🔵 New Python library to download &analyze street networks from #OpenStreetMap
#Python
http://urbandemographics.blogspot.co.uk/2016/11/python-links.html?m=1
#Python
http://urbandemographics.blogspot.co.uk/2016/11/python-links.html?m=1
urbandemographics.blogspot.co.uk
Python Links
An overview of data science in Python PySAL: a Python library for spatial analysis , great collaborative by Serge Rey and Dani Arribas...
🔹 Introduction to network analysis in #Python notebook using #igraph.
#homophily #weakties #contagion #clustering
https://github.com/vtraag/4TU-CSS/blob/master/presentations/traag/notebook/Network.ipynb
#homophily #weakties #contagion #clustering
https://github.com/vtraag/4TU-CSS/blob/master/presentations/traag/notebook/Network.ipynb
GitHub
vtraag/4TU-CSS
Material for a Computational Social Science (CSS) Workshop hosted by the four Dutch technical universities. - vtraag/4TU-CSS
🖥 NetworkX 2.0 released - #python package for the creation, manipulation & analysis of networks:
http://networkx.readthedocs.io/en/latest/release/release_dev.html
http://networkx.readthedocs.io/en/latest/release/release_dev.html
Complex Systems Studies
Photo
Awesome set of #DataScience #MachineLearning graphics from #100DaysOfMLCode:
🔗 https://t.co/BQpyn75uQ6
#BigData #DataScientists #Algorithms #Coding #Python
🔗 https://t.co/BQpyn75uQ6
#BigData #DataScientists #Algorithms #Coding #Python
GitHub
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding. Contribute to Avik-Jain/100-Days-Of-ML-Code development by creating an account on GitHub.
🌀 #EpidemicsOnNetworks v1.0 is out.
Open source #Python software for disease spread in #ContactNetworks:
~ Handles Markovian and non-Markovian SIS/SIR simulations and many ODE models.
~ Comes with tools for visualizing simulations.
🔥 Try it:
🔗 http://epidemicsonnetworks.readthedocs.io/en/latest/
Open source #Python software for disease spread in #ContactNetworks:
~ Handles Markovian and non-Markovian SIS/SIR simulations and many ODE models.
~ Comes with tools for visualizing simulations.
🔥 Try it:
pip install EoN🔗 http://epidemicsonnetworks.readthedocs.io/en/latest/
Why Excel Users Should Learn Python : https://t.co/XwF1IbqYy0 #abdsc #BigData #Analytics #DataScientists #Coding
So, check out this "Complete Tutorial To Learn #DataScience With #Python From Scratch": https://t.co/PfQ5gfcke5 #MachineLearning #AI #Algorithms
So, check out this "Complete Tutorial To Learn #DataScience With #Python From Scratch": https://t.co/PfQ5gfcke5 #MachineLearning #AI #Algorithms
new&improved: webweb makes interactive networks in your browser, directly from #networkx, #python, and #matlab. It's lightweight, and useful for exploring data or making pub-quality figures. Now faster, with pip support, and save-to-svg button. Demo+Docs > https://t.co/m3jMfYSFaA
🌀 Machine learning is a great tool to solve problems, but how does it compare to traditional mathematical modelling? Does one win out or is there a way to combine the two?
https://andrewmellor.co.uk/blog/articles/2019/05/09/machine-learning/
#machinelearning #mathematics #datascience #pytorch #python #collab
https://andrewmellor.co.uk/blog/articles/2019/05/09/machine-learning/
#machinelearning #mathematics #datascience #pytorch #python #collab
Andrew Mellor
Machine Learning and Mathematics: Collaborators or Competitors?
So just where does machine learning fit in to the scientific world? And are we eventually going to have to resort to such methods to make progress in modelling if mathematical models cannot keep up? I'd like to argue that machine learning and mathematical…
A #Python library that helps data scientists to infer causation rather than observing correlation. #causality
https://causalnex.readthedocs.io/en/latest/
https://causalnex.readthedocs.io/en/latest/