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.
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.
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.
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.
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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