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Scientific Data: A 50 Steps Guide Using Python
Scientific Data: A 50 Steps Guide Using Python
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This guide provides a solid understanding of how to understand experimental data within a natural scientific context while ensuring sustainable use of findings and processing as seen through a programmer's eye. The concise problem - solution - discussion structure used throughout supported by Python code snippets emphasizes the book's focus on practitioners.
  • Leidėjas:
  • ISBN-10: 3111334570
  • ISBN-13: 9783111334578
  • Formatas: 17 x 24.4 x 1.2 cm, minkšti viršeliai
  • Kalba: Anglų

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This guide provides a solid understanding of how to understand experimental data within a natural scientific context while ensuring sustainable use of findings and processing as seen through a programmer's eye. The concise problem - solution - discussion structure used throughout supported by Python code snippets emphasizes the book's focus on practitioners.

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  • Autorius: Matthias Hofmann
  • Leidėjas:
  • ISBN-10: 3111334570
  • ISBN-13: 9783111334578
  • Formatas: 17 x 24.4 x 1.2 cm, minkšti viršeliai
  • Kalba: Anglų

This guide provides a solid understanding of how to understand experimental data within a natural scientific context while ensuring sustainable use of findings and processing as seen through a programmer's eye. The concise problem - solution - discussion structure used throughout supported by Python code snippets emphasizes the book's focus on practitioners.

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