Tutorials
Tutorial 1: for non-programmers http://www.honors.montana.edu/~jjc/easytut/easytut/ Tutorial 2: "A Byte of Python" http://www.byteofpython.info/ Tutorial 3: "Instant Python" http://www.hetland.org/python/instant-python.php Tutorial 4: "Python Tutorial" http://www.python.org/doc/current/tut/tut.html Tutorial 5: "Dive Into Python" http://diveintopython.org/ Tutorial 6: "How to think like..." http://www.ibiblio.org/obp/thinkCSpy/ Tutorial 7: "The What, Why... of Python" http://www.networkcomputing.com/.../tutorial/005/005.html Documentation, FAQs, and Papers
Python 2.1 doc HTML format
HTML in downloadable ZIP file
HTML in downloadable .tgz fileJython 2.0 doc Jython installation instructions
http://www.jython.org/docs/index.htmlPython FAQ http://www.python.org/doc/FAQ.html Python for Lisp Programmers -- in-depth analysis of Python and LISP language features http://www.norvig.com/python-lisp.html
http://www.strout.net/python/pythonvslisp.htmlPython and Java: The Best of Both Worlds -- Jim Hugunin's 5 year-old paper describing rationale behind Jython http://www.python.org/.../proceedings/hugunin.html Python Compared to Other Languages -- collection of language comparisons http://www.python.org/doc/Comparisons.html Empirical comparison of C, C++, Java, Perl, Python, Rexx, and Tcl IEEE Computer paper (PDF) Sample code sample code Books
Author Title Publisher Date ISBN Rating * Gauld "Learn to Program Using Python" Addison-Wesley 2000 0201709384 X2 Lutz & Ascher "Learning Python, 5ed" O'Reilly 2013 1449355730 N3 Ceder "The Quick Python Book, 2ed" Manning 2010 193518220X N2, I3 Beazley & Jones "Python Cookbook, 3ed" O'Reilly 2013 1449340377 N3, I3, A3 Martelli "Python in a Nutshell, 2ed" O'Reilly 2006 0596100469 N2, I3, A3 Pedroni & Rappin "Jython Essentials" O'Reilly 2002 0596002475 I3 Lutz "Programming Python", 2nd ed O'Reilly 2001 0596000855 I2 Matthew & Stones "Professional Linux Programming" Wrox 2000 1861003013 A2 Brueck & Tanner "Python Bible" Hungry Minds 2001 0764548077 N2, I2 Chun "Core Python Programming" Prentice Hall 2000 0130260363 N2, I2 Grayson "Python and Tkinter Programming" Manning 1999 1884777813 I2 McGrath "XML Processing with Python" Prentice Hall 2000 0130211192 Beazley "Python Essential Reference" New Riders 1999 0735709017 I2 Lundh "Python Standard Library" O'Reilly 2001 0596000960 I2 Hammond "Python Programming on Win32" O'Reilly 2000 1565926218 Christopher "Python Programming Patterns" Prentice Hall 2001 0130409561 Thiruvathukal et al "Web Programming in Python" Prentice Hall 2001 0130410659 I1 Hightower "Python Programming with Java Class Libs" Addison-Wesley 2001 0201616165 Jones et al "Python and Xml" O'Reilly 2001 0596001282 Fehily & Vick "Python for the World Wide Web" Peachpit 2001 0201748843 Brown "Perl to Python Migration" Addison-Wesley 2001 0201734885 Bill "Jython for Java Programmers" New Riders 2001 0735711119
* Rating: X = New to programming 0: I wouldn't N = New to Python 1: OK... I suppose I = Intermediate 2: Good A = Advanced 3: Recommended
All the books assume you have some programming background, with the
exception of Learn to Program (Gauld). Gauld's book is an good
starting point for non-programmers.
Learning Python (Lutz & Ascher) is, perhaps the best tutorial.
The Quick Python Book (McDonald) could make the same claim.
I think its a matter of style. Lutz is more narrative;
McDonald can also double as a basic language reference.
Python Cookbook (Martelli) is a large collection of handy templates
for all sorts of programming problems. I highly recommend this
book to all Python programmers, beginner and advanced alike.
Core Python Programming (Chun) and Python Bible (Brueck) are OK, but
I still prefer Lutz and McDonald.
Programming Python (Lutz) is arguably a best second book.
Python Essential Reference (Beazley) provides reference info for all the
standard librarys. It, however, has few examples. Conversely, Python
Standard Library (Lundh) has examples but lacks an API reference. Duh?
Depending on your interests, XML Processing (McGrath), Python and Tkinter
(Grayson), Programming on Win32 (Hammond) are appropriate choices.
Programming Patterns (Christopher) also teaches you Python but is somewhat
disappointing in that I expected more advanced material as its title
suggests. The author's definition of a pattern includes data structures
which explains some of the book's content.
Web Programming (Thiruvathukal et al) covers a lot of material to relative
newcomers fairly well. It is a big undertaking to attempt Linux, Apache,
networking protocols and the Internet, MySQL, Python CGI programming,
a Python web site framework, and a Python Wiki installation all in one
book. Aggressive? Definitely, but their explanations seem decent and I
think they accomplished their goal. Anticipate needing supplemental texts
however.
If you are an intermediate, don't overlook Professional Linux Programming
(Matthew & Stones). It covers much of the same material as Thiruvathukal,
but at a deeper level.
official Python site http://www.python.org official Jython site http://www.jython.org Python Introduction, Resources and FAQs http://www.whoishostingthis.com/resources/python/ Python Cookbook -- useful code fragments http://aspn.activestate.com/ASPN/Cookbook/Python ActiveState -- vendor http://www.activestate.com