namemaker VS python-tcod

namemaker (PyPI | github | examples | previous Sharing Saturday)

My random name generator "namemaker" is now available on the PyPI. Install it with pip install namemaker, or check out the code here. It uses Markov chains to generate random names from training data.

Update: It's on the PyPI under the name "namemaker". You can install it with pip install namemaker or check out the code here.

More information about the update: https://github.com/libtcod/python-tcod/releases/tag/16.1.1

I'm currently writing another Python tutorial. I was hoping to have part-1 finished before this Sharing Saturday but it started while I'm still in the middle of updating the website. You can see the part-1 source I'm going with here and the resources I plan on using are organized here.

See this NumPy/SciPy cave generator for a performant example.

scipy.signal.convolve2d again, but used to count neighbors instead of masking them based on their direction. See this script for a cave generation example.

python-tcod | GitHub | Issues | Forum | Changelog | Documentation

The python-tcod repository is here. This is the full source of the Python port including all the C sources of libtcod which are included as a sub-module plus all the setup scripts invoked. Most source repos are linked from their PyPI package page.

I'll be asking you to install tcod from the sdl branch of its Git repository. I'd recommended cloning the repo but that isn't required. You just need to tell pip install where the experimental source is.

This is a known issue. Libtcod will fallback to the SDL2 renderer and will then run correctly, so this error only notes that the OpenGL renderers failed to initialize but won't prevent libtcod programs from running.

I found old bugs with similar issues (breaking on some sdl dependencies) on https://github.com/libtcod/python-tcod and filed an issue.

python-tcod | GitHub | Issues | Forum | Changelog | Documentation