76,85 €
85,39 €
-10% with code: EXTRA
Python for Engineering and Scientific Computing
Python for Engineering and Scientific Computing
76,85
85,39 €
  • We will send in 10–14 business days.
It's finally here--your guide to Python for engineers and scientists, by an engineer and scientist! Get to know your development environments and the key Python modules you'll need: NumPy, SymPy, SciPy, Matplotlib, and VPython. Understand basic Python program structures and walk through practical exercises that start simple and increase in complexity as you work your way through the book. With information on statistical calculations, Boolean algebra, and interactive programming with Tkinter, th…
85.39
  • Publisher:
  • ISBN-10: 1493225596
  • ISBN-13: 9781493225590
  • Format: 17.8 x 25.2 x 2.8 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Python for Engineering and Scientific Computing (e-book) (used book) | bookbook.eu

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It's finally here--your guide to Python for engineers and scientists, by an engineer and scientist! Get to know your development environments and the key Python modules you'll need: NumPy, SymPy, SciPy, Matplotlib, and VPython. Understand basic Python program structures and walk through practical exercises that start simple and increase in complexity as you work your way through the book. With information on statistical calculations, Boolean algebra, and interactive programming with Tkinter, this Python guide belongs on every scientist's shelf!

Highlights include:

1) Program structures
2) NumPy
3) Matplotlib
4) SymPy
5) SciPy
6) VPython
7) Tkinter
8) Numerical calculations
9) Statistical calculations
10) Boolean algebra

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85,39 €
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  • Author: Veit Steinkamp
  • Publisher:
  • ISBN-10: 1493225596
  • ISBN-13: 9781493225590
  • Format: 17.8 x 25.2 x 2.8 cm, minkšti viršeliai
  • Language: English English

It's finally here--your guide to Python for engineers and scientists, by an engineer and scientist! Get to know your development environments and the key Python modules you'll need: NumPy, SymPy, SciPy, Matplotlib, and VPython. Understand basic Python program structures and walk through practical exercises that start simple and increase in complexity as you work your way through the book. With information on statistical calculations, Boolean algebra, and interactive programming with Tkinter, this Python guide belongs on every scientist's shelf!

Highlights include:

1) Program structures
2) NumPy
3) Matplotlib
4) SymPy
5) SciPy
6) VPython
7) Tkinter
8) Numerical calculations
9) Statistical calculations
10) Boolean algebra

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