Python Application Domain areas

You may like to read  Python: Introduction and features first.

Python as a programming language is clean and fast. It is new enough to be well designed and high-level. It is mature enough to be very useful and well-behaved. Coding in Python is easy, fun and going fast. The code volume you need to get something done is usually much less than in other programming languages (and this is not just about typing stuff, having less code means also less bugs, less maintenance costs). You can easily debug code. You can try code in the interactive interpreter. No need to compile the code, just run it. However, there are some lacking features in python like Python lacks popular high-level concurrency support. There is no high level interprocess communication library, no lightweight processes, no transactional memory etc. Python also lacks a macro or similar facility. Despite these flaws, python is an practical language for getting work done in a timely manner and having a maintainable codebase when finished.


Application Domains

Serving the Web using Python

Python offers a wide range of choices for web development:

• Writing basic CGI scripts.
• Frameworks such as Django and TurboGears.
• High-end solutions such as Zope.
• Advanced content management systems such as Plone.

For custom web solutions and other internet-based applications:

• Extensive support for HTML and XML.
• E-mail processing.
• Processing RSS feeds.
• Support for many other Internet protocols.

Database Access

• Custom and ODBC interfaces to MySQL, Oracle, MS SQL Server, PostgreSQL, SybODBC, and others are available for free download.
• Standard Database API.
• Object databases such as ZODB and Durus.

Desktop GUIs

• The Tk GUI development library is included with most binary distributions for Python.
• wxWidgets
• GTK+
• Qt via pyqt or pyside
• Microsoft Foundation Classes through the win32 extensions
• Delphi

Scientific and Numeric

• Python is widely used in scientific and numeric computing:

Bioinformatics

• Python course in Bioinformatics
• Physics

Network Programming

• In addition to the web and internet support described above, Python also provides support for lower level network programming:

Easy-to-use socket interface.

• Twisted Python, a framework for asynchronous network programming.

Python is often used as a support language for software developers, for build control and management, testing, and in many other ways.

SCons for build control.

• Buildbot and Apache Gump for automated continuous compilation and testing.
• Roundup or Trac for bug tracking and project management.
• Roster of Integrated Development Environments.

Game Development

• PyGame and PyKyra are two of the game frameworks available for Python.

References: 

• Python official website
• Wikipedia

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Python Open source programming language

Introduction 

Python is a programming language that lets you work more quickly and integrate your systems more effectively. Learning to use Python can result in immediate gains in productivity and lower maintenance costs.

Python runs on Windows, Linux/Unix, Mac OS X, and has been ported to the Java and .NET virtual machines.

Python is free to use, even for commercial products, because of its OSI-approved open source license.

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. Python is often compared to Tcl, Perl, Ruby, Scheme or Java. Some of its key distinguishing features include:

• clear and easy to read syntax
• easier debugging
• object oriented programming language 
• modular programming language
• supports exception handling
• very high level dynamic data types 
• extensive standard libraries and third party modules for virtually every task 
• extensions and modules easily written in C, C++ (or Java for Jython, or .NET languages for IronPython) 
• embeddable within applications as a scripting interface 

Python is powerful... and fast

Python lets you write the code you need, quickly. And, thanks to a highly optimized byte compiler and support libraries, Python code runs more than fast enough for most applications. The traditional implementation of CPython uses a bytecode virtual machine; PyPy supports just-in-time (JIT) compilation to machine code. Also, Jython and IronPython (see below) support JIT compilation on their respective virtual machine implementations.

Python plays well with others

• Python can integrate with COM, .NET, and CORBA objects. 

• For Java libraries, use Jython, an implementation of Python for the Java Virtual Machine. 

• For .NET, try IronPython , Microsoft's new implementation of Python for .NET, or Python for .NET. 

• Python is also supported for the Internet Communications Engine (ICE) and many other integration technologies. 

Python runs everywhere 

Python is available for all major operating systems: Windows, Linux/Unix, OS/2, Mac, Amiga, among others. There are even versions that run on .NET and the Java virtual machine.


Python is friendly... and easy to learn

Python comes with complete documentation, both integrated into the language and as separate web pages. Online tutorials target both the seasoned programmer and the newcomer. All are designed to make you productive quickly. The availability of first-rate books completes the learning package.

Python is Open

The Python implementation is under an open source license that makes it freely usable and distributable, even for commercial use. The Python license is administered by the Python Software Foundation.


Development environments

Most Python implementations (including CPython) can function as a command line interpreter, for which the user enters statements sequentially and receives the results immediately. In short, Python acts as a shell.

Other shells add capabilities beyond those in the basic interpreter, including IDLE and IPython. While generally following the visual style of the Python shell, they implement features like auto-completion, retention of session state, and syntax highlighting.

In addition to standard desktop Python IDEs (integrated development environments), there are also browser-based IDEs, Sage, (intended for developing science and math-related Python programs), and a hosted IDE, pythonAnywhere.

You can read the next part Python application domains in real world.

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Python. An open source programming language.

Python is a very powerful programming language that is used extensively today. The fact that it is open source and free has played a crucial factor in its popularity. Python has a wide range of application domains. Lets discuss in details here. 

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