While building any software or application, the choice of programming language is an important decision because it defines the basic structure, architecture, and different possibilities of the application.

Whether it is for smartphones, computers, smart TV, wearables, scalable web applications, we need to pay close attention to for whom we are developing the application, what are the challenges it is going to solve, and how they are going to impact the overall application interface to decide what programming language to choose.

Speaking of options, we have got a lot of impressive ones to choose from.

One such multi-purpose programming option is Python.

Python provides impressive solutions for programming requirements. Today, commit that Python is their main language. TIOBE has put Python — 2007, 2010, 2018, 2020.

In this blog, I am going to share why you should also consider Python for your next project stock.

But before we dive deep into discussing the benefits to use Python, let's begin by getting an overview of the programming language.

Python is an interpreted, high-level, general-purpose programming language with excellent built-in data structures. It supports dynamic typing and dynamic binding to deploy Rapid with ease.

It can also work as scripting or glue languages to connect existing components.

Python can work on the server-side of web applications and can also impact the user experience on the front end.

It also works flawlessly with database management systems to easily read, write and modify database files.

Speaking of emerging technologies, like machine learning and artificial intelligence, Python has got you covered.

It can work with complicated data structures and perform high-level mathematical calculations.

It is ideal for quick prototyping and making deployment-ready software.

A developer named Guido van Rossum from the Netherlands founded Python in 1991.

He started working on this programming language in the late 1980s at Centrum Wiskunde & Informatica.

With a view of making Python the predecessor of ABC Programming Language, its active implementation began in 1989.

In July 2018, Guido van Rossum announced his retirement from the responsibilities of Python. Since then, the active Python developer community chose a 5-member committee to lead the project.

According to PYPL, as the most popular programming language.

Now that you know about Python and its inception story, let's dive right into why you should use Python in your development projects.

Python programming language uses concise source code that makes it easy for a non-technical person to read the source code and comprehend it.

It is an important benefit from the adaptability’s standpoint as the source code is readable without much effort. And the syntax is not very complicated to follow through just like developers have to follow through the syntax in C++, Java, C#, and others.

Therefore, you can focus more on building applications instead of worrying about the syntax, rules, and regulation of the programming language.

The way structure is designed, developers can express their logic and creativity with minimal code; which means the overall output is more efficient and programming activities are productive.

The program written in python is very intuitive. It's written in plain English where everything is clearly defined and you can clearly understand the objective of the snippets.

For example, in an built on Python, let’s assume there is a change in the development team and new people are looking over the operations.

In such cases, other developers can work with the existing source code and complete the given tasks with the same efficiency, thanks to the code’s better readability.

When you work with C, C++, or Java, if the development team changes, then the new guys will have a hard time comprehending the code as developers have different preferences and styles to code. But that’s not the case with Python.

When you are working in extensive application development, you end up with heavy source code files and elongated lines of code snippets.

That means, heavier source code files will take more time to debug and compile.

Plus, it’s time-consuming for developers too when they manually review the code and test it.

Developers have to do a lot of back and forth to determine whether the source code is perfectly written, whether the variables are perfectly defined along with class, methods, and so on.

With this process, the overall development cycle increases, which will impact the overall production cost, opportunity cost (concerning the time taken to test the code), and development cost.

When it comes to Python, its intuitive nature and robust structure make it easy to review. You can quickly scan through the source code.

Compared to how other programming languages, like C, C++, and Java, require a block of snippets to execute something, Python programming language requires fewer lines of code to execute the same thing. This way, Python is more optimized and performance-friendly for applications.

Moreover, thanks to fewer lines of code, the debugging and testing processes also become quicker which results in productive development.

Compatibility is a crucial factor. It determines the usability and user-friendliness of an application.

Let's say you have a very helpful application that runs only on Windows. Now, you cannot run it on Mac or Linux operating systems. If you want, you have to build applications for other operating systems from scratch.

Otherwise, you have to purchase and manage specific hardware and software environments to run the application which increases the overall maintenance costs.

So, the usability is compromised and has become limited in this example.

When it comes to compatibility, Python works the best.

It runs on almost all the major operating systems including Mac, Windows, and Linux.

It also provides you interpreters to run code on dedicated platforms and systems.

This makes the Python programming language a no-brainer since the developers will no longer have to worry about compatibility for running their applications anymore.

Plus, you no longer have to recompile to run the application. Most other programming languages have to recompile the code if you change the source code.

If you make any changes in your source code and want to test the code, you have to recompile the program.

The more extensive the program, the higher time taken for recompilation.

If the developers have to keep recompiling every time there is even a minor change in the source code, it will consume a lot of time.

Python saves the day during such scenarios.

You can make as many changes to your code as you want. You are no longer required to recompile the code to check and test after every edit.

This beauty of Python’s compatibility does not end here. If you prefer working on other programming languages, Python has got you covered!

Python provides comprehensive support and real-time synchronization with other programming languages like C#, Ruby, Objective-c toolkits, Java, and others.

A good programming language must cope with all the possible scenarios — working with databases, entertaining users at the front-end, running scripts on servers, implementing new technologies, going cross-platform, and so on.

If the programming language that you are working with is not scalable, then you have to custom code everything and deploy your project, or you might have to change the programming language and build everything from scratch.

In all these cases, lack of scalability will impact your production, time, and resources costs.

Python has answers to all your requirements.

Thanks to its versatile competency, whether you need mobile application development, local software, scalable web application, website development, or cloud infrastructure, Python can handle almost anything.

With this nature, Python developers can bring a lot of benefits in an application.

You no longer need to switch between programming languages, integrate complicated modules while making sure everything is efficient.

You get a single programming language that works in all the scenarios which again makes it a no-brainer for your project development activities.

Plus, you get into the all-in-one hiring process. You don’t need developers for web, mobile, desktop, and so on.

Python developers can work with servers, mobile, SaaS, web apps, cloud, and website development activities using the programming language.

In a programming language, you have a set of library files that execute the methods and functions defined in the source code.

Library files bring the functionality to life and execute them as required.

The more complicated the software or the application, the considerably more library files you need to execute the code.

Hence, you must make sure that the prospecting programming language should have enough library files that support all the functionalities that you are looking to integrate.

Python has a robust set of libraries. There is PyPI which supports over 85,000 Python scripts and modules that you can utilize in your source code.

All these scripts and modules have readymade functionalities that you can implement right away in your source code without any extensive programming.

There are thousands of other helpful Python libraries for different purposes like artificial intelligence, machine learning, data analytics and blockchain, and so on.

Open-Source platform or software allows its users to use the platform for commercial and personal purposes without paying anything to anybody.

Moreover, open-source also means that you get complete control over the core programming languages and redefine the entire structure based on your requirements.

Python has always been an open-source programming language, being the most favorite and user-friendly programming language out there.

With its open-source nature paired with a robust set of libraries, opportunities become limitless and the number of features is countless with Python; that too, absolutely free.

The necessity of founding computers and programming languages is to implement automation and save people's time and improve their lives.

In this journey, the programming has become entangled with a mammoth of work that developers require automation to do the heavy and monotonous coding tasks so that they can save time and energy and use where they are needed.

When it comes to Automation, Python never disappoints. It supports scripting automation so that developers can achieve efficiency and the application’s performance is optimized.

Moreover, Python scripting can be used unlimited times irrespective of hardware and software infrastructures. Python scripts are executed during runtime, so the errors will be checked during that time only. That means you can run code as many times as possible and attain next-level productivity in your development life cycle.

Availability of manpower is a critical factor while choosing a programming language.

Let’s say a prospective programming language supports all the features, dynamic use cases and has the characteristic that you are looking for; but it lacks enough manpower to write the code. Not many people are using that language to write code; that means, you will have a hard time finding the right people to work on your project.

Any tool or platform that you are considering using for projects, should have a relevant track record and enough experts to help you out when you need any consultancy or advice.

When it comes to Python, millions of people and thousands of brands are actively using Python regularly. out of the entire World Wide Web, are made using Python as a server-side programming language. And for Windows.

Python’s development team and community are one of the most engaging and active programming out there.

You can easily find Python developers worldwide, so your development cycle will not affect at any moment.

Without any doubt, artificial intelligence, machine learning, blockchain, data analytics, and automation are the future of information technology.

These technologies are already impacting our daily life and making them better without us knowing them.

If you are a data scientist or analyst who loves to indulge in numbers and percentages, Python has got the right set of libraries for data analytics for things like developing web services on REST API, enabling sentiment analysis, and establishing computer vision.

Python has good libraries like Keras and TensorFlow that enable artificial intelligence and machine learning capabilities in your source code. You get OpenCV for image recognition and computer vision features.

For distributed-ledger programmers and enthusiasts, you can achieve scalable applications and ultra-responsive performance with .

Python is used to develop desktop applications and games. You get a set of libraries for HDR image processing, 3D image rendering, and realistic color-tuning for game development.

Python is easy to learn and master.

Unlike other programming languages, you go through a steep learning curve where as an organization, you invest a lot in training and development of programming skills among new hires; which will increase the lifecycle of the development, operational costs and impact the overall efficiency.

When you work with Python, you no longer have to juggle a lot of technicalities. Even someone without technical degrees or educational background in computer and science can master this language thanks to its intuitiveness.

Therefore, for freshers, Python becomes a no-brainer to quickly begin a career as a developer.

I hope you found this article helpful and will give serious thought to considering Python as a solid alternative to programming languages.

Do let me know what you think? I am excited to hear back from you.

If you have any questions, feel free to connect with me.

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