Back to rankings

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.

Repository stars
2,579All-time #18,902
Fork
616
Last push
updated 2 years ago
Repository created
since 2020
Guides & collectionsBooks & reference materialJupyter NotebookMIT · Permissive
View source

About

Summarised by AI from the README; the original prevails

Author description: 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.

Basic listing based on official public information; functionality has not been independently evaluated.

Check before adopting

  • No pushes for over 6 months (last 2024-09-05); check whether it is maintained.
Platform
Not verified
Pricing
Pricing not verifiedCheck current official software, hosting, model and infrastructure pricing.
Maintenance notes
Not verified

Star trend

Includes values estimated from GitHub history
2,5702,5752,57910-0710-1210-1710-2210-2711-0111-05

First collected 2026-11-03Measured at 2026-11-02 19:00 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.