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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
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typing python3 -V, and if that does not work try python30 -V, and failing that try python31 -V If any of these work you now know that you already have Python installed, what version it is, and what it is called (In this book we use the name python3, but use whatever name worked for you, for example, python31) If you don t have any version of Python 3 installed, read on For Windows and Mac OS X, easy-to-use graphical installer packages are provided that take you step-by-step through the installation process These are available from wwwpythonorg/download For Windows, download the Windows x86 MSI Installer , unless you know for sure that your machine has a different processor for which a separate installer is supplied for example, if you have an AMD64, get the Windows AMD64 MSI Installer Once you ve got the installer, just run it and follow the on-screen instructions For Linux, BSD, and other Unixes (apart from Mac OS X for which a dmg installation le is provided), the easiest way to install Python is to use your operating system s package management system In most cases Python is provided in several separate packages For example, in Ubuntu (from version 8), there is python30 for Python, idle-python30 for IDLE (a simple development environment), and python30-doc for the documentation as well as many other packages that provide add-ons for even more functionality than that provided by the standard library (Naturally, the package names will start with python31 for the Python 31 versions, and so on) If no Python 3 packages are available for your operating system you will need to download the source from wwwpythonorg/download and build Python from scratch Get either of the source tarballs and unpack it using tar xvfz Python-31tgz if you got the gzipped tarball or tar xvfj Python-31tarbz2 if you got the bzip2 tarball (The version numbers may be different, for example, Python-311tgz or Python-312tarbz2, in which case simply replace 31 with your actual version number throughout) The con guration and building are standard First, change into the newly created Python-31 directory and run /configure (You can use the --prefix option if you want to do a local install) Next, run make It is possible that you may get some messages at the end saying that not all modules could be built This normally means that you don t have some of the required libraries or headers on your machine For example, if the readline module could not be built, use the package management system to install the corresponding development library; for example, readline-devel on Fedorabased systems and readline-dev on Debian-based systems such as Ubuntu Another module that may not build straight away is the tkinter module this depends on both the Tcl and Tk development libraries, tcl-devel and tk-devel on Fedora-based systems, and tcl85-dev and tk85-dev on Debian-based systems (and where the minor version may not be 5) Unfortunately, the relevant package names are not always so obvious, so you might need to ask for help on
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