The discussion focuses on finding gentle, introductory linear algebra (LA) books suitable for those with minimal mathematical background, particularly for applications in computational neuroscience. Paul Shields' "Elementary Linear Algebra" is highly recommended for its clarity, intuitive explanations, and practical applications, although it is noted that it primarily covers up to R^3 and may lack rigorous proofs. Other suggested texts include Anton and Lay, with some critiques about their complexity and clarity. The conversation highlights the importance of understanding foundational concepts and proofs in mathematics, suggesting that readers should consider supplementary books on mathematical proofs to enhance their comprehension. Shields' book is noted for being accessible, requiring only basic algebra, while Strang's book is criticized for being verbose and less engaging. The discussion also touches on the legitimacy of purchasing from various online sources and the potential for moving on to more advanced texts like Axler after mastering Shields. Overall, the emphasis is on finding resources that balance intuition and rigor for beginners in linear algebra.