7 Reasons Why You Must Consider Writing Software Applications in Python
1) Readable and Maintainable Code
While
writing a software application, you must focus on the quality of its
source code to simplify maintenance and updates. The syntax rules of
Python allow you to express concepts without writing additional code. At
the same time, Python, unlike other programming languages, emphasizes
on code readability, and allows you to use English keywords instead of
punctuations. Hence, you can use Python to build custom applications
without writing additional code. The readable and clean code base will
help you to maintain and update the software without putting extra time
and effort.
2) Multiple Programming Paradigms
Like
other modern programming languages, Python also supports several
programming paradigm. It supports object oriented and structured
programming fully. Also, its language features support various concepts
in functional and aspect-oriented programming. At the same time, Python
also features a dynamic type system and automatic memory management. The
programming paradigms and language features help you to use Python for
developing large and complex software applications.
3) Compatible with Major Platforms and Systems
At
present, Python is supports many operating systems. You can even use
Python interpreters to run the code on specific platforms and tools.
Also, Python is an interpreted programming language. It allows you to
you to run the same code on multiple platforms without recompilation.
Hence, you are not required to recompile the code after making any
alteration. You can run the modified application code without
recompiling and check the impact of changes made to the code
immediately. The feature makes it easier for you to make changes to the
code without increasing development time.
4) Robust Standard Library
Its
large and robust standard library makes Python score over other
programming languages. The standard library allows you to choose from a
wide range of modules according to your precise needs. Each module
further enables you to add functionality to the Python application
without writing additional code. For instance, while writing a web
application in Python, you can use specific modules to implement web
services, perform string operations, manage operating system interface
or work with internet protocols. You can even gather information about
various modules by browsing through the Python Standard Library
documentation.
5) Many Open Source Frameworks and Tools
As
an open source programming language, Python helps you to curtail
software development cost significantly. You can even use several open
source Python frameworks, libraries and development tools to curtail
development time without increasing development cost. You even have
option to choose from a wide range of open source Python frameworks and
development tools according to your precise needs. For instance, you can
simplify and speedup web application development by using robust Python
web frameworks like Django, Flask, Pyramid, Bottle and Cherrypy.
Likewise, you can accelerate desktop GUI application development using Python GUI frameworks and toolkits like PyQT, PyJs, PyGUI, Kivy, PyGTK and WxPython.
6) Simplify Complex Software Development
Python
is a general purpose programming language. Hence, you can use the
programming language for developing both desktop and web applications.
Also, you can use Python for developing complex scientific and numeric
applications. Python is designed with features to facilitate data
analysis and visualization. You can take advantage of the data analysis
features of Python to create custom big data solutions without putting
extra time and effort. At the same time, the data visualization
libraries and APIs provided by Python help you to visualize and present
data in a more appealing and effective way. Many Python developers even use Python to accomplish artificial intelligence (AI) and natural language processing tasks.
7) Adopt Test Driven Development
You
can use Python to create prototype of the software application rapidly.
Also, you can build the software application directly from the
prototype simply by refactoring the Python code. Python even makes it
easier for you to perform coding and testing simultaneously by adopting
test driven development (TDD) approach. You can easily write the
required tests before writing code and use the tests to assess the
application code continuously. The tests can also be used for checking
if the application meets predefined requirements based on its source
code.
However,
Python, like other programming languages, has its own shortcomings. It
lacks some of the built-in features provided by other modern programming
language. Hence, you have to use Python libraries, modules, and
frameworks to accelerate custom software development. Also, several
studies have shown that Python is slower than several widely used
programming languages including Java and C++. You have to speed up the
Python application by making changes to the application code or using
custom runtime. But you can always use Python to speed up software
development and simplify software maintenance.
No comments:
Post a Comment