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  • - High-performance scientific computing with NumPy, SciPy, and pandas
    af Claus Fuhrer, Jan Erik Solem & Olivier Verdier
    435,95 kr.

    Python is an efficient tool for coupling scientific computing and mathematics. This book teaches you how to use it for linear algebra, arrays, plotting, iterating, functions, and polynomials. You'll explore task automation and understand essential math concepts and algorithms along with integrations for faster computation in scientific computing.

  • af Claus Fuhrer, Jan Erik Solem & Olivier Verdier
    573,95 kr.

    Explore how Python can be applied in scientific computing in Scientific Computing with Python 3. You'll understand how to implement mathematics with Python, while covering key concepts, useful examples, and expert techniques.