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Python Object Oriented

Python Object Oriented
Python has been an object-oriented language since it existed. Because of this, creating and using classes and objects are downright easy. This chapter helps you become an expert in using Python's object-oriented programming support. If you do not have any previous experience with object-oriented (OO) programming, you may want to consult an introductory course on it or at least a tutorial of some sort so that you have a grasp of the basic concepts. However, here is small introduction of Object-Oriented Programming (OOP) to bring you at speed − Overview of OOP Terminology Class: A user-defined prototype for an object that defines a set of attributes that characterize any object of the class. Creating Classes The class statement creates a new class definition. class ClassName: 'Optional class documentation string' class_suite The class has a documentation string, which can be accessed via ClassName. Example Following is the example of a simple Python class − Creating Instance Objects #! #! #! Syntax #!

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Multiple Function Arguments - Learn Python - Free Interactive Python Tutorial Every function in Python receives a predefined number of arguments, if declared normally, like this: def myfunction(first, second, third): # do something with the 3 variables ... Execute Code It is possible to declare functions which receive a variable number of arguments, using the following syntax:

Python Sending Email using SMTP Simple Mail Transfer Protocol (SMTP) is a protocol, which handles sending e-mail and routing e-mail between mail servers. Python provides smtplib module, which defines an SMTP client session object that can be used to send mail to any Internet machine with an SMTP or ESMTP listener daemon. Here is a simple syntax to create one SMTP object, which can later be used to send an e-mail − import smtplib smtpObj = smtplib.SMTP( [host [, port [, local_hostname]]] ) Here is the detail of the parameters: host: This is the host running your SMTP server.

17.6. multiprocessing — Process-based “threading” interface — Python v2.6.4 documentation New in version 2.6. 17.6.1. Introduction multiprocessing is a package that supports spawning processes using an API similar to the threading module. The multiprocessing package offers both local and remote concurrency, effectively side-stepping the Global Interpreter Lock by using subprocesses instead of threads.

Python syntax and semantics Keywords[edit] Python has the following keywords or reserved words; they cannot be used as identifiers.[3][4] andasassertbreakclasscontinuedefdelelifelseexceptexec (changed to a built-in function in 3.x)False (keyword in 3.x)finallyforfromglobalifimportinislambdaNonenonlocal (added in 3.x)notorpassprint (changed to a built-in function in 3.x)raisereturnTrue (keyword in 3.x)trywhilewithyield Classes and Objects - Learn Python - Free Interactive Python Tutorial Objects are an encapsulation of variables and functions into a single entity. Objects get their variables and functions from classes. Classes are essentially a template to create your objects. A very basic class would look something like this:

Python Networking 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. Introduction to Python: Class 5 Page Contents A Python class is created by a class definition, has an associated name space, supports attribute reference, and is callable. class name[(expr[,expr]*)]: suite An Introduction to Python Lists You can use the list type to implement simple data structures, such as stacks and queues. stack = [] stack.append(object) object = stack.pop() queue = [] queue.append(object) object = queue.pop(0) The list type isn’t optimized for this, so this works best when the structures are small (typically a few hundred items or smaller). For larger structures, you may need a specialized data structure, such as collections.deque.

Python Regular Expressions A regular expression is a special sequence of characters that helps you match or find other strings or sets of strings, using a specialized syntax held in a pattern. Regular expressions are widely used in UNIX world. The module re provides full support for Perl-like regular expressions in Python. Parallel Python - Parallel Python documentation Module API Quick start guide, SMP Quick start guide, clusters Quick start guide, clusters with auto-discovery Advanced guide, clusters Command line arguments, Security and secret key stats and PID file example PP FAQ 1) Import pp module: import pp 2) Start pp execution server with the number of workers set to the number of processors in the system

Python from Scratch: Object Oriented Programming Welcome back to lesson four in our Python from Scratch series. This tutorial will assume some prior knowledge of variables, data types, functions and print output. If you're not up to date, check out the previous three articles in the series to catch up.