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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
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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

9.1 The for statement

The primary aim of the for statement is to traverse a list, that is, to apply the same sequence of commands to each element of a given list:

for s in ['a', 'b', 'c']:
    print(s) # a b c

In this example, the loop variable, s, is successively assigned to one element of the list. Notice that the loop variable is available after the loop has terminated. This may sometimes be useful; see, for instance, the example in Section 9.2: Controlling the flow inside the loop.

One of the most frequent uses of a for loop is to repeat, that is, to apply the same sequence of commands to each element of a given list: a given task a defined number of times, using the function range, see Section 1.3.1: Lists.

for iteration in range(n): # repeat the following code n times
    ...

If the purpose of a loop is to go through a list, many languages (including Python) offer the following pattern:

for...
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