Python. Python. Python Network Programming. Python provides two levels of access to network services. At a low level, you can access the basic socket support in the underlying operating system, which allows you to implement clients and servers for both connection-oriented and connectionless protocols. Python also has libraries that provide higher-level access to specific application-level network protocols, such as FTP, HTTP, and so on. This chapter gives you understanding on most famous concept in Networking - Socket Programming. What is Sockets? Sockets are the endpoints of a bidirectional communications channel. Sockets may communicate within a process, between processes on the same machine, or between processes on different continents.
Sockets may be implemented over a number of different channel types: Unix domain sockets, TCP, UDP, and so on. Sockets have their own vocabulary: The socket Module To create a socket, you must use the socket.socket() function available in socket module, which has the general syntax − A Simple Server #! 3.4 Special method names. A class can implement certain operations that are invoked by special syntax (such as arithmetic operations or subscripting and slicing) by defining methods with special names.This is Python's approach to operator overloading, allowing classes to define their own behavior with respect to language operators.
For instance, if a class defines a method named __getitem__(), and x is an instance of this class, then x[i] is equivalent3.2 to x. __getitem__(i). Except where mentioned, attempts to execute an operation raise an exception when no appropriate method is defined. When implementing a class that emulates any built-in type, it is important that the emulation only be implemented to the degree that it makes sense for the object being modelled. For example, some sequences may work well with retrieval of individual elements, but extracting a slice may not make sense. (One example of this is the NodeList interface in the W3C's Document Object Model.) Footnotes ... equivalent3.2. Code Like a Pythonista: Idiomatic Python.
In this interactive tutorial, we'll cover many essential Python idioms and techniques in depth, adding immediately useful tools to your belt. There are 3 versions of this presentation: ©2006-2008, licensed under a Creative Commons Attribution/Share-Alike (BY-SA) license. My credentials: I am a resident of Montreal,father of two great kids, husband of one special woman,a full-time Python programmer,author of the Docutils project and reStructuredText,an editor of the Python Enhancement Proposals (or PEPs),an organizer of PyCon 2007, and chair of PyCon 2008,a member of the Python Software Foundation,a Director of the Foundation for the past year, and its Secretary.
In the tutorial I presented at PyCon 2006 (called Text & Data Processing), I was surprised at the reaction to some techniques I used that I had thought were common knowledge. Many of you will have seen some of these techniques and idioms before. These are the guiding principles of Python, but are open to interpretation. Import this. Python Is Not Java (dirtSimple.org) I was recently looking at the source of a wxPython-based GUI application, about 45.5KLOC in size, not counting the libraries used (e.g.
Twisted). The code was written by Java developers who are relatively new to Python, and it suffers from some performance issues (like a 30-second startup time). In examining the code, I found that they had done lots of things that make sense in Java, but which suck terribly in Python. Not because "Python is slower than Java", but because there are easier ways to accomplish the same goals in Python, that wouldn't even be possible in Java. So, the sad thing is that these poor folks worked much, much harder than they needed to, in order to produce much more code than they needed to write, that then performs much more slowly than the equivalent idiomatic Python would.
A static method in Java does not translate to a Python classmethod. To do this, become more demanding of Python. Special Method Names - Dive Into Python 3. You are here: Home ‣ Dive Into Python 3 ‣ Updated September 20, 2010 • Difficulty level: ♦♦♦♦♦ ❝ My specialty is being right when other people are wrong. ❞ — George Bernard Shaw Also available on dead trees! ‣ show table of contents Diving In # Throughout this book, you’ve seen examples of “special methods” — certain “magic” methods that Python invokes when you use certain syntax. Basics # If you’ve read the introduction to classes , you’ve already seen the most common special method: the __init__() method.
The __init__() method is called after the instance is created. Classes That Act Like Iterators # In the Iterators chapter , you saw how to build an iterator from the ground up using the __iter__() and __next__() methods. The __iter__() method is called whenever you create a new iterator. As you saw in the Iterators chapter , a for loop can act on an iterator. For x in seq : print ( x ) Python 3 will call seq. Computed Attributes # skip over this code listing Classes That Act Like Functions # an.
IronPython in Action: Magic Methods. Note This is appendix B from IronPython in Action . My thanks to Manning Publications for permission to reproduce it here. It is a reference to all the common methods and attributes used for Python protocols: the Python magic methods. This is a reference for IronPython 2.0, which is the equivalent of Python 2.5. Creating your own objects in Python inevitably means implementing one or more of Python's protocol methods-the magic methods whose names start and end with double underscores. The lookup rules for the magic methods are slightly different from those of other attributes.
This appendix is a reference to all the common magic methods. The object creation methods are called when a class is instantiated, as shown in table B.1. Table B.1 Object creation a. The rich comparison methods are called during comparison operations involving the ==, ! In Python there is no comparison fallback. Classes of immutable objects that implement the comparison methods should also implement __hash__ . A. WxPython. Python Programming Language – Official Website. News.