内容简介
书名:Linear Algebra with Python: Theory and Applications出版社:Springer
作者:Makoto Tsukada, Yugi Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, Masato Noguchi
出版年份:2024
电子书格式: pdf
简介:Dive into the world of linear algebra with this comprehensive guide. Linear Algebra with Python: Theory and Applications expertly blends theoretical concepts with practical Python implementations. Ideal for students and professionals, this book covers a wide range of topics, from vectors and matrices to eigenvalues and eigenvectors. Learn through clear explanations, insightful examples, and hands-on Python exercises. Master linear algebra and unlock its power in various fields, including data science, machine learning, and computer graphics. This Springer publication offers a modern and practical approach to a fundamental subject.
ISBN:9789819929504, 97898
