Top Reasons why Python is widely used in Enterprise

Top Reasons why Python is widely used in Enterprise

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Perhaps adjectives such as simplicity, popularity, efficiency and time-to-market best describe this programming language. Wondering what we are talking? Well, it’s Python – the interpreted, high-level, object-oriented programming language with dynamic semantics which has the developers falling in love with it.

There are several reasons that put Python at the forefront of enterprise application development making it one of the most widely used programming languages in enterprises. Let’s deep-dive to know more about the top reasons for the enterprise choice.

Easy Readability and Program Maintenance

Essentially, unlike other programming languages, Python is easy-to-learn and its straightforward syntax emphasizes code readability and reduces the cost of program maintenance. Promoting program modularity and reuse, Python supports modules and packages. With no compilation step, it’s a smooth sail for the developers as the edit-test-debug cycle is amazingly fast. The interpreter is the real winner of Python. In the account of any bug or bad input, the interpreter identifies the error, and it raises an exception without causing a segmentation fault. If the program doesn’t pick up the exception, the interpreter prints a stack trace.

Proven Technology Adopted by Enterprises

Perhaps one of the best ways to determine the suitability of the technology for an enterprise is to check if other enterprises in the industry have used it or not. The technology landscape is replete with instances of enterprises and IT behemoths such as Google, Instagram, PayPal, YouTube, Dropbox etc. which run on Python. By this, it is evident that Python can match up to the large enterprise needs helping businesses achieve operational enhancements and gain a competitive edge.

Multiple Programming Paradigms

Similar to any other modern programming languages, Python supports multiple programming paradigms. In addition to fully supporting object-oriented and structured programming, its language features also support concepts in functional and aspect-oriented programming. Together with programming paradigms and language features, Python proves to be a great choice for developing large and complex enterprise scale applications.

Supports Major Operating Systems and Platforms

Python is compatible with many operating systems. Python interpreters could be used to run the code on any specific platform and tools. Since it is an interpreted programming language, you can run the same code on multiple platforms without the need for recompilation. The modified application code can be run without any recompilation while checking the impact of the changes immediately.

With this feature, changes to the code can be made without impacting or increasing the application development time. Development speed has an impact on the critical areas of large enterprises. With a significant number of helpful development tools such as Flake8, Pylint, Radon etc. it is faster to do code reviews in Python.

Large, robust standard library

The existence of vast robust standard library stands in favor of Python giving it an obvious advantage over other programming languages. With the standard library, you can choose from a wide range of modules according to your specific needs. Further, with each module, you can add functionality to the Python application without writing any additional code. Python enables you to browse through its Standard Library documentation to gather information about the various modules.

Extensive open source frameworks and tools

One of the significant features of Python that’s best suited for enterprise development is its cost factor. It is an open programming language enabling large enterprises curtail they development costs. The several open source Python frameworks, libraries and development tools help you reduce your development time without impacting the development costs.

It offers several free tools that are extremely useful in diverse projects such as web development, data science, GUI interfaces in addition to computer vision, image processing and game development. The presence of tools in the Python Package Index is one of the critical factors rendering speed to application development in Python. The presence of many ready-made modules accelerates the development process.

Fast Prototyping

Due to its fast development speed, Python is proving to be a great choice to create the prototype of the software rapidly. Besides, by merely refactoring the Python code you can build the software directly from the prototype reducing the team migration time considerably. By adopting a test-driven development (TDD) approach, you can effortlessly execute coding and testing simultaneously using Python. Thus, switching from prototype to the real solution is a smooth game for the developers without compromising on their previous work.

Smooth Integration

Inter-connected systems are the hallmark of enterprise application architecture. Any new application has to integrate with the existing application network smoothly. One of the anchoring reasons for choosing Python in enterprises is that developers can integrate Python with traditional enterprise-level programming languages such as Java (using Jython), .NET (IronPython) or PHP (PiP – Python in PHP).


In case of an enterprise where an IT infrastructure already exists with complex and inter-connected enterprise applications, Python works as a glue to bind together the new and old infrastructure fragments.

Complex software development made easy

Since Python is a general-purpose programming language, it finds its use extensively in the development of desktop and web applications. Even complex scientific and numeric application can be well developed using Python. With features to facilitate data analysis and visualization, you can custom develop Big Data solutions without additional effort or time. Also, Python provides data visualization libraries and APIs which makes life easier for developers by helping them visualize and present data more attractively and effectively. In many cases, Python has found its application in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) tasks.

Comfortable to use

Legacy systems and technologies are undesirable part of enterprise IT solutions. Finding qualified people with the right skill set is more than a necessity to manage the systems and applications in an enterprise. By choosing Python as your technology platform for enterprise application development, developers are incredibly comfortable using it. Since it is dynamic and keeps evolving, every couple of months, a new version is released with additional features, enhancements and bug fixes. It invariably keeps the developers’ moral upbeat as enterprise software development is complicated and time-consuming.

Ease of portability

As an interpreted, interactive, object-oriented programming language, it combines modules, exceptions, dynamic typing, very high-level dynamic data types, and classes. With unambiguous syntax, it has interfaces to various windows systems and is extensible in C or C++. Python is portable as it runs on several variants of Unix, on the Mac, and Windows 2000 and later versions.

Tech giants using Python as their technology for application development

Spotify – the Swedish audio streaming platform uses Python for 80% of its back-end services and data analysis purposes.

Instagram – powering the giant tech company’s 95M photos and videos by its 400M of daily active users is Python along with Django (Python’s framework).

Amazon – the American multinational technology company is another big player of Python due to its features for Big Data.

Facebook – the social media giant has Python at the core to process images. It is used for the back-end applications connected with image processing.

Google – the internet services and products IT behemoth, has recognized Python as an official language alongside Java and C++ and continues to use, promote and support the language.

Conclusion

A few years back, Python was used for offshore development of smaller projects. But, today it isn’t surprising to know that companies are delivering client projects developed on Python. There are several other programming languages like PHP, C++, Pearl etc. But, what creates stickiness to Python is it is a straightforward language structure which supports cross-platform implementation such as Windows, Linux, Mac OS and Unix systems. As an enterprise software development language, Python is guaranteed with growing community support too.

Let’s find out how out the world’s most trusted Salesforce Implementation Partner can help you with Python.  Call us now.

 

Akshay

Akshay Dhiman

Chief Technical Officer
"Akshay Dhiman, the CTO of Cloud Analogy, has been a standout and successful Salesforce Platform Developer for years. He has a rich experience in Salesforce Integration, JavaScript, APEX, VisualForce, Force.com Sites, Batch Processing, Lightning, PHP, C++, Java, NodeJs, ReactJs, Angular 8, GraphQL, React Native, Web Technology, and jQuery. Known for his problem-solving and debugging skills, Akshay is an out-of-the-box thinker and his capability to understand the business context and translate it into a working model is par excellence. Akshay would not only translate his thoughts into reality but would also bring in his own perspective that is always a tremendous value add. Akshay has the knack of taking challenges head on, equipped with In-depth industry knowledge, Resourcefulness and uncanny nag to build relationship with anyone in shortest time possible. Not only does he possesses fantastic technical depth and awareness but Akshay also complements them with a profound understanding of business functionalities, tools, and methodologies. He has the rare combination of skills and talent that one looks for in Salesforce – attention to detail and the drive for innovation."

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