...
New
SpaceVim seems to be gaining in features and popularity and I just wondered how it compares with SpaceMacs in 2020 - anyone have any thou...
New
Rust is an exciting new programming language combining the power of C with memory safety, fearless concurrency, and productivity boosters...
New
Oh just spent so much time on this to discover now that RancherOS is in end of life but Rancher is refusing to mark the Github repo as su...
New
We’ve talked about his book briefly here but it is quickly becoming obsolete - so he’s decided to create a series of 7 podcasts, the firs...
New
Build efficient applications that exploit the unique benefits of a pure functional language, learning from an engineer who uses Haskell t...
New
Author Spotlight
Dmitry Zinoviev
@aqsaqal
Today we’re putting our spotlight on Dmitry Zinoviev, author of Data Science Essentials in ...
New
Will Swifties’ war on AI fakes spark a deepfake porn reckoning?
New
Get the comprehensive, insider information you need for Rails 8 with the new edition of this award-winning classic.
Sam Ruby @rubys
...
New
Categories:
Sub Categories:
Popular Portals
- /elixir
- /rust
- /ruby
- /wasm
- /erlang
- /phoenix
- /keyboards
- /python
- /js
- /rails
- /security
- /go
- /swift
- /vim
- /clojure
- /emacs
- /haskell
- /java
- /svelte
- /onivim
- /typescript
- /kotlin
- /c-plus-plus
- /crystal
- /tailwind
- /react
- /gleam
- /ocaml
- /elm
- /flutter
- /vscode
- /ash
- /opensuse
- /html
- /centos
- /php
- /deepseek
- /zig
- /scala
- /sublime-text
- /textmate
- /lisp
- /react-native
- /debian
- /nixos
- /agda
- /kubuntu
- /arch-linux
- /django
- /deno
- /nodejs
- /revery
- /ubuntu
- /spring
- /manjaro
- /diversity
- /lua
- /julia
- /markdown
- /c








