This chapter extends the overview of Python functionality in Chapter 3. Miscellaneous topics like modules for parsing command-line arguments and how to generate Python code at run time are discussed in Chapter 8.1. The comprehensive Chapter 8.2 is devoted to regular expressions for interpreting and editing text. Lots of tools for storing and retrieving data in files are covered in Chapter 8.3, while Chapter 8.4 explores compact file storage of numerical data represented as NumPy arrays. Chapter 8.5 outlines methods for working with a local and a remote host when doing tasks like simulation and visualization. Chapter 8.6 treats numerous topics related to class programming. Chapter 8.7 discusses scope of variables. Error handling via exceptions is described in Chapter 8.8. Extending for loops to iterate over user-defined data structures via Python iterators is the subject of Chapter 8.9. Finally, in Chapter 8.10 we present methods for investigating the efficiency of a script and provide some advice on optimizing Python codes.
Readers who are interested in more advanced Python material are highly recommended to read the “Python Cookbook” [23].
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© 2009 Springer-Verlag Berlin Heidelberg
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(2009). Advanced Python. In: Langtangen, H.P. (eds) Python Scripting for Computational Science. Texts in Computational Science and Engineering, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73916-6_8
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