Collaborative Calculation and Data Science

colby

sagemath

github

google

cornellcollege

depaul

This notebook provides an introduction to using Python for data analysis including storing and loading data, visualising data and performing regression analysis. Also download the Data folder here https://cocalc.com/share/public_paths/9b2872cc1e75acba6ebb8d9c5a1bf4a226ea55ba.

Jupyter notebook Project_IsingModel/Project_IsingModel.ipynb

Images of functions, derivatives and series approx

Jupyter notebook 2017-2018/Assignments/Week9/Exercises16_18.ipynb

Jupyter html version of 2017-2018/Assignments/Week9/Exercises16_18.ipynb

Jupyter html version of IsingModel/RandomWalk.ipynb

Jupyter html version of Project_IsingModel/Project_IsingModel.ipynb

Jupyter html version of Project_HarmonicSystems/2017-03-23-151618.ipynb

Jupyter notebook Project_HarmonicSystems/2017-03-23-151618.ipynb

Jupyter notebook coursenotes/Topic2/Topic2.ipynb

Jupyter html version of coursenotes/Topic8/Topic8.ipynb

Jupyter html version of coursenotes/Topic2/Topic2.ipynb

Jupyter notebook coursenotes/Topic8/Topic8.ipynb

here is the file modified to only contain the data we want

Jupyter html version of coursenotes/Project1/Project1.ipynb

Jupyter html version of Project_IsingModel/Code/Ising2D.ipynb

Jupyter notebook Project_IsingModel/Code/Ising2D.ipynb

Jupyter html version of HarmonicMotionV1.ipynb

Mark Quinn

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