Migration of Applications to Python is the most prudent Decision
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.
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