Gianfrancoalongi/sed_by_example
sed repository with several use-cases and examples
Discovered public repositories for Gianfrancoalongi in the GitHub catalog.
sed repository with several use-cases and examples
An inductive APL course that takes you through several Small Programs
Teaching bash by small isolated examples, together with one example of how to build a small service
Public repository.
Regular expression practice
awk practice system
GIT practice scripts - intended to help people practice GIT, step by step through an automated problem setup and verification
Musings an ideas regarding commonly observed erlang antipatterns.
Ravens Progressive Matrices
Katas that are delivered incrementally - the full problem is not displayed at once, it is revealed when one part is done
Public repository.
A Tmux Pair Programming Clock that signals the driver change
APL Setup contains a script to quickly create the boiler plate setup for a new APL project
Erlang SlimServer implementation with small Fixture demo
*nix command practice repository
Katas Performed Using Different Languages
A repository with practice material for editors
Mu Ren Zhuang is an exercise form to practice Code Flexibility - something I have not seen before
APLUnit - a library to facilitate Unit Testing and Test Driven Development of code written in Dyalog APL, developed together with Morten Kromberg (CTO Dyalog Ltd)
Various Code Dojo exercises in APL
APL Time Booking project - first APL project!
Exercises for anyone, with my proposed solution
Wx graphics toy
The Weasleyclock as seen in Harry Potter
Based on erlang:trace and the idea from Frame Axiom, this continuous time diff tool intends making testing of side effecting code easier
Did my stuff change anything? Unless stated, it should not. Frame Axiom to the rescue.
A for fun program I made in C
A crude Lisp implementation of a Lambda reducer
A crude Haskell Rasterizer using HGL
Computational Tree Logic Model checker from the University years
A Java Boids Model to play with
The ANN I wrote lib I used in a class about machine learning
WorkerNet source from the TDD hands on series