Why Choose Python for AI-Based Projects in 2021?

Are you in two minds for which language to choose for AI-based projects? Then, understand the core features of Python: Not an irony to say that AI technologies will be the next big thing in the future. With the increasing popularity of the trend and no. of people are investing, the global AI market will register $89.8 billion by 2025.


Angelina Jasper

2 years ago | 5 min read

Are you in two minds for which language to choose for AI-based projects? Then, understand the core features of Python:

Not an irony to say that AI technologies will be the next big thing in the future. With the increasing popularity of the trend and no. of people are investing, the global AI market will register $89.8 billion by 2025.

One can’t imagine the fate of modern business without AI technologies implemented in different spheres. A virtual assistant, voice search, and innovation enhance the customer experience to increase business revenue.

If you thought about starting your AI-based project, you’d work out a strategy, the programming language (further PL) for coding, and other processes beforehand.

The first thing that triggers the mind is choosing PL and the round-the-clock availability of development expertise. You should have the right technology to deal with the process of a host of data when it comes to the AI industry; understanding Python better gives a chance to learn why you’d hire Python developers for AI-powered projects.

Over the years, developers have come across several coding languages------ to develop AI-based applications, e.g., Java, C, C++, Prolog, etc. In addition to this, developers extensively use Python for applications, including general AI-based applications, Machine learning, NLP, and Neural networks.

The complexity of coding and the availability of experienced and qualified developers are crucial moments to consider. Here we give you the insight to check out at least 8 reasons why you’d choose Python to develop AI-powered projects.

Python: A Perfect Fit For AI-based Applications

Choosing a programming language solely depends on the ease of coding and how strongly the application is desired? The availability of experienced developers plays a significant role in AI app development. Since AI drew so much hype to ensure stringent data security, the need for comprehensive and dependable applications is crucial. That’s how Python fits best in the mix with the following advantages:

  • Platform Independent Programming Language

  • Ideal Choice For an Aspiring Leader

  • Comprehensive Coding Pattern

  • Contains In-built Libraries For AI-base Programming

  • A Strong Community Supporting Language

  • High-End Control Capabilities

  • Easier Testing

  • Supports Multitasking

  1. Platform Independent Programming Language

One of the USPs of Python, which attracts any developer, is its platform-independent nature. No significant changes are required in the main source code to make your AI application platform-independent. It saves developers a considerable amount of time testing on multiple OS like Windows, Linux, macOS, Unix, or any other.

Therefore, it makes complete sense to hire AI developers with expertise and exposure in Python for AI-based projects. Thus, migration of codes becomes a lot easier and apparent, and as a result, reduces cost.

  1. Ideal Choice For New Developers

Python is an absolute delight, especially for newbies in development, and they are fascinated with working on AI-based projects. The OOP programming features give developers an API from the existing programming language, which becomes easier for new Python developers.

3) Comprehensive Coding Pattern

The user-friendliness of Python is not unknown as Python provides the developer with the flexibility to quickly write and execute all the codes. It produces the same with lesser coding complexities, with better results than other coding languages in a lesser time.

Since Python is an OOP-based programming language, an API from the utilized PL eases the learning process and reduces the time needed for a new developer to pick up the basics and start coding for AI apps. Also, it uses a simple syntax structure like the English language, which acts as a gateway for new and inexperienced Python developers to work with complex systems.

4) Contains In-built Libraries For AI-based Programming

Python brings the advantage of having huge built libraries, which is extremely useful for AI-based project development. It has some key components: Internet protocol, string operations, web services tools, and OS interfaces. It saves considerable time by reducing the code length for developing AI-based applications.

You can hire Python programmers to meet project demand needs. If you require advanced computing, then SciPy for scientific computation ----- NumPy and ML, you’d better use Pybrain. For a modern approach, AIMA will save the budget by reducing programmers’ time on coding. The only key for built-in libraries for AI-based projects-----the hallmark of Python.

5) Strong Community Supporting Language

Python developers are a perfect example of teamwork and tandem as they can fix random coding issues when producing AI-based applications. In a nutshell, being an open-source programming language, Python gives developers leverage to fix issues and problems in no time.

The unique thing about Python is that it provides an excellent community to fix issues and problems in no time. It gives free Python software development services online, and forums open for newbies and experts. You can have access to useful info, tools & libraries, take part in discussions, solve problems, find procedures to fix errors and get help in various issues of each development phase.

6) High-end Control Capabilities

Python is a programming language that supports OOP. It enhances process control and capabilities. Since developers feel very confident in coding, it is ideal for developing complex multi-protocol applications.

Hence, for AI-based network applications, Python is the developer’s first and foremost choice.

7) Easier Testing

No application is successful or executable without testing. Readability makes a programming language successful. Since Artificial language(AI) is a creative and modern technology, the ease of testing makes Python one of the most viable programming languages compared to C++ or even a LISP.

8) Supports Multitasking

To Save time, Efforts and Maximize resources--- a start-up or business establishment(small, medium, or extensive) companies prefer a multitasking language like Python (OOP), making it one of the dependable languages working on complex features like Data security.

Final Words: Is Python A Smart Choice For AI projects?

So let’s wind up things written above: Python is unarguably a far better choice for AI applications. It has higher diversity with simple syntax, readability, rapid testing, compatibility, community support, and other features that make Python very much demanding in the app development world. After reading this, my gut feeling says you’d seek the services of a Python web development company for AI-supported applications.

All such things make it easy on your budget and make Python highly popular for AI projects. A dedicated development team gives you all the advantages of (PL) account. Hence, concluding is quite apparent ------- No other language can draw parallel with Python For AI-based Projects soon: Healthcare, Education, Banking, Agriculture, Marketing, Automotive, E-Commerce, etc.

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Created by

Angelina Jasper

I am an IT Consultant graduated from Oxford University, currently working in Valuecoders an on demand software development company







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