Article

Mahipalsinh Rana
Mahipalsinh Rana 4 February 2022
Categories Technology

How Can We Use Python for Artificial Intelligence Application Development?

Artificial intelligence and machine learning have been making human life easier, connected, and more convenient. Artificial intelligence is used in a wide range of activities, from simple things like digital assistants to more complex domains like self-driving cars.

To build the systems and solutions powered by artificial intelligence, we need the right programming languages and associated technologies. One of those technologies is Python which has for decades proven to be an excellent programming language. 

In this article, we will know, is Python used in AI and, if yes, how it is used for building AI and ML-based solutions. 

Is Python used for Artificial Intelligence?

Yes, Python development services are used for building solutions for AI, and it is not a new thing. Almost every industry using AI to build smart applications is using Python either directly to write the program or through one of the AI-specific Python frameworks. 

This is because several properties of Python and the capabilities of AI match. For instance, AI-based systems record huge amounts of data on a daily basis. And Python has capabilities that can easily help developers build programs and features to process that data. 

So, there is a sort of natural tendency of Python to satisfy many requirements and needs arising from AI. This helps developers working with Python to create bespoke components and modules for AI applications quickly. 

Here are a few companies using Python for creating their AI solutions;

  • Google: Google is possibly using almost every programming language and technology out there, but it also uses Python and specifically for AI and machine learning systems. 
  • Python development services at Google have been used since the early days, and they have continued to use it till now due to its quick maintenance and simple programming nature. 
  • Amazon: The world’s largest ecommerce company, Amazon is using Python to build AI-based solutions to provide a better customer experience. Amazon has built an AI-based system to provide product recommendations to users based on their buying habits and preferences. 
  • Besides this, Amazon manages a huge amount of data every day, and in that case, a technology that can be scaled easily is required. 
  • Exscientia: This pharma company used Python for artificial intelligence powered drug discovery solutions. Exscientia conducted drug testing and went from development to human trials in one year. Given the natural course, other pharmaceutical companies take more than five years to complete this process. 

But with AI, the company was able to reduce the time frame substantially and still achieve the intended results. 

These are a handful of companies that have been using AI solutions built with Python. If organizations like Google and Amazon are using this programming language, it only shows the scope of Python. 

Today it is artificial intelligence and machine learning, but who’s to say that Python won’t be used for building advanced applications today and in the future. 

Why are Companies using Python for Artificial Intelligence?

FinTech companies use artificial intelligence (AI) for building investing platforms and conduct extensive market research to make recommendations to the users. AI is being used in the tourism sector to build chatbots and improve the user experience. 

Advancing and becoming better in what they do is a company’s responsibility towards its users and customers. And they are able to fulfill their duties due to the inclusion of AI. 

Using Python development services to build advanced solutions is done because of the following reasons;

1. Prebuilt Libraries

Python has several libraries with pre-built features and functions, helping developers finish a project quickly and efficiently. For scientific computation, we can use NumPy; SciPy is used for machine learning and advanced computing. 

Similarly, for artificial intelligence, we can use TensorFlow and PyTorch. To complete additional functions in an AI-based system like working with data structures and analysis, we can use Pandas. Keras library is used for deep learning, MatplotLib is used for histograms, charts, and visualizations. 

Python development companies dedicated time and efforts to understand these libraries and, more importantly, how to use them for building AI-based solutions. 

2. Python is Flexible

Python is a great choice for machine learning and artificial intelligence since it is extremely flexible. The developers have the choice to use object-oriented programming or scripting. 

There's no need to recompile the source code, so developers can make changes and see the results right away. Furthermore, flexibility allows developers to choose the programming styles they are most comfortable with and combine them to resolve various issues efficiently. 

When Python is used in AI, it gives the developers more leeway to make changes because Python is easy to understand and edit. That said, Python can pull off four different development styles;

  • Imperative
  • Function
  • Object-oriented   
  • Procedural

As it is flexible and aligns with the requirements of an AI-based application, the probability of errors is less with AI. 

3. Python is Platform Independent

Python is simple to use and understand, but it is also quite versatile. We can hire Python developers to construct artificial intelligence applications on various platforms, including Windows, macOS, Linux, Unix, and so on. 

The transfer process of AI applications built on one platform to another is also simple and can be completed with the developers making a few adjustments. Edit a few lines of code to create an executable version of the code for the target platform, and you are done. 

Furthermore, Python-based packages like PyInstaller can help developers prepare their code for numerous platforms. This reduces the time for testing on numerous platforms while also simplifying and streamlining the overall process.

4. Great Community

When there is a strong community established around a programming language, it is always beneficial. You will find a lot of developers, experts, and companies offering and assistance. 

This assistance or guidance is in the form of open-source codes, tutorials, documentation, lessons, and whatnot. All of these aspects help Python developers learn more about the language and solve issues they may face during development. 

Python is an open-source language. The programmers of all levels, from beginners to experts, have access to the material submitted and shared by fellow developers. 

There is a huge amount of Python documentation available online and in Python communities and forums where programmers and machine learning developers debate issues, solve difficulties, and assist one another.

And if that’s not all, a Python app developer can still leverage the many libraries, frameworks, and tools available for free. 

5. Less Coding and Easy to Learn

If you look at it, building AI and machine learning-based solutions is easier said than done. But Python makes things relatively easy because it's a convenient programming language. Python requires less coding because of the pre-built packages and editable code scripts. This means that you won’t have to write the code from scratch. 

Second, Python’s syntax is effortless. This makes using Python for all sorts of development tasks, from a simple two-string function to more complex AI-based applications. 

Conclusion

AI and machine learning are reshaping some of the most important businesses. Companies are becoming more successful and productive as a result of the execution of its assistive and predictive modules built with AI and machine learning.

For these technologies, Python has proven to be an amazing programming language and has shown immense potential to deliver all the requirements of the latest technologies. As the advanced solutions result in a more simple life for end-users and a more personalized experience, we can say that Python for artificial intelligence is significant and productive.

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