Introduction to kinetic Monte Carlo (kMC) Simulations with Examples in Jupyter Notebooks
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Updated
Aug 14, 2019 - Jupyter Notebook
Introduction to kinetic Monte Carlo (kMC) Simulations with Examples in Jupyter Notebooks
Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.
📓 "An Introduction to Time Series Analysis with R" is a text which is currently under development and aims at giving readers a general overview of the main aspects that characterise time series and the most common tools used for their analysis.
Python code (Jupyter notebooks) used in the lecture "Mathematics of Machine Learning".
Programs, scripts, and notebooks created for my summer research project at McGill for the Brunner Neutrino Lab
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