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Learn Python
Python is a classical programming language which was
introduced around the beginning of the 1990s. The motive
behind developing a programming language like python was to
enhance code readability. Over the several advancements have
been made to polish the functionality of this programming
language and Python 3 is the recent version available to the
users.
I. Readable and Maintainable Code
II. Multiple Programming Paradigms
III. Compatible with Major Platforms and Systems
IV. Robust Standard Library
V. Many Open Source Frameworks and Tools
VI. Simplify Complex Software Development
VII. Adopt Test Driven Development
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.
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.
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.
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.
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.
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.
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.
Website:
https://www.myhomeworkhel
ponline.com/

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Python Assignment Help

  • 2. Python is a classical programming language which was introduced around the beginning of the 1990s. The motive behind developing a programming language like python was to enhance code readability. Over the several advancements have been made to polish the functionality of this programming language and Python 3 is the recent version available to the users.
  • 3. I. Readable and Maintainable Code II. Multiple Programming Paradigms III. Compatible with Major Platforms and Systems IV. Robust Standard Library V. Many Open Source Frameworks and Tools VI. Simplify Complex Software Development VII. Adopt Test Driven Development
  • 4. 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.
  • 5. 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.
  • 6. 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.
  • 7. 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.
  • 8. 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.
  • 9. 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.
  • 10. 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.