Migration of Applications to Python is the most prudent Decision

MIGRATION OF APPLICATIONS TO PYTHON IS
THE MOST PRUDENT DECISION
Mindfire is a software service provider, with unrelenting focus on
small-team offshore software development using Agile methods.

Python is one of the top 10 most popular programming languages of
2021, according to the latest PYPL Index. It’s a no-brainer that if you want
your software to perform better in the long run- Python is the best choice.
If you use a different language for your applications, you can consider
moving your applications to Python.
Why is Python Better than Other Languages?
To highlight the efficiency that Python provides, let’s compare it to the
other programming languages that exist below:
1. Java
Python applications are intended to execute slower than Java ones but to
be developed faster. Python applications are usually 3–5 times shorter
than Java ones. Python’s built-in high-level data types and dynamic typing,
account for this discrepancy. Python’s strong polymorphic list and
dictionary types, with extensive syntactic support built-in, are used in
virtually every Python application.
2. JavaScript
Python’s “object-based” subset is JavaScript. Python, like JavaScript (but
unlike Java), allows basic functions and variables without class
declarations. But for JavaScript, that’s all. Python, on the other hand,
encourages bigger applications and greater code reuse via an object-
oriented programming approach that emphasizes classes and inheritance.

3. Perl
Both Python and Perl share a similar history (UNIX scripting) but
vary in their philosophy. Perl emphasizes application-oriented
capabilities like regular expressions, file scanning, and report
generation. Python helps programmers to create legible (and
therefore manageable) code by offering an elegant but not too
obscure syntax. As a result, Python rivals Perl in its initial application
area but has much broader applicability.
4. Tcl
Tcl, like Python, may be used as an extension language or as a
standalone programming language. However, Tcl is poor on data
structures and runs ordinary code considerably slower than Python.
Large-scale programming tools like modular namespaces are
absent from Tcl. While a large Tcl program includes custom Tcl
extensions written in C or C++, a comparable Python application
may frequently be built in “pure Python”. Tcl 8.0 introduces
namespaces and a byte code compiler to solve performance issues.
The programming language remains considerably more complex.

5. Smalltalk
Python’s more “mainstream” syntax provides it an edge in programmer
training. Python uses dynamic type and binding, and everything is an
object. The difference between built-in types and user-defined classes is
that built-in types cannot inherit. With email, HTML, and FTP, Smalltalk’s
standard library is more polished, whereas Python’s library offers more
Internet and WWW features.
Python has its approach to the development environment and code
delivery. Instead of a single “system image” containing both the
environment and the user’s application, Python saves both in separate
files that may be readily reorganized or transferred outside the system.
Because the GUI is not built into the system, there are many ways to
connect it to a Python application.
6. C++
Almost everything stated about Java also applies to C++, except that
Python code is usually 5–10 times shorter than comparable Java code! A
Python programmer can accomplish in two months what two C++
programmers cannot do in a year. Python excels as a glue language for
C++ components.

What are the benefits of migrating to Python?
1. Code is easy to read and maintain
To make program maintenance and upgrades easier, the source code
should be of high quality. Python’s grammatical rules allow you to express
ideas without writing additional code.
Aside from focusing on code readability, Python enables you to utilize
English keywords instead of punctuation. Thus, Python can be used to
create customized apps without writing code. Because the code is clean
and tidy, it will be easier to maintain and update in the future, saving time
and resources.
2. Programming Paradigms of Different Kinds
Python, like other modern programming languages, supports many
programming paradigms. Structured and object-oriented programming is
both fully supported. Aspect-oriented and functional programming is aided
by the language’s features.
Python also has a dynamic system and memory management that is fully
automated. Large, sophisticated software applications using Python’s
language and features are easy to create using its programming
paradigms and language features.

3. Compatibility with all major computer platforms
Python presently runs on a wide range of OS. Many systems and
tools support Python interpreters. As a consequence, the code may
be used on many platforms without recompiling. The aim is to test
run the program without recompiling to see the changes in action.
This functionality enables you to make code changes fast and
easily, reducing code development time.
4. A solid standard library
Python has a large and powerful standard library compared to other
programming languages. You can choose from a wide range of
options and each module may be used to extend the Python
program’s capabilities.
Python, for example, includes modules for creating web services,
text manipulation, operating system interfaces, and internet
protocols. To learn more about modules, see the Python Standard
Library documentation.

5. Many open-source frameworks and applications
It is free and open-source, and it allows you to substantially reduce
software development costs. Many open-source Python frameworks,
libraries, and development tools may be downloaded for free, saving time
and money.
Depending on your requirements, there are several free open-source
Python frameworks and development tools available.
Using sophisticated ePython web frameworks like Django, Flask, Pyramid,
Bottle, and Cherrypy may speed up the development of online
applications. Python GUI frameworks and toolkits like PyQT and WxPython,
as well as PyJs and PyGUI, may help DevOps processes.
6. Simplifying Development
Python is a general-purpose programming language that may be used for
many purposes. The language may be used to create desktop and web
apps. Python is a computer language that may be used to build
sophisticated scientific and numerical programs.
It simplifies data processing and visualization, for example. These abilities
may be used to build bespoke big data solutions in Python. Python also
has a data visualization module and API that makes it easier to explore
and present data. Many Python programmers use Python to perform AI
and NLP tasks.

7. Test-Based Development
Python is a programming language for fast software prototyping. The
software application may be built by simply rewriting Python code.
Python’s test-driven development (TDD) methodology makes writing and
testing code simpler than other languages. One can create the necessary
tests before developing the code, and use them to constantly evaluate the
application’s code. The tests may also be used to assess if the program
meets certain requirements based on the application’s source code.
8. Easy Automation
Python is less verbose and easier to use when compared to other
programming languages that may be used for Selenium test automation,
such as Java and C++. The fact that Python is a scripting language
eliminates the requirement for the automation engineer to worry about
running a compiler to transform the code into an executable file.
Python applications and use cases:
Python can be put to a lot of uses from business analytics to finance. It is
a cross platform and may be used to create native Windows and Mac
apps. The list below highlights some of its uses:

1. Internet and Web Design
Python has several options for sophisticated web development. The front
end of an application is usually built-in HTML or JavaScript. Backend or
server-side functionality is handled by Python-based web frameworks like
Django, Pyramid, and Flask. Google and YouTube rely heavily on Python for
key infrastructure.
Python’s standard library supports HTML, XML, JSON, Email processing,
FTP, and IMAP.
2. Game Design
Python has a wide range of tools and libraries for game development. The
popular early 2000s shooting game Battlefield 2 was created in Python.
Popular games using Python include Sims 4, World of Tanks, Eve Online,
Mount & Blade, Doki Doki Literature Club, and Disney’s Toontown Online.
3. Computing Numerical Science
The Python environment provides several tools and modules for scientific
and numerical computation. There are packages available for math,
science, and engineering. Pandas is a data analysis and modeling
package. IPython is a powerful interactive shell that facilitates editing,
recording, visualizing, and parallel computing. FreeCAD and Abaqus are
Python-based numerical and scientific apps.

4. Artificial Intelligence and Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) are all about
algorithms, code, and logic. Programming languages like Python and R are
widely utilized to build AI and ML solutions. Python’s flexibility, reliability,
and security make it excellent for operating AI and ML systems.
5. UI for PC
Python is a great option for desktop GUI development. The language
provides several possibilities for creating a fully functioning GUI. Python
framework’s rich syntax and modular programming techniques help build
a lightning-fast GUI.
PyQt, Tkinter, wxWidgets, Python GTK+, and Kivy are popular Python GUI
tools. Dropbox and BitTorrent are both written in Python.
6. Business Applications
Python is used to develop ERP and eCommerce applications. Business
applications vary from consumer software in that they provide a limited
set of functions rather than a wide range. They also target a small user
group, typically an organization. Python is ideal for creating high-
performance bespoke business and consumer applications.

Conclusion
If you need a programming language that gets things done in a
moment- Python is your best bet. Being a dynamically typed
language, Python is easier to read and write. Developers rely on
Python to complete repetitive tasks, and it is THE language for data-
intensive applications and fields. It sees extensive application in the
field of Data Science, AI, and machine learning. If you want to make
a switch, there is no better time than now.
Like other businesses, if you too are looking for Application
development or migration, Mindfire Solutions can be your partner of
choice. We have deep expertise in Python migration. With a team of
highly skilled and certified software professionals, that have
developed many custom solutions for our global clients over the
years.

THANKS YOU
Contented by: Mindfire Solutions
Content Source: Medium

Migration of Applications to Python is the most prudent Decision

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