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
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
FreeBSD allows the management of multiple instances of PostgreSQL by means of rc.conf(5) .
The trick is to use profiles , that are avail...
New
Ruby vs Python comes down to the for loop.
Contrasting how each language handles iteration helps understand how to work effectively in e...
New
Writing a Game Boy Emulator in OCaml.
For the past few months, I have been working on a project called CAMLBOY, a Game Boy emulator that...
New
Haskell in Production: Freckle.
In this interview, we talk with Pat Brisbin, a Principal Engineer at Freckle, a company that helps teach...
New
Introducing Trilogy: a new database adapter for Ruby on Rails | The GitHub Blog.
We’ve open sourced Trilogy, the database adapter we use...
New
This post is my attempt to write down, in broad strokes, everything I know about good system design. A lot of the concrete judgment calls...
New
Learn Step-by-Step from a Hands-On Project
9 comprehensive modules taking you from beginner to building production-ready SaaS applicatio...
New
Other popular topics
Free and open source software is the default choice for the technologies that run our world, and it’s built and maintained by people like...
New
I am thinking in building or buy a desktop computer for programing, both professionally and on my free time, and my choice of OS is Linux...
New
Curious to know which languages and frameworks you’re all thinking about learning next :upside_down_face:
Perhaps if there’s enough peop...
New
Was just curious to see if any were around, found this one:
I got 51/100:
Not sure if it was meant to buy I am sure at times the b...
New
Author Spotlight
Mike Riley
@mriley
This month, we turn the spotlight on Mike Riley, author of Portable Python Projects. Mike’s book ...
New
Author Spotlight
Rebecca Skinner
@RebeccaSkinner
Welcome to our latest author spotlight, where we sit down with Rebecca Skinner, auth...
New
I have always used antique keyboards like Cherry MX 1800 or Cherry MX 8100 and almost always have modified the switches in some way, like...
New
Author Spotlight:
Peter Ullrich
@PJUllrich
Data is at the core of every business, but it is useless if nobody can access and analyze ...
New
Author Spotlight:
Bruce Tate
@redrapids
Programming languages always emerge out of need, and if that’s not always true, they’re defin...
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
- /wasm
- /ruby
- /erlang
- /phoenix
- /keyboards
- /python
- /js
- /rails
- /security
- /go
- /swift
- /vim
- /clojure
- /java
- /emacs
- /haskell
- /svelte
- /onivim
- /typescript
- /kotlin
- /c-plus-plus
- /crystal
- /tailwind
- /react
- /gleam
- /ocaml
- /flutter
- /elm
- /vscode
- /ash
- /html
- /opensuse
- /zig
- /deepseek
- /centos
- /php
- /scala
- /react-native
- /lisp
- /textmate
- /sublime-text
- /nixos
- /debian
- /agda
- /django
- /deno
- /kubuntu
- /arch-linux
- /nodejs
- /revery
- /ubuntu
- /spring
- /manjaro
- /diversity
- /julia
- /lua
- /markdown
- /v









