Essential Linear Algebra Resources: A Curated Guide to Vectors, Matrices, and Python NumPy

This article compiles previous "Model Perspective" public‑account posts about linear algebra and notes that future summaries on probability, statistics, and calculus will be released.

Reference links to earlier model‑related articles include:

Model Summary (1) – Evaluation and Optimization Models

Model Summary (2) – Change and Prediction Models

Model Summary (3) – Explanation and Simulation Models

Linear algebra resources:

Mathematics Linear Algebra 01 – Vectors and Matrices

Mathematics Linear Algebra 02 – Systems of Equations and Gaussian Elimination

Mathematics Linear Algebra 03 – Matrix Properties and Common Matrices

Mathematics Linear Algebra 04 – Determinants

Mathematics Linear Algebra 05 – Matrix Exercises

Mathematics Linear Algebra 06 – Important Matrix Concepts

Mathematics Linear Algebra 07 – Solving Systems of Equations

Mathematics Linear Algebra 08 – Elementary Matrices and Transformations

Mathematics Linear Algebra 09 – Example Problems for Solving Systems

Mathematics Linear Algebra 10 – Linear Dependence and Independence

Mathematics Linear Algebra 11 – Vector Spaces

Python programming content related to linear algebra:

Programming Python Third‑Party Library NumPy

Programming Python Third‑Party Library NumPy – 02 Underlying Mechanisms of Common Functions