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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 stars4,648Highest2,579
7-day net stars——
Fork1,600Highest616
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2018-05-082024-09-05
Maintenance notesNot verifiedNot verified
Repository created2017-10-222020-06-01
License & use
LicenseLicense not declaredMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysisData 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
LanguageJupyter NotebookJupyter Notebook
About this projectUsing Python for Data Analysis Second Edition (2017) Chinese Translation NotesLecture 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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