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Python is an interpreted high-level general-purpose programming language. Its design philosophy emphasizes code readability with its use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.

Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library.

Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of its features support functional programming and aspect-oriented programming (including by metaprogramming and metaobjects (magic methods)). Many other paradigms are supported via extensions, including design by contract and logic programming.

Rather than having all of its functionality built into its core, Python was designed to be highly extensible (with modules). This compact modularity has made it particularly popular as a means of adding programmable interfaces to existing applications. Van Rossum's vision of a small core language with a large standard library and easily extensible interpreter stemmed from his frustrations with ABC, which espoused the opposite approach.

Python strives for a simpler, less-cluttered syntax and grammar while giving developers a choice in their coding methodology. In contrast to Perl's "there is more than one way to do it" motto, Python embraces a "there should be one— and preferably only one —obvious way to do it" design philosophy.

Python's statements include (among others):

• The assignment statement, using a single equals sign =.

• The if statement, which conditionally executes a block of code, along with else and elif (a contraction of else-if).

• The for statement, which iterates over an iterable object, capturing each element to a local variable for use by the attached block.

• The while statement, which executes a block of code as long as its condition is true.

• The try statement, which allows exceptions raised in its attached code block to be caught and handled by except clauses; it also ensures that clean-up code in a finally block will always be run regardless of how the block exits.

• The raise statement, used to raise a specified exception or re-raise a caught exception.

• The class statement, which executes a block of code and attaches its local namespace to a class, for use in object-oriented programming.

• The def statement, which defines a function or method.

• The with statement, which encloses a code block within a context manager (for example, acquiring a lock before the block of code is run and releasing the lock afterwards, or opening a file and then closing it), allowing resource-acquisition-is-initialization (RAII)-like behavior and replaces a common try/finally idiom.[80]

• The break statement, exits from a loop.

• The continue statement, skips this iteration and continues with the next item.

• The del statement, removes a variable, which means the reference from the name to the value is deleted and trying to use that variable will cause an error. A deleted variable can be reassigned.

• The pass statement, which serves as a NOP. It is syntactically needed to create an empty code block.

• The assert statement, used during debugging to check for conditions that should apply.

• The yield statement, which returns a value from a generator function and yield is also an operator. This form is used to implement coroutines.

• The return statement, used to return a value from a function.

• The import statement, which is used to import modules whose functions or variables can be used in the current program.

Applications for Python

Python is used in many application domains. Here's a sampling.

• The Python Package Index lists thousands of third party modules for Python.

Web and Internet Development

Python offers many choices for web development:

• Frameworks such as Django and Pyramid.

• Micro-frameworks such as Flask and Bottle.

• Advanced content management systems such as Plone and django CMS.

Python's standard library supports many Internet protocols:

• HTML and XML

• JSON

• E-mail processing.

• Support for FTP, IMAP, and other Internet protocols.

• Easy-to-use socket interface.

And the Package Index has yet more libraries:

• Requests, a powerful HTTP client library.

• Beautiful Soup, an HTML parser that can handle all sorts of oddball HTML.

• Feedparser for parsing RSS/Atom feeds.

• Paramiko, implementing the SSH2 protocol.

• Twisted Python, a framework for asynchronous network programming.

Scientific and Numeric

Python is widely used in scientific and numeric computing:

• SciPy is a collection of packages for mathematics, science, and engineering.

• Pandas is a data analysis and modeling library.

• IPython is a powerful interactive shell that features easy editing and recording of a work session, and supports visualizations and parallel computing.

• The Software Carpentry Course teaches basic skills for scientific computing, running bootcamps and providing open-access teaching materials.

Education

Python is a superb language for teaching programming, both at the introductory level and in more advanced courses.

• Books such as How to Think Like a Computer Scientist, Python Programming: An Introduction to Computer Science, and Practical Programming.

• The Education Special Interest Group is a good place to discuss teaching issues.

Desktop GUIs

The Tk GUI library is included with most binary distributions of Python.

Some toolkits that are usable on several platforms are available separately:

• wxWidgets

• Kivy, for writing multitouch applications.

• Qt via pyqt or pyside

Platform-specific toolkits are also available:

• GTK+

• Microsoft Foundation Classes through the win32 extensions

Software Development

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.

Business Applications

Python is also used to build ERP and e-commerce systems:

• Odoo is an all-in-one management software that offers a range of business applications that form a complete suite of enterprise management applications.

• Tryton is a three-tier high-level general purpose application platform.