For developers, Python is taking the top spot in the field of AI. How is Python winning over other programming languages? Let’s find out!

A staggering 48.07% of developers use Python as their programming language. It is a flexible and easy-to-understand language.

It has been the developer’s favourite in the field of web development. It is now certainly climbing towards making its place in multifaceted fields like Artificial Intelligence, Data Science, Machine Learning, etc.

Python is used extensively in multiple fields like Health Care, Education, Banking, Food & Beverage Industry, E-commerce, Agriculture, Marketing, Automation, etc. Here is a detailed account of why Python best fits artificial intelligence in web development.

Role of Python in Artificial Intelligence

Python is one of the most used programming languages worldwide. You can use it to build websites and multiple software and analyse data. Further, it’s a general-purpose language focusing on easy readability and simplicity. Quite clearly, Python has replaced many languages in the industry due to its accessibility and ease of understanding for beginners and experts.

When we talk about artificial intelligence, it’s quite simple it will rule our lives in the future. Today, we already use AI in our daily lives, such as using Alexa, Siri, Google voice assistants, etc. In the future, the usage is only going to rise! From Python’s point of view, it plays a useful role in AI due to its versatility and flexibility. Additionally, it offers many prebuilt libraries, such as SciPy, Theano, Pandas, etc., that help conduct mathematical calculations easily. Such libraries also help conduct tasks in data science, image and data manipulation, machine learning, etc.

Moreover, implementing ML algorithms and deep neural networks takes time, but Python packages help conduct them quickly.

Is Python the Best Fit For Artificial Intelligence in Web Development?

There is no denying that Python plays a very significant part in the skyrocketing of AI in the market. There are numerous reasons to opt for Python for Artificial Intelligence in Web Development, a few of which are listed below.

1. Simple and Consistent

Python is well-known for its brief and easily readable code and is unparalleled for ease of use, especially for budding developers. While Artificial Intelligence is based on complex algorithms and vivid workflows, Python allows developers to create dependable systems. Due to the simplicity, the developers get to focus primarily on solving AI problems rather than wasting their time on the tech-nuance of the programming languages. 

Also, Python is the first choice of many developers as it is easy to learn. The code is easily comprehensible by humans, making it very swift. Further, Python is also more intuitive than other programming languages and is highly beneficial when multiple programmers collaborate on the same code. The simplicity of the syntax allows quick development along with very prompt testing (without having a need for implementation). Moreover, it uses approximately a fifth of the code that might be needed to do the same task in any other language based on OOPS. The ease of code and its simplicity makes it easier for a developer to work on it, reducing the time to complete a job. 

2. An extensive selection of libraries and frameworks.

A major facet that makes Python a leading choice for Artificial Intelligence in Web Development is the richness of its libraries and frameworks that makes coding easier and saves a lot of effort and time. Python has numerous libraries specifically built for Artificial Intelligence like NumPy, PyTorch, TensorFlow, Theano, Keras, Scikit-learn, Pandas, and the list is endless.  Therefore, whenever you have to run an algorithm, all you need to do is to install and load one of these libraries (as per your requirement) with a single command and your work is done in a snap. These solutions help you to develop your product faster and better. With these libraries and frameworks, you need not start from scratch every time and can just use one of these and implement the required features.

3. Platform Independence

The platform independence of Python is one of the major reasons for it being on the high tide. It implies that a Python program can be made or executed on any framework or platform and afterwards can, without much of a stretch, be utilized on the other. Python is compatible with major platforms like Windows, Linux, macOS, etc. It can very well be utilized to make independent applications on a vast majority of the platforms, which implies that these applications or software can be effectively appropriated and utilized on different frameworks without requiring a Python translator. There exist libraries like PyInstaller to help developers prepare their codes to run on various platforms. Yet again, this makes the process convenient and simple by saving time, money and effort to run and test a single program on multiple platforms.

4. Abundance of Support

According to a survey conducted by StackOverflow in 2018, Python was one of the top 10 most popular languages. Also, according to ecomnist.com, Python is Googled more than any other programming language.

This ultimately means that with such a large community of Python enthusiasts worldwide, there is great community support. Hence, you will likely find answers to all your problems online. It boasts many active users who are more than happy to help the ones learning or stuck in the development life cycle.

5. Flexibility

Being a dynamically typed language gives Python the advantage of being immensely flexible. That being said, there are no rigid rules regarding how a feature must be built. It also offers flexibility to choose between the OOPS or scripting approaches, making it suitable for every purpose. Further, it is the most appropriate choice for combining various data structures and supports a great background language. Python offers immense flexibility in solving problems, which is a huge add-on for beginners and professionals.

6. Minimal Coding Requirement

Numerous calculations are associated with AI (Artificial Intelligence). The simplicity of testing offered by Python makes it one of the most straightforward programming languages among contenders. Python can execute a similar rationale with just 20% of the code in contrast to the other programming languages based on OOPS.

7. Popularity

Due to its ease of use and vast versatility, Python has emerged as developers' most preferred programming language. The ease of learning and the developer-friendliness of the language has attracted developers to opt for it for their projects. Undoubtedly, Artificial Intelligence-based projects require veteran developers, but the simplicity of Python eases the process of learning it for new developers.

8. Superior Visualization

Python gives an assortment of libraries and a couple is exceptionally amazing visualisation choices. For the Al engineers, it is imperative to emphasize that in Al, ML, and deep learning, it is crucial to have the option to present the information in an intelligible configuration that can be easily read by humans. Libraries like Matplotlib lets data scientists assemble histograms, graphs, and plots for better information perception, representation, and viable demonstration. Besides, the different APIs disentangle the visualization procedure, making it simpler to make clear reports.

9. Compatibility

Python web development gives the designer the adaptability to offer an API from the current programming language, which, in reality, is amazingly adaptable for new Python developers. You can make your assignment or application work in various OSs with just a few nominal changes in the source codes. This spares developers a lot of time to test distinctive working frameworks and move source codes. Along these lines, if you need your AI task to be the best, you should choose the best web app development company with experience with AI-based undertakings with Python.

Advantages of Python over other programming languages

There are many reasons that Python is chosen over other programming languages by developers worldwide. Apart from its simplicity and ease of learning, other factors make it highly popular. Here is a list:

• Provision of many Python libraries and frameworks
• Python is highly flexible.
• It provides excellent reliability and high speed.
• There are many uses for artificial intelligence, deep learning, data science, etc.
• Python helps automate tasks due to multiple models and tools.
• It supports multiple programming paradigms.
• Comprehensive community support helps coders with appropriate assistance.

Overall, Python is well-suited for everyone, whether a developer or a tester.

Summary

Artificial Intelligence is emerging as the need of the hour and has been showing a thoughtful effect on our society. Developers are opting for Python as their language of choice for its numerous benefits, particularly for Artificial Intelligence and Machine Learning.  Python’s specific libraries for AI increases developers' efficiency and cuts short the time required for development. Additionally, the simplicity of Python promotes fast testing as well as execution, thereby making the language accessible for beginners as well as non-programmers. With all this being stated, there is no reason why one might not consider Python the best fit for Artificial Intelligence in Web Development.

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Frequently asked Questions

1. Which is the most commonly used programming language for AI?

Python can be considered the most widely used programming language for AI apart from Java. It earns more points than Java in various areas, such as readability, flexibility, community support, etc.

2. Which language is used in data science?

Many programming languages are used in data science, such as JavaScript, SQL, R, Scala, etc. However, Python remains the most popular programming language used in data science.

3. Why is Python popular?

Python is popular due to its stunning features like code portability, simple syntax, easy readability, large community, and more. It is used widely in the latest technologies, such as artificial intelligence and machine learning.