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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.

awesome-data-analysis

🚀 500+ curated resources for Data Analysis & Data Science: Python, SQL, Statistics, ML, AI, Visualization, Cheatsheets, Roadmaps, Interview Prep. For beginners and experts.

Popularity
Repository stars2,579Highest2,160
7-day net stars——
Fork616Highest322
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2024-09-052026-11-01
Maintenance notesNot verifiedNot verified
Repository created2020-06-012025-07-30
License & use
LicenseMIT · PermissiveCC0-1.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysis · Data visualizationAwesome lists · Data analysis · Data visualization · Tutorials
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
LanguageJupyter Notebook—
About this projectLecture 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.🚀 500+ curated resources for Data Analysis & Data Science: Python, SQL, Statistics, ML, AI, Visualization, Cheatsheets, Roadmaps, Interview Prep. For beginners and experts.
Measured at2026-11-02 19:00 UTC2026-11-02 19:00 UTC

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