1 .. _tut-whatnow: 2 3 ********* 4 What Now? 5 ********* 6 7 Reading this tutorial has probably reinforced your interest in using Python --- 8 you should be eager to apply Python to solving your real-world problems. Where 9 should you go to learn more? 10 11 This tutorial is part of Python's documentation set. Some other documents in 12 the set are: 13 14 * :ref:`library-index`: 15 16 You should browse through this manual, which gives complete (though terse) 17 reference material about types, functions, and the modules in the standard 18 library. The standard Python distribution includes a *lot* of additional code. 19 There are modules to read Unix mailboxes, retrieve documents via HTTP, generate 20 random numbers, parse command-line options, write CGI programs, compress data, 21 and many other tasks. Skimming through the Library Reference will give you an 22 idea of what's available. 23 24 * :ref:`installing-index` explains how to install additional modules written 25 by other Python users. 26 27 * :ref:`reference-index`: A detailed explanation of Python's syntax and 28 semantics. It's heavy reading, but is useful as a complete guide to the 29 language itself. 30 31 More Python resources: 32 33 * https://www.python.org: The major Python Web site. It contains code, 34 documentation, and pointers to Python-related pages around the Web. This Web 35 site is mirrored in various places around the world, such as Europe, Japan, and 36 Australia; a mirror may be faster than the main site, depending on your 37 geographical location. 38 39 * https://docs.python.org: Fast access to Python's documentation. 40 41 * https://pypi.org: The Python Package Index, previously also nicknamed 42 the Cheese Shop, is an index of user-created Python modules that are available 43 for download. Once you begin releasing code, you can register it here so that 44 others can find it. 45 46 * https://code.activestate.com/recipes/langs/python/: The Python Cookbook is a 47 sizable collection of code examples, larger modules, and useful scripts. 48 Particularly notable contributions are collected in a book also titled Python 49 Cookbook (O'Reilly & Associates, ISBN 0-596-00797-3.) 50 51 * http://www.pyvideo.org collects links to Python-related videos from 52 conferences and user-group meetings. 53 54 * https://scipy.org: The Scientific Python project includes modules for fast 55 array computations and manipulations plus a host of packages for such 56 things as linear algebra, Fourier transforms, non-linear solvers, 57 random number distributions, statistical analysis and the like. 58 59 For Python-related questions and problem reports, you can post to the newsgroup 60 :newsgroup:`comp.lang.python`, or send them to the mailing list at 61 python-list (a] python.org. The newsgroup and mailing list are gatewayed, so 62 messages posted to one will automatically be forwarded to the other. There are 63 hundreds of postings a day, asking (and 64 answering) questions, suggesting new features, and announcing new modules. 65 Mailing list archives are available at https://mail.python.org/pipermail/. 66 67 Before posting, be sure to check the list of 68 :ref:`Frequently Asked Questions <faq-index>` (also called the FAQ). The 69 FAQ answers many of the questions that come up again and again, and may 70 already contain the solution for your problem. 71
