By Brian K. Jones, David Beazley

Publish yr note: First released in 1996
------------------------

If you wish aid writing courses in Python three, or are looking to replace older Python 2 code, this publication is simply the price ticket. choked with functional recipes written and confirmed with Python 3.3, this detailed cookbook is for knowledgeable Python programmers who are looking to specialize in sleek instruments and idioms.

Inside, you’ll locate whole recipes for greater than a dozen issues, masking the center Python language in addition to initiatives universal to a large choice of program domain names. every one recipe includes code samples you should use on your initiatives without delay, in addition to a dialogue approximately how and why the answer works.

Topics include:
• information constructions and Algorithms
• Strings and Text
• Numbers, Dates, and Times
• Iterators and Generators
• documents and I/O
• facts Encoding and Processing
• Functions
• periods and Objects
• Metaprogramming
• Modules and Packages
• community and net Programming
• Concurrency
• software Scripting and process Administration
• trying out, Debugging, and Exceptions
• C Extensions

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Additional info for Python Cookbook (3rd Edition)

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Def fmt(inp): ... return "%s%s%s"%(st,inp,en) ... return fmt ... timeit(stmt="fmt1('hello')", ... 3326794120075647 >>> class Formatter: ... def __init__(self,st,en): ... st = st ... en = en ... def __call__(self, inp): ... en) ... timeit(stmt="fmt2('hello')", ... 5502702980011236 One such function is available from the standard library, named partial, that makes use of closure to create a new function that is always invoked with some predefined arguments: >>> import functools >>> >>> def foo(*args,**kwargs): ...

F,objtype) ... >>> class my_staticmethod: ... def __init__(self, f): ... f = f ... def __get__(self, obj, objtype): ... # we do not pass anything ... # for both conditions ... f ... >>> class C: ... @my_instancemethod ... def ido(*args): [ 18 ] Chapter 1 ... print("imethod",args) ... @my_classmethod ... def cdo(*args): ... print("cmethod",args) ... @my_staticmethod ... def sdo(*args): ... print("smethod",args) ... com for all the Packt Publishing books you have purchased. com/support and register to have the files e-mailed directly to you.

This makes the actual method that is found by the attribute look up as a descriptor and normal execution happens for staticmethod and classmethod. This works fine, as follows: >>> class K: ... @staticmethod ... @wrap ... def do(*args): ... print("imethod",args) ... @classmethod ... @wrap ... def do2(*args): ... print("imethod",args) ... K at 0x7f12ea05e1f0>, 1, 2, 3)) [ 43 ] Functions and Utilities We can use decorators for classes as class is just a type of callable. Hence, we can use decorators to alter the instance creation process so that when we call class, we get an instance.

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