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6 Essential Reasons Why You Should Choose Python As your Next Web Application Project

Python is an object-oriented programming language capable of writing clear and logical codes for apps and websites. It consists of various programming levels, including Procedural, Functional along with Object Orientation. Recent studies show that Python is quite popular amongst both beginners and Data Scientists. The latter comprises a 66% share in 2019, increased by 7% since 2017.

Python has better readability as compared to its other counterparts. And due to its higher density of syntax apps like Pinterest and Instagram use Python for programming. Plus, it encourages productivity levels through its source-level debugging procedure that includes the edit-test-debug cycle.

Why You Should Choose Python

Whether its a small or large business, an online presence is a must for everyone. Python deals with complex and standard procedures alike. Developers can utilize it for data science, machine learning, artificial intelligence, and other next-generation technologies. Following are some of the reasons why you should choose it for your next project:

In-built Libraries

Python has powerful in-built libraries that make the foundation of an advanced and precision-based language. Developers can select their modules as per their needs, specific to their requirements like performing string operations, implementing various web services, etc. The interface of the operating system and working with different Internet protocols also gets more comfortable with Python.

The most significant advantage of using so many modules from such a robust library is that developers can even add different functionalities without more coding. The collection of libraries ranges from NumPy to SciPy and PyBrain for scientific, advanced scientific and machine learning, respectively. Developers can also use sci-kit-learn and nltk libraries for emphasized machine learning and natural language processing. Python also simplifies the cross-platform procedures with its library-like tools.

Fewer Codes

Since Python doesn’t require writing additional codes, its more comfortable to use and learn. Plus, it can handle any complexities and has the power to manage any domain. Its intuitive nature leaves behind the constant need to look up references. And the language isn’t very formal like developers find in Java or C++. One of the best parts of using Python is its quite forthright syntax. It enhances working neatly in white space indentions, making it a clean looking code.

Moreover, Python isn’t inconsistent with its naming structures. It prevails from module to module and thus leaves less margin of mistakes in syntax. Its easy integration with any IT infrastructure makes it stand well ahead above other current modern languages. TIOBE index also claims that Python is usually a preferred language over others like Perl, Ruby, and Java.

Platform-Friendly

No operating system is new for Python. It supports any platform, and the developers can utilize its interpreters for specific platforms, modules, and tools. Plus, it enables developers to operate with the same codes on more than one platform. Since it is an interpreted language, it doesn’t need any recompilations. Hence, it reduces the time for altering the code and see its impact on the code after modifying it.
Its object-oriented approach opens many possibilities for the developers to choose their desired framework. On one hand, Django helps in handling full-stack operations and used by high web-traffic sites. Contrastingly, Flask is a lighter solution to develop code for micro-frameworks. It enables developers to have a secure server and helps in customizing backend features.

Flexible and Scalable

Plus, its flexible nature helps developers to scale their websites and applications. Many industries use it for different purposes right from web administration to voice over IP. Since it doesn’t cater to a particular need, it doesn’t have specific templates. Thus, it is capable of developing all types of applications rapidly. It can quickly adapt to evolving user requirements without changing its fundamental documentations.

Even after being an OOP (Object-Oriented Programming) language, developers have the flexibility to switch between OOP and scripting approaches. Python enables a natural organization and association of different data structures together. Moreover, it also gives developers an option to verify the majority of coding in an Integrated Development Environment (IDE). Such an opportunity helps those developers who find it challenging to implement algorithms.

Open-Sourced Language

Python’s open-source nature helps developers to cut the development cost and time almost up to half. Its frameworks, libraries, and tools like Pyramid, Cherrypy, Bottle, etc. assist in speedy and simplified web development. Similarly, developers can also smoothly accelerate desktop GUI applications with its tools like PyJs, PyGUI, PyGTK, WxPython, etc.
Plus, Python is a highly expressive and profound language. It merely means that a single code line has more prominence than a single line of any other language. Also, it is easier to maintain with even fewer bugs. It is a complete framework that conceptualizes the “batteries included” approach. It means developers don’t need to install additional libraries while installing Python. Hence, it already includes everything from databases, GUI development, and email web pages.

Different Programming Levels

Python’s functionality of using a single code across different platforms makes developers capable of tackling any query related to data. Since Big Data is a highly emerging component, new platforms have to be compatible with Hadoop, Storm, NoSQL. Python’s class-apart features include automatic management of memory and dynamic system. It makes Python convenient and significant in developing complex applications.

Different numeric and scientific applications are more comfortable to develop with Python’s data analytic and visualizing features. Its data analytics features enable developing innovative Big Data solutions. Plus, its libraries and programming interfaces, equipped with data visualization, helps developers in visualizing and presenting data efficiently and attractively. Python also simplifies accomplishing tasks that require artificial intelligence and NLP.

Winding Up

Web development with Python assists developers in building interactive user interfaces. Moreover, its reliable and intuitive nature makes it a preferred choice for introducing machine learning too. The current era is opening up many possibilities with the Internet of Things. And Python brings excellence in exchanging and communicating data. Python’s Raspberry Pi is a great example that enables the development of small devices like radios and cameras. Python helps in facilitating a smoother development process that is easier to maintain, flexible, and scalable in the future.

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