GitHub / weijie-chen / Linear-Algebra-With-Python
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the 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.
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Stars: 2,428
Forks: 589
Open issues: 2
License: mit
Language: Jupyter Notebook
Size: 19.6 MB
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Created at: about 5 years ago
Updated at: about 1 month ago
Pushed at: 10 months ago
Last synced at: about 1 month ago
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Commits: 195
Authors: 6
Mean commits per author: 32.5
Development Distribution Score: 0.544
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Topics: computational-science, data-analysis, data-science, data-visualization, diagonalization, eigenvalues, eigenvectors, gram-schmidt, jupyter, linear-algebra, linear-transformations, mathematics, matrix, matrix-calculations, multivariate-normal-distribution, null-space, python, singular-value-decomposition, symmetric-matrices, vector-space