Python For Developing Complex Web Applications

Python is an open source, interactive, object oriented programming language, which is used in a wide variety of application domains. It can run on all major operating systems such as on Windows, Linux, UNIX, OS/2, Mac, Amiga, and is free to use (even for commercial purpose) since it’s based on the open source license. It is very simple to learn and understand this powerful high level dynamic programming language. The dedicated Python Development team written many applications based on this language. It is easy to implement this language. Python is also a fun and a dynamic language that can be used by many companies like GOOGLE, Yahoo!, and IBM. It is used to write custom tools and scripts for special purpose. It also provides more tools for both the developers and the system administrators.

Python can be easily interface with C/ObjC/Java/Fortran. The features of Python is natural expression of procedural code, strong introspection capabilities, very clear, readable syntax, intuitive object orientation, very high level dynamic data types, extensions and modules easily written in C, C++ (or Java for Jython, or .NET languages for IronPython), extensive standard libraries and third party modules for virtually every task, full modularity, supporting hierarchical packages, exception-based error handling and embeddable within applications as a scripting interface. Python is also supported for the Internet Communications Engine (ICE) and many other integration technologies. It is packed with rich libraries and many add-on packages to tackle specific tasks.

Python is widely used in Web applications development. It is often compared to Lisp, Tcl, Perl, Ruby, C#, Visual Basic, Visual Fox Pro, Scheme or Java. The applications written in Python are Web Applications (Django, Pylons), Games (Eve Online – MMORPG), 3D CAD/CAM, Image Applications, Science and Education Applications, Software Development (Trac for Project Management), Object Databases (ZODB / Durus), Network Programming (Bittorent), Mobile applications, Audio/Video Applications, Office Applications, etc.

Web Applications in Python

Python is widely used in Web applications development. There are a number of web frameworks available, like Django, TurboGears, Pylons, web.py, web2py, Grok, Zope2, etc. A Web framework is a collection of packages or modules which allows the developers to write Web applications or services without having to handle such low-level details as protocols, sockets or process/thread management. Python-based web frameworks to provide a powerful environment for web development, including:

• Django is a “batteries included” web application framework for perfectionists (with deadlines). Django makes it easier to build better Web apps more quickly and with less code. Django has a large and active community, which encourages rapid development and clean, pragmatic design. By using this you can build high-performing, elegant Web applications quickly.
• Pyramid is an open source Python web framework. It ensures high performance speed and reliability. It lies somewhere between a big framework like Django and the microframeworks. It comes with a lot of libraries and functionality and can thus not be considered lightweight. They include an XML-RPC package, an email system, a session and caching modules, and more. It comes with the Werkzeug Debugger which allows you to debug a running web application in the browser.
• Zope web framework stands for “Z Object Publishing Environment”, and is widely used for Content management system development, including Plone.
• Heroku is a cloud application platform, supports several programming languages such as Java, Node.js, Scala, Clojure and Python. It allows you to run as many Python web applications.

I have just gave you an introduction about some of the web frameworks of Python. These web frameworks are used to develop complex Web Applications, content management system, eCommerce web development, design the look of your website, etc. It meet the requirements of the web masters that work with large-scale data driven web applications.