27 Jan 2021

Why Python Is The Best Programming Language To Be Used In 2021?

Mobile apps are an inseparable unit of our lives, we cannot think of living without them. Here, the role of programming languages that help developers to focus on the quality of the app’s source code to simplify maintenance and updates, cannot be missed.

There is one particular language that eases down the woes of development, and that is Python.

What is Python?

In simple words, Python is a high-level programming language, lets developers focus on the core functionality of the application by taking care of common programming tasks.

Python is easy to use, powerful, and versatile, making it a great choice for both beginners and experts. Click to Tweet

Here, in this blog post, we have compiled a list of reasons to choose Python as a preferred language in 2021.

Benefits of selecting Python for your next app project

TBH, there is not just one, but multiple reasons to select this very language a selected choice to build mobile apps in 2021. Just keep scrolling further to understand it further…

Expedites the development process

With Python, there is no need of compiling the code and then run, rather developers can directly share the code’s feedback. This helps developers to complete the entire process of finishing and executing the app faster compared to any other programming language. 

Robust standard library

Python has a strong standard library that lets the developers pick modules from a wide range as per the requirements. It also gives an option to add functionalities later in the process without extra coding.

Easy to learn

Python, unlike other languages, and that is its syntax, which lets the developers demonstrate concepts without writing any additional code. This indeed helps in making complicated things easier, further, this very language focuses on code readability and lets developers use English keywords instead of punctuation marks. This results in a seamless journey for the developers to bring a scalable app solution into existence.

The best option for Big Data integration

Big Data is creating a stir in the market, due to various reasons and Python is the most preferred language for its development. With Python, it becomes easy to access a large number of libraries and code faster and easier.

Compatible with a wide number of OSs

Python functionalities are not limited to one specific OS, but a wide variety of OSs are compatible with this language. Developers can run the same code across multiple platforms and the modified app code without any recompilation. Also, it gives a choice to developers to see the changes made in the code instantly.

Larger community

For a new technology to work efficiently, community support is an inevitable aspect. And this is where, Python comes into action and offers guides and tutorials, to use this language smartly.

Python in AI, ML, and DL

The very concept of computer-based intelligence or artificial intelligence is positively impacting the world we live in. To meet the demand of new applications, developers prefer using Python as their go-to programming language for AI, ML, and DL apps. This can be popular because, Python has pre-built Libraries like Numpy for scientific computation, Scipy for advanced computing, and Pybrain for machine learning. Further, with Python, any app idea can easily be validated with 20-30 lines of code. Henceforth, Python is a preferred language for the apps integrated with AI, ML, and DL.

Popular apps built with Python 

  • Pinterest
  • Spotify
  • Instagram
  • Reddit
  • Uber

Popular Python frameworks

  • Django – To call it an incredible open-source Python Framework would not be wrong. Since there is not just one but multiple aspects that help in streamlining web app development via different features.
  • Flask- It is built on Werkzeug and Jinja 2 and does not need tools and libraries like other frameworks. It offers support for unit testing, restful request dispatching, among many others.
  • CherryPy- It is an open-source framework that holds the potential to integrate features like setup framework, thread-pooled web server, and module framework.
  • Pyramid- Indeed, this framework is highly adaptable, which works efficiently for the easy and complicated app. It is also useful in creating app prototypes while offering transparency and high-quality features.
  • Web2Py- For mobile app development, this is the most popular Python Framework. It has a debugger and a deployment tool, enabling developers to debug and build the code effortlessly.

Use cases of Python 

Automated Testing 

Yeah, for automated testing, Python is the language of choice. It brings along a glut of libraries and tools to carry out automated tests.

Image Processing and OCR

Python libraries have PyTesseract for OCR, Python Imaging Library (PIL), and TensorFlow for object detection. This enables developers to build apps having computer vision capabilities and self-contained deep learning.

Web Crawlers

Web Crawlers are also known as Spiderbot, which are used to duplicate all the visited pages of the world wide web. Further, it indexes the downloaded pages to support fast searches. With Python, you can easily create web crawlers, as it offers simple and fast coding.

Web and App Development 

It is very easy to understand code with Python and this is what makes the complete process more efficient. With the help of Python, developers can create web apps from scratch, as it supports different internet protocols like XML, JSON, and HTML.

The Bottom Line

Well, Python is an impeccable option for developing business applications, and it has touched heights of popularity due to its scalability, flexibility, and incredible functionalities.

If you are looking forward to building a successful digital solution for your business needs, then you must opt for this language.

Give us a call to craft out a seamless app for your business.



Ankit Singh


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