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Scientific Computing with Python

You're reading from   Scientific Computing with Python High-performance scientific computing with NumPy, SciPy, and pandas

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781838822323
Length 392 pages
Edition 2nd Edition
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Authors (4):
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Olivier Verdier Olivier Verdier
Author Profile Icon Olivier Verdier
Olivier Verdier
Jan Erik Solem Jan Erik Solem
Author Profile Icon Jan Erik Solem
Jan Erik Solem
Claus Führer Claus Führer
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Claus Führer
Claus Fuhrer Claus Fuhrer
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Claus Fuhrer
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Table of Contents (23) Chapters Close

Preface 1. Getting Started 2. Variables and Basic Types FREE CHAPTER 3. Container Types 4. Linear Algebra - Arrays 5. Advanced Array Concepts 6. Plotting 7. Functions 8. Classes 9. Iterating 10. Series and Dataframes - Working with Pandas 11. Communication by a Graphical User Interface 12. Error and Exception Handling 13. Namespaces, Scopes, and Modules 14. Input and Output 15. Testing 16. Symbolic Computations - SymPy 17. Interacting with the Operating System 18. Python for Parallel Computing 19. Comprehensive Examples 20. About Packt 21. Other Books You May Enjoy 22. References

11.1 A guiding example to widgets

In this section, we present the basic components11.1 A guiding example to widgets of a widget and their counterparts in Python. We do this by using the guiding example displayed in the following figure:

Figure 11.1: A widget to display  for user-given frequencies

In this figure, we see a slider bar at the top. With the use of a computer mouse, the blue bar can be moved from left to right and the value for , ranging between 1 and 5, is displayed on the right of the bar.

Correspondingly, the frequency of the sine wave displayed in the plot window changes.

This widget consists of three parts:

  • A figure object with an axes object and the plot
  • An axes object containing a slider object
  • A call-back function for updating the plot as soon as the slider value changes

We discussed how to program the first part, in Section 6.2: Working with Matplotlib objects directly.

In the following code snippet, we first create a figure with a given size and...

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