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： epub
  • 简介：Linear Algebra with Python: Theory and Applications provides a comprehensive guide to linear algebra concepts and their practical applications using Python. This Springer textbook delves into theoretical foundations while offering hands-on Python code examples for effective learning. Ideal for students and professionals in data science, machine learning, and engineering, it covers topics such as vectors, matrices, eigenvalues, and linear transformations, with a focus on computational methods and real-world problem-solving. Master linear algebra with Python’s power – improve your analytical skills and build practical applications.
  • ISBN：9789819929504, 97898
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