1.. _tut-whatnow:
2
3*********
4What Now?
5*********
6
7Reading this tutorial has probably reinforced your interest in using Python ---
8you should be eager to apply Python to solving your real-world problems. Where
9should you go to learn more?
10
11This tutorial is part of Python's documentation set.   Some other documents in
12the 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, 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
31More 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.
35
36* https://docs.python.org:  Fast access to Python's  documentation.
37
38* https://pypi.org: The Python Package Index, previously also nicknamed
39  the Cheese Shop [#]_, is an index of user-created Python modules that are available
40  for download.  Once you begin releasing code, you can register it here so that
41  others can find it.
42
43* https://code.activestate.com/recipes/langs/python/: The Python Cookbook is a
44  sizable collection of code examples, larger modules, and useful scripts.
45  Particularly notable contributions are collected in a book also titled Python
46  Cookbook (O'Reilly & Associates, ISBN 0-596-00797-3.)
47
48* https://pyvideo.org collects links to Python-related videos from
49  conferences and user-group meetings.
50
51* https://scipy.org: The Scientific Python project includes modules for fast
52  array computations and manipulations plus a host of packages for such
53  things as linear algebra, Fourier transforms, non-linear solvers,
54  random number distributions, statistical analysis and the like.
55
56For Python-related questions and problem reports, you can post to the newsgroup
57:newsgroup:`comp.lang.python`, or send them to the mailing list at
58[email protected].  The newsgroup and mailing list are gatewayed, so
59messages posted to one will automatically be forwarded to the other.  There are
60hundreds of postings a day, asking (and
61answering) questions, suggesting new features, and announcing new modules.
62Mailing list archives are available at https://mail.python.org/pipermail/.
63
64Before posting, be sure to check the list of
65:ref:`Frequently Asked Questions <faq-index>` (also called the FAQ).  The
66FAQ answers many of the questions that come up again and again, and may
67already contain the solution for your problem.
68
69.. rubric:: Footnotes
70
71.. [#] "Cheese Shop" is a Monty Python's sketch: a customer enters a cheese shop,
72   but whatever cheese he asks for, the clerk says it's missing.
73
74