The global IT infrastructure consists of a series of trillion signals powered by cloud technology. It is fast gaining momentum in various computer applications, including programming. Servers can receive and transmit signals that help run complex operations through the cloud.
A case example of cloud-based software is Python, an interpreted programming language. It boasts unlimited applications, including machine learning, software testing, and web creation. Giant brands like Google, Dropbox, and Netflix already use Python in their programs.
Read on to learn more about Python, its uses, and why it is a preferred language for cloud applications.
First off, what is Python?
It is a computer programming language designed by Python Software Foundation. The cloud program is a general-purpose language applicable in solving various computer functions. Thus, it has no specialized programming function.
Python software, therefore, helps in building websites, software, data visualization, automating tasks, and performing critical tasks like data analysis.
What Are the Common Uses of Python?
Contrary to expectation, programmers and non-programmers find Python handy for day-to-day operations. Python’s top users include computer programmers, accountants, data scientists, project managers, and software engineers.
Below are common uses of the programming language in various fields:
Software Testing
The program has various applications in testing and bug tracking the newly developed software. Using Python, software developers can follow an automated system of testing the features and functioning of various software before the official launch. It contains software testing tools such as ‘Requestium’ and ‘Green.’
Web Development
Web designers are among the top users of the Python programming language. During web development, the software plays a critical role in creating back-end features of a website that are not visible to users. This includes data transmission to servers, URL routing, and data processing.
Data Analytics
Python is a pivotal part of data science that enables analysts to perform complex operations. The software comes in handy for statistical calculations, data visualization, and creating machine learning algorithms.
For instance, Python can help create a 3D model, graph, or chart. It also comes with a set of library codes that write programs.
What Are Cloud-Native Applications?
They consist of small, autonomous services that work collectively. Designers of cloud-native applications aim for a series of market benefits, such as quality improvement using customers’ input.
Cloud-native applications operate using internet-based computing techniques and tools. Therefore, companies prefer such apps because they are highly scalable and enable speedy data processing.
Typically, cloud-native applications offer seamless software creation and management. However, they rely on a robust cloud-native architecture containing relevant data.
Why Is Python the Preferred Language For Cloud Applications?
There are different programming languages currently in use. However, Python is among the most popular in enterprises for various reasons.
Here, we examine ten reasons why most organizations embrace the Python programming language.
1. Compatibility with Different Operating Systems
Python language supports multiple operating systems. Using python interpreters, you can run a code on a platform of your choice. And being an interpreted language, you can use it to run the same code on different platforms without recompilation. Regardless of the platform, all changes are available for immediate viewing.
Subsequently, any changes to the code don’t negatively impact the development time. However, since development time is a critical factor, some development tools come in handy. You can use tools such as Radon to enhance your code reviews.
2. Easy Integration with Existing Applications
The cloud platform has a network of systems that work collectively to access internet-based services. Therefore, you require an application that will easily integrate with all the systems. Most enterprises prefer Python because of the ease of integration with Java, NET, and other programming languages.
If you have existing cloud infrastructure, you need not worry. Python is the bridge that links both the new and old infrastructure.
3. Portable Programming Infrastructure
Python is a highly portable programming language that runs across various operating systems. An interpreted language software hosts dynamic data types, modules, and extensions. It also contains extensible interfaces that run through various systems.
4. Availability of a Standard Library
Python users boast of a standard library documenting all the software’s modules. Therefore, the vast library gives Python an upper edge over other languages. From the library, you can choose a module that suits your needs. You can also enable different functionalities without introducing another code.
5. Easy Interpretation of Language Codes
The program has a straightforward syntax and a series of easy-to-read codes. Unlike other cloud languages, the software has no compilation steps. Hence, you’ll have a smooth sail through the modules. The edit-test-debug cycle is one such process that is remarkably fast.
6. Requires Little Maintenance
Python users incur little maintenance costs incurred in software maintenance and re-programming.
First, it supports various reusable packages and modules. So, you wouldn’t worry about frequent replacements of the modules. Secondly, you’ll quickly identify the error in case of wrong input and raise an exception. The program should automatically pick up the exception, and if it fails, you print a stack tree.
7. A Rapid Development Speed
Unlike other languages, Python has a relatively faster development speed, ensuring you spend a shorter time during migration.
So, if you want a software to create a program prototype, then look no further. All you do is refactor your Python code and let it help you build a software prototype.
Furthermore, you can execute testing and coding simultaneously using a test-driven Python approach. Eventually, switching from the real Python language to the prototype and vice versa is an easy task.
8. Dynamic, Flexible, and Easy to Use
Sometimes, finding a qualified software developer to manage your cloud system may be challenging. Therefore, you require a system that is dynamic and easy to use. Python gives your IT staff a friendly and enjoyable user interface.
Moreover, Python is highly dynamic, as the system’s developers make regular changes. A new version containing enhanced features comes frequently. Therefore, your software developers will have a hassle-free software development process.
9. Supports Various Programming Paradigms
Python is a modern programming language that supports various paradigms. Therefore, it is the best tool for building huge and complex programming systems in an organization. You can work with other structured programs and language features that support functional concepts using the program.
Check out for example our review on Python for Object Oriented Programming, one of the most used programming paradigms in software engineering.
10. Availability of Different Tools for Diverse Projects
Enterprises using Python can benefit from various tools, and frameworks that reduce development time. Therefore, Python stands out as a programming language that offers free tools that help execute diverse projects.
Whether you have a data science project, game development, or image processing, you’ll find a tool to support the task.
As a result, enterprises can save on development costs and reduce their development time without affecting development costs.
Python: Is It Time to Shift?
Python remains the preferred choice out of hundreds of programming language applications today.
It offers various benefits: ease of use, compatibility with operating systems, reduced maintenance costs, and availability of a standard library. Besides, you’ll reduce development time and speedy delivery of programming functions.
If you are tech-savvy or work as a programmer in an enterprise, the time is ripe for a shift to Python.
How to Learn Python?
Python is one of the most friendly and easy to learn programming languages out there. If you’re looking to learn we have a lot of resources ready for you:
- Our Python books category, that has books of all sorts from beginner to expert.
- Our list of Python programming online courses.
- Our Tutorials category has many great Python programming resources.
Thanks a lot for reading us and have a great day!