Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
python
data-science
jupyter
matrix
linear-algebra
mathematics
data-visualization
data-analysis
eigenvectors
computational-science
vector-space
matrix-calculations
eigenvalues
singular-value-decomposition
diagonalization
gram-schmidt
linear-transformations
null-space
symmetric-matrices
multivariate-normal-distribution
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Updated
Mar 23, 2022 - Jupyter Notebook