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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
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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

9.2 Controlling the flow inside the loop

Sometimes it is necessary to jump out of the loop or to go directly to the next loop iteration. These two operations are performed by the commands break and continue.  

The keyword break is used to terminate the loop before it is completely executed—it breaks the loop.

Two situations can occur in loops with a break statement:

  • The loop is completely executed.
  • The loop is left when reaching break before it was completely executed.

For the first case, special actions can be defined in an else block, which is executed if the whole list is traversed. This is useful in general if the purpose of the for loop is to find something and stop. Examples might be searching for one element satisfying a certain property inside a list. If such an element is not found, the else block is executed.

Here is a common usage in scientific computing: Quite...

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