Python for Engineering and Scientific Computing (Paperback)

Veit Steinkamp

ISBN 10: 1493225596 / ISBN 13: 9781493225590

Editore: Rheinwerk Publishing Inc., Maryland, 2024

Riguardo questo articolo

Paperback. 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 structures2) NumPy3) Matplotlib4) SymPy5) SciPy6) VPython7) Tkinter8) Numerical calculations9) Statistical calculations10) Boolean algebra Its 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 youll need: NumPy, SymPy, SciPy, Matplotlib, and VPython. Understand basic Python program structures and walk through practical exercises. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9781493225590

Dati bibliografici

Titolo: Python for Engineering and Scientific ...

Casa editrice: Rheinwerk Publishing Inc., Maryland

Data di pubblicazione: 2024

Legatura: Paperback

Condizione: new

Descrizione articolo

Riassunto:

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