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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

12.2.4 Overview – debug commands

In Table 12.2, the most common debug commands are shown. For a full listing and description of commands, see the documentation for more information [24]. Note that any Python command also works, for example, assigning values to variables.

If you want to inspect a variable with a name that coincides with any of the debugger's short commands, for example, h, you must use !h to display the variable.

Command

Action

h

Help (without arguments, it prints available commands)

l

Lists the code around the current line

q

Quit (exits the debugger and the execution stops)

c

Continues execution

r

Continues execution until the current function returns

n

Continues execution until the next line

p <expression>

Evaluates and prints the expression in the current context

Table 12.2: The most common debug commands for the debugger
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