Linear Algebra with Python： Theory and Applications （Makoto Tsukada， Yugi Kobayashi， Hiroshi Kaneko， Sin-Ei Takahasi， Kiyoshi Shirayanagi， Masato Noguchi）（Springer 2024）

  • 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
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