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This chapter showed the most widely used techniques for saving and loading collections of data to and from les We have seen how easy pickles are to use, and how we can handle both compressed and uncompressed les without knowing in advance whether compression has been used We saw how writing and reading binary data requires care, and saw that the code can be quite long if we need to handle variable length strings But we also learned that using binary les usually results in the smallest possible le sizes and the fastest writing and reading times We learned too that it is important to use a magic number to identify our le type and to use a version number to make it practical to change the format later on In this chapter we saw that plain text is the easiest format for users to read and that if the data is structured well it can be straightforward for additional tools to be created to manipulate the data However, parsing text data can be tricky We saw how to read text data both manually and using regular expressions XML is a very popular data interchange format and it is generally useful to be able to at least import and export XML even when the normal format is a binary or text one We saw how to write XML manually including how to correctly escape attribute values and textual data and how to write it using an element tree and a DOM We also learned how to parse XML using the element tree, DOM, and SAX parsers that Python s standard library provides

With this change the client now receives the member back from the server Given that this behavior would be an expected result in a serviceoriented architecture, you probably should implement interface on all data contracts as a best practice

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In the chapter s nal section we saw how to create a generic class to handle random access binary les that hold records of a xed size, and then how to use the generic class in a speci c context This chapter brings us to the end of all the fundamentals of Python programming It is possible to stop reading right here and to write perfectly good Python programs based on everything you have learned so far But it would be a shame to stop now Python has so much more to offer, from neat techniques that can shorten and simplify code, to some mind-bending advanced facilities that are at least nice to know about, even if they are not often needed In the next chapter we will go further with procedural and object-oriented programming, and we will also get a taste of functional programming Then, in the following chapters we will focus more on broader programming techniques including threading, networking, database programming, regular expressions, and GUI (Graphical User Interface) programming

The rst exercise is to create a simpler binary record le module than the one presented in this chapter one whose record size is exactly the same as what the user speci es The second exercise is to modify the BikeStock module to use your new binary record le module The third exercise asks you to create a program from scratch the le handling is quite straightforward, but some of the output formatting is rather challenging 1 Make a new, simpler version of the BinaryRecordFile module one that does not use a state byte For this version the record size speci ed by the user is the record size actually used New records must be added using a new append() method that simply moves the le pointer to the end and writes the given record The __setitem__() method should only allow existing records to be replaced; one easy way of doing this is to use the __seek_to_index() method With no state byte, __getitem__() is reduced to a mere three lines The __delitem__() method will need to be completely rewritten since it must move all the records up to ll the gap; this can be done in just over half a dozen lines, but does require some thought The undelete() method must be removed since it is not supported, and the compact() and inplace_compact() methods must be removed because they are no longer needed All told, the changes amount to fewer than 20 new or changed lines and at least 60 deleted lines compared with the original, and not counting doctests A solution is provided in BinaryRecordFile_anspy 2 Once you are con dent that your simpler BinaryRecordFile class works, copy the BikeStockpy le and modify it to work with your BinaryRecordFile

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