Python for Engineering and Scientific Computing (Paperback)

Veit Steinkamp

ISBN 10: 1493225596 / ISBN 13: 9781493225590

Verlag: Rheinwerk Publishing Inc., Maryland, 2024

Beschreibung

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 UK warehouse or from our Australian or US warehouses, depending on stock availability.

Bestandsnummer des Verkäufers 9781493225590

Bibliografische Details

• Titel: Python for Engineering and Scientific Computing (Paperback)
• Verlag: Rheinwerk Publishing Inc., Maryland
• Erscheinungsjahr: 2024
• Sprache: Englisch
• ISBN-10: 1493225596
• ISBN-13: 9781493225590
• Einband: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

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