Python Cookbook [Import] [ペーパーバック]

Good:

As other reviewers have pointed out, this book offers solutions for a broad range of programming problems. There is something for every level from beginner to expert (the most advanced examples were well over my head). The recipes are enhanced by discussions that are mostly very well and clearly written, giving insight into the design and logic of the presented recipes. They thus guide the way to adapting the recipes to your own programs.
So, most of the content of this book is good. 4-5 stars for that.

Bad / Production:

The recipes (so I gather) are mostly edited versions of what is available at ActiveState's online cookbook. However, the edited versions seem not to be available online (at least there is no pointer, and O'Reilly's website does not provide one either). Nor does the book include a CD. For all the hype in the book about this being a book by the Python community for the Python community, this is disappointing. Not even pointers are provided to on-line cookbook recipes that were used as starting points for those printed in this book. This is just bad craftsmanship on the part of O'Reilly. (On a similar note, the back cover promises a foreword by Guido but there isn't one.)

Bad / Content:

Sugar is sweet but bad for your health. So it is with this book - too many recipes add only (syntactic) sugar but no minerals and vitamins. Several 'shortcuts' are just wasted ink and breath - they will save you 1-2 lines of code when writing a function but then you have to import the shortcut implementation and get to make the extra function calls... Where these 'shortcuts' help to avoid some Python gotchas, it would have been more useful to just document the gotcha in question and show how to avoid it in straight Python code without any sugaring. Case in point: The once-only initialization of function default arguments. If you write:

def foo(bar=[])
bar.append(quux)

then previous quuxes will be lurking in the bars of every subsequent foo call that does not pass bar itself. So, you must write:

def foo(bar=None):
if not bar: bar=[]

to get an empty [] for every call. Now does this 'problem' merit a more elaborate, sugary 'solution'? I don't think so.

Some recipes are recipes for disaster. We are told how to automatically call the __init__ routines of every superclass... what we are not told is how to automatically call them in the appropriate order or with the respective arguments for making things work. How often do you write an __init__ that takes only the 'self' argument? Sure, it occurs, but... The omission of implicit superclass calls was a conscious design choice in Python and a wise one at that. Too many recipes like this one just want to show you how to subvert Python's conscious design choices. The sweet taste won't last but give way to heartburn.

For a book of this scope and design it is of course impossible to avoid criticism of the kind 'why did you include A but not B...'
Still, here goes:

XML: There are excellent libraries such as ElementTree and now cElementTree that offer fast, clean and 'Pythonic' alternatives to the standard library modules for XML parsing. More than just a URL pointer should have been provided.

Web programming: Only Jython and Twisted are mentioned as alternatives to CGI. Now Twisted may be the greatest thing since sliced bread, but ordinary mortals will never know, because it has about the the most confusing and unfathomable documentation of anything on the web (ooh I forgot Zope...). Presenting Twisted 'recipes' (or rather, plugs) with 'discussions' that drone about its power but are again just the same handwaving stuff as in the on-line docs is useless.

(If you just want to get your web stuff done with minimal pain: For simple PHP-like embedded scripting but with the advantages of Python, look at Spyce, and for an easy application server, look at Cherrypy or Webware).

So, altogether, a good book but not quite on par with e.g. Python in a Nutshell.

This is one of those rare books that is all meat and no fat. It is a wonderful collection of relevant and useful solutions for many programming problems that you will face, and many that you probably just figured were too hard to solve. It is clearly laid out, so finding a needed solution is easy.

One of the most powerful benefits of owning this book is astonishing amount of knowledge you can pick up by browsing it. With almost every recipe I discovered either a new approach to doing something with Python, that was far more elegant than what I would have thought of, or something that I didn't even consider was possible. It covers a vast array of important topics, from text processing, threads, object-oriented programming, and much more.

In short buy this book, grab a drink, and have a nice long sit-down session with it. You'll love every page of it.

Full disclosure: I purchased the first edition of this book, and received the second edition as a reviewers copy. I work for Zope Corporation.

The O'Reilly Python Cookbook is a fun resource for Python programmers at most levels. The fun comes in part from the personalities that shine through the introductions and the community-authored recipes gathered from the ActiveState Python Cookbook website. The other fun comes from the smorgasbord of topics and technologies laid out for the reader, encouraging browsing and experimentation. New Python programmers will find recipes that highlight some of the newer features of the Python language, and experienced Python programmers will likely find thought-provoking recipes both peripherally and directly related to their specialties and interests.

Like the first edition, this second edition covers a wide range of topics. Each topic has a usually-interesting introduction by well-known names in the Python community. Some topics are of general interest-shortcuts and algorithms, for instance-while others explore somewhat more specialized topics, such as networks, XML, and databases. Each cookbook recipe I read was impressively short, while often still having enough weight to them to address non-toy usages of the approaches. Many examples can also be used as introductions to the modules and packages they use. Another important similarity to the first edition is that a portion of the proceeds from the book sales are donated to the Python Software Foundation.

This edition of the cookbook does have some significant changes from the previous one. While the first edition addressed Python versions in the 1.x and 2.x line, this one addresses only Python 2.3 and 2.4. It adds about a third more recipes than the first edition, and tops the first edition's page count by over 200 pages. Some of the new additions address relatively new packages, such as the datetime, dateutils, pytz, and decimal packages, while others focus on older packages that are waxing in their influence and popularity, such as Twisted. Many recipes are more polished, such as the "Synchronizing All Methods in an Object," which has an arguably more general purpose approach and an interesting discussion in the new edition.

Omissions are sometimes as interesting as inclusions in recipe books, but an interpretation of their significance can be difficult. The new edition dropped almost 100 of the first edition's recipes. In the "Distributed Programming" topic, the SOAP references in the first edition have disappeared, and a recipe for Twisted's Perspective Broker has surfaced. While the Perspective Broker is an interesting technology with an elegant cookbook example, the seeming judgement-SOAP is now less worth discussion than one of the Twisted project's packages-might raise some eyebrows. Similarly, Zope and the ZODB (Zope Object Database) are acknowledged as heavyweights in the introductions to their respective topics ("Web Programming" and "Persistence and Databases"). Zope 3 is even granted a rave review: "The new, revolutionary major release, Zope 3, makes Zope more Pythonic and powerful than ever." But not a single recipe can be found for either, in either edition. Perhaps that simply is indicative that the Zope community ought to pay more attention to the Cookbook website.

This returns us to the initial observation of this review: the cookbook is a community driven project, and thus reflects the personalities of the programmers who contributed to it, rather than necessarily to trends of the Python or IT community. But it also benefits from the energy and enthusiasm of the contributors who often have palpable excitement for the technologies they are demonstrating. This also makes me more interested in the book as a source for introductions than as a source for ready-made recipes.

If a picture is worth a thousand words, a working, explained example of a new package ought to be worth quite a few too. The cookbook is a fun browse and a fun introduction to other aspects of the Python language. While I have found myself using one or two of the recipes from the first edition, that use alone is not enough to justify the cover price. It is more compelling to me as a fun introduction to Python topics and approaches. In that light, I recommend it.