# visualize-ml/linear-algebra-made-easy---learn-with-python-and-visualization **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/visualize-ml-linear-algebra-made-easy-learn-with-python-and-visualization).** _How this analysis was created: the description and tags below were written by an AI model that read this project's README and public documentation pages; stars, license and language come straight from the GitHub API. The model does not read the source code._ 3,633 stars · 658 forks · Jupyter Notebook ## Links - GitHub: https://github.com/Visualize-ML/Linear-Algebra-Made-Easy---Learn-with-Python-and-Visualization - Homepage: https://www.youtube.com/@DrGinger_Jiang - awesome-repositories: https://awesome-repositories.com/repository/visualize-ml-linear-algebra-made-easy-learn-with-python-and-visualization.md ## Topics `data-science` `data-visualization` `linear-algebra` `machine-learning` `python` `visualization` ## Description This is a linear algebra course that teaches through Python code and visualization. It is a two-volume textbook of 66 topics, published as PDF chapters, with Jupyter notebooks that pair each mathematical idea with a short script and plot. Topics include vectors, coordinate systems, norms, projection, and matrices. Each topic is a short, self-contained chapter, so readers can study them independently or work through them in order from foundational to more advanced material. The notebooks let learners change inputs and watch the results and diagrams update. Separate slide decks condense each topic into key visual points, for review or classroom teaching. All chapters and slides come in matching Chinese and English editions with the same structure, so learners can switch languages without losing their place. The material covers the linear algebra background used in data analysis and machine learning, and it is suited to self-paced study or lecture preparation. The PDF chapters need no software installation to read. ## Tags ### Education & Learning Resources - [Jupyter Notebook Curricula](https://awesome-repositories.com/f/education-learning-resources/jupyter-notebook-curricula.md) — Provides interactive Jupyter notebooks where learners run code and view plots to explore linear algebra concepts step by step. - [Linear Algebra Textbooks](https://awesome-repositories.com/f/education-learning-resources/linear-algebra-textbooks.md) — Provides a two-volume, 66-topic linear algebra textbook as PDF chapters covering vectors, norms, projection, and matrices. - [Interactive Notebook Learning Resources](https://awesome-repositories.com/f/education-learning-resources/interactive-notebook-learning-resources.md) — Provides Jupyter notebooks where cells combine Python code and plots so learners can see and experiment with each linear algebra concept. ([source](https://github.com/visualize-ml/linear-algebra-made-easy---learn-with-python-and-visualization#readme)) - [Bilingual](https://awesome-repositories.com/f/education-learning-resources/developer-documentation-references/knowledge-bases/technical-references/bilingual.md) — Offers matching Chinese and English textbook chapters and slide decks so language does not block understanding of mathematics. - [Modular Chapter Structures](https://awesome-repositories.com/f/education-learning-resources/educational-courses/modular-structuring/modular-chapter-structures.md) — Splits the textbook into many short self-contained chapters, one per topic, readable independently or in sequence. - [Notebook-Based Lessons](https://awesome-repositories.com/f/education-learning-resources/educational-lessons/progressive-lesson-series/notebook-based-lessons.md) — Delivers each lesson as a runnable notebook with code cells and inline plots beside explanatory text. - [Lecture Slide Decks](https://awesome-repositories.com/f/education-learning-resources/lecture-slide-decks.md) — Supplies ready-made slide decks summarizing each linear algebra topic, saving instructors time when planning lessons or presenting. - [Linear Algebra Slide Decks](https://awesome-repositories.com/f/education-learning-resources/machine-learning-lectures/nlp-lecture-slides/linear-algebra-slide-decks.md) — Ships separate slide decks that condense each linear algebra topic into key visual points for review or classroom teaching. - [Self-Paced Learning](https://awesome-repositories.com/f/education-learning-resources/self-paced-learning.md) — Supports working through short chapters of a two-volume textbook at one's own pace, from foundational to advanced topics. - [Data Science Foundations](https://awesome-repositories.com/f/education-learning-resources/technical-foundation-reviews/data-science-foundations.md) — Builds the linear algebra background of norms, projections, and matrix operations needed for data analysis and machine learning. ### Part of an Awesome List - [Linear Algebra](https://awesome-repositories.com/f/awesome-lists/learning/linear-algebra.md) — Teaches vectors, coordinate systems, norms, projection, and matrices through a two-volume textbook of 66 PDF chapters. ([source](https://github.com/visualize-ml/linear-algebra-made-easy---learn-with-python-and-visualization#readme)) - [Concept-Diagram Pairings](https://awesome-repositories.com/f/awesome-lists/devtools/visualization-and-diagrams/mathematical-notation-diagramming/concept-diagram-pairings.md) — Pairs each mathematical idea with a short script and diagram so abstract symbols become visible geometry learners can inspect. ### Scientific & Mathematical Computing - [Linear Algebra Visualizations](https://awesome-repositories.com/f/scientific-mathematical-computing/linear-algebra-visualizations.md) — Teaches linear algebra by pairing each idea with a short Python script that draws it as a plot or diagram. ### Development Tools & Productivity - [Notebook-Based Experimentation](https://awesome-repositories.com/f/development-tools-productivity/interactive-execution-interfaces/interactive-execution-environments/notebook-based-experimentation.md) — Lets learners run small experiments in Jupyter notebooks, change inputs, and watch linear algebra results and plots update. ### User Interface & Experience - [Instructional Slide Decks](https://awesome-repositories.com/f/user-interface-experience/presentation-frameworks/slide-management-configuration/slide-content-authoring/presentation-decks/markdown-to-slide-decks/file-based-slide-collections/instructional-slide-decks.md) — Offers separate slide decks that condense each topic into key visual points for review and classroom teaching.