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Kuchling Introduction This article explains the new features in Python 2. There are some features such as generators and iterators that are completely new, but most of the changes, significant and far-reaching though they may be, are aimed at cleaning up irregularities and dark corners of the language design.
For full details, you should refer to the documentation for Python 2. If you want to understand the complete implementation and design rationale for a change, refer to the PEP for a particular new feature.
PEPs and Type and Class Changes The largest and most far-reaching changes in Python 2. You can subclass built-in types such as lists and even integers, and your subclasses should work in every place that requires the original type.
As a small side benefit, attributes can now have docstrings, too. The list of legal attributes for an instance can be limited to a particular set using slots, making it possible to safeguard against typos and perhaps make more optimizations possible in future versions of Python.
Some users have voiced concern about all these changes. Many of the new features are quite esoteric, and you can write a lot of Python code without ever needed to be aware of them. Instead this section will paint only the broad strokes. Old and New Classes First, you should know that Python 2.
The old-style class model is exactly the same as the class model in earlier versions of Python. All the new features described in this section apply only to new-style classes. So how do you define a new-style class? You do it by subclassing an existing new-style class.
A new-style class named objectthe base class for all built-in types, has also been added so if no built-in type is suitable, you can just subclass object: The type objects for the built-in types are available as built-ins, named using a clever trick. Python has always had built-in functions named intfloatand str.
Descriptors In previous versions of Python, there was no consistent way to discover what attributes and methods were supported by an object. The one big idea underlying the new class model is that an API for describing the attributes of an object using descriptors has been formalized.
With the descriptor API, static methods and class methods become possible, as well as more exotic constructs. Attribute descriptors are objects that live inside class objects, and have a few attributes of their own: For example, when you write obj.
This is also why static methods and class methods are now possible; they have descriptors that wrap up just the method, or the method and the class. Class methods are passed the class of the object, but not the object itself.
Static and class methods are defined like this: For example, it would be possible to write a descriptor class that made it possible to write Eiffel-style preconditions and postconditions for a method. A class that used this feature might be defined like this: There will be a few wizards who need to know about it in order to write eiffelmethod or the ZODB or whatever, but most users will just write code on top of the resulting libraries and ignore the implementation details.
The Diamond Rule Multiple inheritance has also been made more useful through changing the rules under which names are resolved. A reference to D. Note that Python 2. Scan the list for duplicated classes. If any are found, remove all but one occurrence, leaving the last one in the list. In the above example, the list becomes [D, B, C, A] after dropping duplicates.
Following this rule, referring to D. This lookup rule is the same as the one followed by Common Lisp.
The most commonly used form will be super class, objwhich returns a bound superclass object not the actual class object.
As before, it will be called when an attempt is made to access obj. Finally, calling a function on every attribute access results in a sizable performance loss. The 'delete this attribute' method is defined as None, so the attribute can't be deleted.metin2sell.com Lets you operate multiple Web sites from the same database and Django project metin2sell.comfiles An app for handling static files Why did you write all of Django from scratch, instead of using other Python libraries?
Is Django a content-management-system (CMS)? SQLite notes Oracle notes Using a 3rd-party. Fukuoka | Japan Fukuoka | Japan. Beginning Django Web Development With Python.
For Later. save. Related. Info. Embed. Share. Print. Search. Download. naming it after the Belgian-French guitarist Django Reinhardt. Just be aware a SQLite database is a flat file and Django creates the SQLite database based on the NAME variable value.
In the case of Listing , under a. If you are absolutely, certainly, % positive that the only possible solution to your problem is iterating over a QuerySet, see rule #3 Iteration - A Health Warning? Ignores Django?s lazy-evaluation mechanism and copies everything into local memory?
Copies data from the database just to process it locally?
Integrating Django with a legacy database Give Django your database parameters Auto-generate the models Install the core Django tables Test and tweak Outputting CSV with Django Using the Python CSV library Using the template system Other text-based formats Outputting PDFs with Django Install ReportLab Write your view Complex PDFs Further.
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