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WLinear-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.
Popularity
Repository stars4,407Highest2,579
7-day net stars——
Fork629Highest616
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2025-12-062024-09-05
Maintenance notesNot verifiedNot verified
Repository created2022-04-172020-06-01
License & use
LicenseMIT · PermissiveMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysis · Data visualization · Reference materialData analysis · Data visualization
TypeGuides & collectionsGuides & collections
SubcategoryBooks & reference materialBooks & reference material
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
Language—Jupyter Notebook
About this projectData Science Roadmap from A to ZLecture 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.
Measured at2026-11-02 19:00 UTC2026-11-02 19:00 UTC
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