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Scientific Computing with Python

Scientific Computing with Python

By : Führer, Claus Fuhrer, Solem, Verdier
4.5 (15)
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Scientific Computing with Python

Scientific Computing with Python

4.5 (15)
By: Führer, Claus Fuhrer, Solem, Verdier

Overview of this book

Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python. This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations. By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing.
Table of Contents (23 chapters)
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About Packt
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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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