https://github.com/nthiery/laby-jupyter

Laby-Jupyter: Learn programming, playing with ants and spider webs ;-) In Jupyter :-)
https://github.com/nthiery/laby-jupyter

Last synced: about 2 months ago
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Laby-Jupyter: Learn programming, playing with ants and spider webs ;-) In Jupyter :-)

• Host: GitHub
• URL: https://github.com/nthiery/laby-jupyter
• Owner: nthiery
• License: gpl-3.0
• Created: 2019-09-08T08:00:12.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-10-05T21:04:30.000Z (about 2 years ago)
• Last Synced: 2023-08-27T19:59:25.001Z (over 1 year ago)
• Language: C++
• Homepage:
• Size: 137 KB
• Stars: 5
• Watchers: 2
• Forks: 3
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Laby-Jupyter: Learn programming, playing with ants and spider webs ;-) In Jupyter :-)

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/nthiery/laby-jupyter/master?filepath=notebooks).

[Laby](https://github.com/sgimenez/laby/issues/52) is an introductory

coding game, where the learner (from six years old on) solves puzzles

by guiding -- with code -- a lost ant out labyrinths riddled with

deadly obstacles. This is nothing but the good old pedagogical concept

of turtle; but gamified with a well conceived sequence of puzzles

guiding the learner through the basic concepts of imperative

programming.

Laby-Jupyter is a (partial) reimplementation of Laby, as a Jupyter-based web application.

Here is some [context and motivation](https://github.com/sgimenez/laby/issues/52).

Credits for all the artwork and puzzles goes to the original Laby

authors! Thank you for making this possible by sharing your work !!!

This an alpha version:

- supports only the C++ programming language

- supports only the French language

- is likely to have bugs or missing features

Please [try it out online](https://mybinder.org/v2/gh/nthiery/laby-jupyter/master?filepath=notebooks) and report bugs!

## Installation

Install the [dependencies](environment.yml), typically with conda.

Then:

    git clone [email protected]:nthiery/laby-jupyter.git

    pip install .

After this step, you should be able to enjoy all the [notebooks](notebooks/).

The installation procedure is primitive and assumes a standard

environment with /include, /share.

## Tests

Run:

    make tests

Again, this is primitive, assuming g++ and xwidgets and stuff directly

in the standard include path, or $(CONDA_PREFIX)/include.