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December 18, 2024
Written by Dharmesh Patel
27,568
The current age is the age of automation, personalization, smart devices, and digitization. If you use your phone daily, you must have seen countless ads. The cool thing about these ads is that they are curated based on your search preferences.
Other than this, the autocorrect feature of your phone, google search recommendations, etc. All these are based on two technologies, namely, AI and Machine Learning.
Both of these technologies are the future of the world. And the trend of using them is exponentially surging. As per stats,
The programming language that backs both of these ingenious technologies is Python. Python is one of the most preferred languages at present. It has been adopted by various companies in countless AI development solutions so far.
There are many reasons for the widespread adoption of Python, and we are going to discuss them thoroughly in this write-up. So, keep reading!
There is not one but many reasons for choosing Python for developing AI and Machine Learning solutions. Here are some of those reasons!
One of the prime reasons for choosing Python for AI and Machine Learning is the libraries. Unlike other programming languages, Python has countless libraries that can be used for various applications.
A library is a module or a group of modules that have some pre-written code. This pre-written code can be used to write code further as per the developer’s need. The best thing about a library is that the developer does not have to start from scratch every time. Therefore saving a lot of time for them.
AI development solutions and Machine Learning development solutions require complex data calculations. Therefore, Python provides you with libraries like Numpy, Pandas, and others for faster computations. Here are some of the libraries of Python:
Source: Light It
These are just some of the Python libraries. There are many others that you can use to develop powerful apps and software. However, you may also have to hire dedicated Python developers for the same.
Many of you may think that Python would be tough to learn as it is used in various high-level technologies. Well, it is not! Unlike C, Java, and other code languages, Python is a cakewalk. Anyone who knows basic English can easily learn Python as it has a pretty simple syntax for doing anything.
For example, if you want to print “Hello” in Java, the syntax of the code is:
class Hello {
public static void main(String[] args) {
System.out.println(“Hello”);
}
}
The code takes up 5 lines. In contrast to this, if you want to print “Hello” in Python, the code syntax is:
Print (“Hello”)
The code is pretty simple as compared to that of Java and any other language.
As artificial intelligence and Machine Learning solutions have a lot of complexity, they require extreme focus. However, the simplicity of Python reduces the hassle of focusing on the technical details of the project. This saves a lot of time for developers and boosts productivity.
Other than being easy, Python is also consistent. The consistency of Python enables multiple developers to work on a single project simultaneously.
Source: Geeky Leak
Developers may use different operating systems at their convenience. This does not mean that all of them cannot use Python. One of the key benefits of using Python for AI and Machine Learning is platform independence.
No matter if you are using Linux, Windows, Mac, or any other OS, you can easily use Python for AI development solutions and Machine Learning development. In any case, if you want to switch the OS in between your project, you are free to do it without affecting your progress on the project.
To make it simple, PyInstaller converts the file into a version fit for the other platform. You just need to tweak the lines of the code to make it work on the other platform.
As a person who knows English can learn Python easily, the simple syntax of the language can also make it easy to understand. With Python, a developer can easily code without making mistakes. Other than that, developers can also change, copy or paste the code wherever they want.
This feature of Python allows developers of the Python development company to share codes with each other without worrying about syntax.
Tools like IPython can be used for add-on functionality like testing and debugging.
The term flexibility is perfect for Python as it offers the developers a lot of choices for easy coding. For example, a developer can choose from Object-Oriented Programming or scripting. Moreover, Python does not need to recompile the source code again and again. The developer can apply the required changes and easily check the results instantly.
Different developers could be used to different programming styles. This does not mean that they cannot use Python. Being a flexible language, Python offers various programming styles to its developers, such as:
Source: Fltmag
Python has great community support. Whether you are a developer or a Python enthusiast, you can easily search for answers to your questions on the internet. There are a large number of Python development companies that offer their services as well as online communities where developers share their code.
So, these are some of the top reasons to use Python for AI and Machine Learning. There are many others such as:
And many more!
There are various application areas of Python in AI and ML, such as:
As per stats, there are around 8.2 million Python developers in the world. Moreover, Python stands at number three after Javascript and HTML in terms of the maximum number of developers. These stats clearly prove that Python is highly demanding. Moreover, the above-mentioned feature raises its preference.
Python has a huge library of modules. You can freely use any of them for your project without any hassle. This saves a lot of time and effort on the part of a developer. The vast list of Python libraries allows developers to pick up the right one for their projects. All they need is a little research on the different features of each library and then compare it with their requirements before picking up the right one.
In addition, Python also gives you access to some advanced Machine Learning tools like TensorFlow, SciKit Learn, Keras, etc. There are many more such tools available that help in boosting productivity within no time. It is easy to learn and has a vast community backing it up.
If you are planning to take up a Python project, do hire dedicated Python developers as is necessary.
Writen by Dharmesh Patel