This is the python module for TINC. It can be used standalone, or in conjunction with a C++ application written with TINC to provide a TINC server:
https://github.com/AlloSphere-Research-Group/tinc
tinc-python depends on numpy, matplotlib, netcdf4, filelock and jsonschema. If ipywidgets is available, tinc-python can provide interactive widgets for the jupyter notebook.
To tinc for python:
pip install tinc
To install ipywidgets for jupyter widget support:
pip install ipywidgets
The TINC python documentation is available at: https://tinc-python.readthedocs.io/en/latest/
A set pf tutorials for tinc-python can be found in the documentation.
Try out TINC:
https://colab.research.google.com/drive/1jjJhJHVvunEOXf3bUHmLNVMm_cKqls26?usp=sharing
There are many ways to install jupyterlab. Here is one we have tested to work with TINC.
brew install jupyterlab
When brew installs jupyter lab and installs python3.8, it mentions it is keg only, so need to follow brew's instructions:
Python has been installed as /usr/local/opt/python@3.8/bin/python3
You can install Python packages with /usr/local/opt/python@3.8/bin/pip3 install <package>
They will install into the site-package directory
/usr/local/opt/python@3.8/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages
See: https://docs.brew.sh/Homebrew-and-Python
python@3.8 is keg-only, which means it was not symlinked into /usr/local,
because this is an alternate version of another formula.
If you need to have python@3.8 first in your PATH run:
echo 'export PATH="/usr/local/opt/python@3.8/bin:$PATH"' >> /Users/cannedstar/.bash_profile
For compilers to find python@3.8 you may need to set:
export LDFLAGS="-L/usr/local/opt/python@3.8/lib"
For pkg-config to find python@3.8 you may need to set:
export PKG_CONFIG_PATH="/usr/local/opt/python@3.8/lib/pkgconfig"
To install additional dependencies for tinc-python for the jupyter python:
/usr/local/opt/python@3.8/bin/pip3 install filelock matplotlib ipywidgets