The texts that I hate least (LA and I have a long and rocky relationship): - Coding the Matrix, Klein https://www.amazon.com/Coding-Matrix-Algebra-Applications

The texts that I hate least (LA and I have a long and rocky relationship): - Coding the Matrix, Klein https://www.amazon.com/Coding-Matrix-Algebra-Applications-Computer/dp/0615880991 https://www.amazon.com/Coding-Matrix-Algebra-Applications-Co... This has a strong emphasis on LA's utility in CS, and includes concepts outside traditional LA that enrich the narrative. - Intro to Linear Algebra, Strang https://www.amazon.com/Introduction-Linear-Algebra-Gilbert-Strang/dp/0961408898/ref=la_B001H6L6OK_1_9 https://www.amazon.com/Introduction-Linear-Algebra-Gilbert-S... Strang approaches LA from a practical less-theoretical angle, which makes it very sensible if you're an engineer but may not be as suitable if you're a mathematician. - Linear Algebra, A Modern Intro, Poole https://www.amazon.com/Linear-Algebra-Introduction-Available-CengageNOW/dp/0534998453/ref=sr_1_4 https://www.amazon.com/Linear-Algebra-Introduction-Available... This is a solid text that has worked out most of its bugs over the editions. - Linear Algebra and its Applications, Lay https://www.amazon.com/Linear-Algebra-Applications-Updated-CD-ROM/dp/0321287134/ref=pd_sim_14_16 https://www.amazon.com/Linear-Algebra-Applications-Updated-C... Like Poole, this is also a solid and long running text. The books by Klein and Strang also benefit from free videos of those courses that are available from Coursera/BrownU and MIT OCW. Klein's is also available on the Kindle.