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Targeted at engineers and scientists, this guide offers a comprehensive introduction to Python, emphasizing essential development environments and key modules like NumPy and Matplotlib. It presents basic program structures and progressively challenging exercises, ensuring a solid learning curve. Topics include statistical calculations, Boolean algebra, and interactive programming with Tkinter, making it an invaluable resource for those looking to enhance their programming skills in scientific applications.
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Python for Engineering and Scientific Computing, Veit Steinkamp
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- 2024
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