Benefits of Python over Other Programming Languages


What is Python?

The idea of ​​Python came in 1989, when its creator Guido van Rossum faced the shortcomings of the CBA language (ie scalability). Rossum began working on developing a new language that integrates all the right resources CBA language of choice and new resources, such as scalability and exception handling. Python 1.0 was released in 1994; provided by the Modula 3 system modules, has the ability to interact with the Amoeba operating system and includes functional programming tools.
In 2000, the main Python development team moved to Beopen.com and in October 2000, Python released 2.0 with much improvisation, including a garbage collector and support for Unicode.

In December 2008, the release of Python 3.0, the backward compatibility and reticle with a new design saw double construction and modules to avoid. It is still a multiparadigmatic language that offers developers the options of object orientation, structured programming, and functional programming.

Currently, Python has several implementations, including Jython, with scripts in Java Java Virtual Machine; Ironpython for the Common Language Infrastructure written in C # and the written version PyPy RPython and translated by C. Note, CPython, is written in C and developed by Python Software Foundation, is the standard and most popular Python implementation. Although these implementations are managed in the language in which they were written, they can also interact with other languages ​​using modules. Most of these modules work in the community development model and are open source and free.

Introduced in February 2015, Python offers, among other new features, a dramatic improvement in Unicode support by 3.4.3. Python 3.5 is currently under development and is expected to be released in September 2015.

Python applications

• Desktop applications based on the graphical interface
   -Image processing and graphic design applications
   -Scientific and computer applications
   -games
• Web structures and web applications
• Corporate and enterprise applications
• Operating systems
• language development
• Prototyping

Advantages/ Benefits of Python

The multiple implementation of the Python language is the result of the combination of resources that give the language an advantage over others. Some of the benefits of Python programming include:

1. Presence of third-party modules:

Python Package Index (PyPI) contains several modules that allow Python Third to interact with most other languages ​​and platforms.

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2. Library Support Extensions:

Python provides a standard library of domains such as Internet protocols, chain operations, web services tools, and operating system interfaces. Many programming tasks are already heavily controlled in the standard library, which greatly reduces the length of the code to be recorded.

3. Open Source and Community Development:

The Python language is developed under an open source license approved by OSI, which makes it freely available for use and distribution, including for commercial purposes.
In addition, the development is done by the community that works for your code by organizing conferences and discussion lists, and offers many modules.

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4. Ease of learning and support available:

Python provides excellent readability and a structured and easy to learn syntax that helps beginners to use this programming language. The code-like instructions, PEP 8, provide a set of rules to facilitate the format of the code. In addition, the broad base of active users and bank developers has resulted in a rich Internet resource that supports the ongoing development and adoption of the language.

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5. Easy-to-use data structures:

Python has built-in list and dictionary data structures that can be used to build fast runtime data structures. In addition, Python also offers the option of high-level dynamic data entry, which reduces the size of the required support code.

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6. Productivity and speed:

Python has a sleek design that enhances object-oriented process control capabilities and has strong integration capabilities and text its own structure and unit-test processing that helps to increase speed and productivity. Python is considered a viable option for building complex multiprotocol network applications.

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