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built on procedural foundations for example, making use of the same data types, collection data types, and control structures 7 covers writing and reading les For binary les, the coverage includes compression and random access, and for text les, the coverage includes parsing manually and with regular expressions This chapter also shows how to write and read XML les, including using element trees, DOM (Document Object Model), and SAX (Simple API for XML) 8 revisits material covered in some earlier chapters, exploring many of Python s more advanced features in the areas of data types and collection data types, control structures, functions, and object-oriented programming This chapter also introduces many new functions, classes, and advanced techniques, including functional-style programming and the use of coroutines the material it covers is both challenging and rewarding 9 is different from all the other chapters in that it discusses techniques and libraries for debugging, testing, and pro ling programs, rather than introducing new Python features The remaining chapters cover various advanced topics 10 shows techniques for spreading a program s workload over multiple processes and over multiple threads 11 shows how to write client/server applications using Python s standard networking support 12 covers database programming (both simple key value DBM les and SQL databases) 13 explains and illustrates Python s regular expression mini-language and covers the regular expressions module 14 follows on from the regular expressions chapter by showing basic parsing techniques using regular expressions, and also using two third-party modules, PyParsing and PLY Finally, 15 introduces GUI (Graphical User Interface) programming using the tkinter module that is part of Python s standard library In addition, the book has a very brief epilogue, a selected bibliography, and of course, an index Most of the book s chapters are quite long to keep all the related material together in one place for ease of reference However, the chapters are broken down into sections, subsections, and sometimes subsubsections, so it is easy to read at a pace that suits you; for example, by reading one section or subsection at a time Obtaining and Installing Python 3 If you have a modern and up-to-date Mac or other Unix-like system you may already have Python 3 installed You can check by typing python -V (note the capital V) in a console (Terminalapp on Mac OS X) if the version is 3x you ve already got Python 3 and don t have to install it yourself If Python wasn t found at all it may be that it has a name which includes a version number Try.

the source for a compilation unit ( 73) that contains the de nition of a class or interface whose binary compiled form is contained in the corresponding class le Under this simple organization of packages, an implementation of the Java platform would transform a package name into a pathname by concatenating the components of the package name, placing a le name separator (directory indicator) between adjacent components For example, if this simple organization were used on a UNIX system, where the le name separator is /, the package name:

netscapesecurityPrivilegeManagerenablePrivilege("UniversalConnect");

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722 Storing Packages in a Database A host system may store packages and their compilation units and subpackages in a database Such a database must not impose the optional restrictions ( 76) on compilation units in le-based implementations For example, a system that uses a database to store packages may not enforce a maximum of one public class or interface per compilation unit Systems that use a database must, however, provide an option to convert a program to a form that obeys the restrictions, for purposes of export to le-based implementations

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