Why Python is Still the Ruling Language in the AI world

Supercharge your coding skills with Python.

With its burgeoning growth, Python has become one of the world’s popular snake-y language. Wouldn’t you love to add this programming language to your skillset?

Python, the most popular language amongst coders has also been the greatest choice by these world-class software companies – Google, Facebook, Spotify, Instagram, Quora, Industrial Light and Magic, Dropbox, Reddit, Netflix, Uber, and Pinterest.

Based on the insights by Stack OverflowDeveloper 2019 survey, Python projects to be the most wanted programming language third year in a row.

Let’s dig deeper.

Python is not only one of the world’s most popular programming language but a language that can help you create real-world applications within the next couple of weeks (provided you have the hunger to learn and master the language).

If you’ve noticed, you will find over 500 programming languages out there, with more being developed every day. Nonetheless, most of these languages tend to fail or at times were never meant to be used at a larger scale or even beyond the lab setting.

However, to make it usable on a daily basis for businesses and for developing newer websites, you need to make a choice. You need to know which language is preferred by the industry.

Why Python?

Python programming language has been one of the major evolution in web-app development and the programming industry.

It is not an easy task to develop a web-app or a mobile without having extensive knowledge about the languages used for developing these apps. With multiple programming languages to choose from, it gets challenging for businesses to choose the relevant language for their business purpose.

Python, the most commonly used language by beginners and is expanding into new niches such as artificial intelligence (AI), data science, and machine learning.

Top reasons why Python programming is a must-have this 2020: –

Based on several research and upgrades, Python programming has outgrown to be one of the leading languages preferred by developers, coders, and data scientists, etc. Let’s have a detailed look at why you should stack this language with your other skillset.


1) It is simple and free:

Python is simple and easy even for beginners. This language is super easy for programmers to learn and is poised to be the perfect language for developers and programmers to kick start their knack for coding.

Additionally, it is an open-source program, the reason why it is available for everyone to learn. The codes can be learned by any programmer on the internet. And it is a great deal for companies facing budget issues. The tools used by Python developers are available and that too free of cost.

2) Offers better security features:

When it comes to developing web apps, security becomes the first and foremost concern for all organizations. Django and Python have proven to be highly secured for web app development tasks. Scripting techniques such as XSS, SQL, and CSRF are used to ensure the web application is highly secured.

These web apps are released with HTTPS, this assures enhancement and security of the app.

3) Used for both front-end and back-end development:

Python is not a specific purpose language. Hence, it can be used for front-end development and back-end development. However, it does not support front-end as much as it does for the back-end. Yet, a few of Python frameworks can be used for front-end such as Flask and Django.

4) Great readability:

As mentioned earlier, Python is one of the easiest languages for most developers. Because it is simple and readable nature, Python makes a great option for businesses whether large or small. The better readability the language offers, the faster it helps in deploying the app in the business market. This property provides an add-on advantage over other competitors.

5) Highly scalable:

Besides offering great readability Python is well-known for its versatility. It can handle B2B app development jobs efficiently. Since it is versatile, web app developers can use Python for creating scripts to handle large solutions within a short period.

6) It is a cross-platform language:

Python is compatible with multiple operating systems such as Windows, Linus, and Ubuntu. In short, even if you write codes on Mac, this can be easily run on Windows.

7) Has strong support of the community:

A Python developer cannot get stuck while writing their codes, Python web developers are fortunate to have a community that offers a plethora of tutorials. Even if they face any type of challenge in their projects, help can be easily availed from the community.

8) Offers a plethora of tools and libraries:

It has a huge collection of Python libraries. These frameworks and libraries reduce the developers’ effort in writing long codes and functions. Some of the common libraries include names like Keras, Pandas, Tensorflow, NumPy, and Scikit-learn.

Since Python is simple, easy to read, and scalable, it is a sought-after skill for most businesses and organizations. Python has grabbed eyeballs of many developers and is considered the perfect tool in 2020.

Why Python is perfect for AI, machine learning and big data?

Python already enjoys the steady rise to fame over the past years and is now poised to win the top position of the most popular programming language across the world.

Favored by multiple experts in the technology world, Python is quickly jostling in becoming the top priority amongst data scientists, artificial intelligence engineers, and machine learning engineers. Python pronounced itself to be the topmost choice for all application developers.

  • Artificial intelligence:

In general, Python is the perfect choice. One of the aspects why AI favors Python is because of its abundance of frameworks and libraries, making it easier to facilitate coding and saves development time. All in all, it saves time from humans to use their brains – from the interpretation of data to speech recognition, Python has it all covered. Besides AI, machine learning and neural networks are other technologies that speculate the significance of Python.

  • Machine learning:

Python is a great language offering great flexibility for machine learning developers. As a developer, there’s no need to recompile the source codes, and these changes can be implemented quickly and efficiently.

  • Big data:

Python is everywhere, I’m sure you all agree to the fact by now. Python and big data are ruling the technology market and are in great demand by big data companies. And since this programming language possesses an array of tested libraries, it is a preferred language by big data professionals.

Python is and will remain to be on the rise in the foreseeable future!

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