@leriomaggio
|
vmaggio_at_fbk_dot_eu
|
(Consider this option only if your WiFi is stable)
If you don't want the hassle of getting setup, you can use the Binder service to participate in the live tutorial. Just click on the button below:
git clone https://github.com/leriomaggio/network-analysis-mscx18.git
This tutorial will use Python 3
This tutorial requires the following packages:
-
Python version 3.6
- Python 3.4+ should be fine as well
- likely Python 2.7 would be also fine, but who knows? :P
-
matplotlib==2.2.3 -
networkx==2.1 -
pandas==0.23.0 -
hiveplot==2017.10.17.21.7 -
nxviz==0.5.0 -
numpy==1.14.3 -
jupyter==1.0.0 -
scipy==1.1.0 -
python-louvain==0.11 -
bokeh==0.13.0
If you have the Anaconda distribution of Python 3 installed on a Unix-like machine (Linux, macOS, etc.), then run make conda, which wraps the commands below.
$ conda env create -f environment.yml$ source activate mscx$ python checkenv.py
If you do not have the Anaconda distribution, I would highly recommend getting it for
Windows, Mac or Linux. It provides an isolated Python computing environment
that will not interfere with your system Python installation, and comes with a very
awesome package manager (conda) that makes installation of new packages a single conda install pkgname away.
For those who do not have the capability of installing the Anaconda Python 3 distribution on their computers, please follow the instructions below.
Run make venv, which wraps up the commands below.
- Create a virtual environment for this tutorial, so that the installed packages do not mess with your regular Python environment.
$ pip install virtualenv$ virtualenv mscx$ source mscx/bin/activate$ pip install matplotlib networkx pandas hiveplot numpy jupyter
$ python checkenv.py
$ jupyter notebook
This material has been adapted from the tutorial Network Analysis Made Simple created by Eric Ma @ericmjl and Mridul Seth @MridulS. The original material can be found at: https://github.com/ericmjl/Network-Analysis-Made-Simple/.