What Makes Python The Best Choice for AI Development
Updated on Apr 20th, 2021
Artificial Intelligence (AI) is the latest trend in the IT sector and has made our lives simpler for quite a while. Artificial intelligence today has gone far beyond the concept of speculative fiction. It turned into a requirement. Being commonly used for processing and analyzing enormous data quantities, AI performs the work that could no longer be performed manually due to its massively increased volumes and frequency.
The demand for AI is at its highest. For app developers, AI has developed a range of opportunities. AI helps Spotify suggest to users artists and tracks, or Netflix recognizes what shows you’re going to want to see later. It is often used widely by customer service enterprises to enhance self-service and boost employees’ workflows and efficiency.
AI projects are distinct from conventional software development. The variations lie in the technology stack, the skills needed for an AI-based application, and the need for in-depth analysis. You can use a programming language that is reliable, scalable and has the resources required to implement your AI ambitions.
That’s where Python comes in. Since it has a reasonably necessary syntax and can quickly manage complicated processes, Python has trickled down to become one of AI’s best programming languages.
So, what is it that made Python so great for AI development?
In this blog, we will take a look at key reasons why Python is an excellent choice? Why must you consider it for your next AI project? And who are all companies that use Python for their AI projects?
With all that said, let’s get started.
Whenever it comes to extracting and analyzing massive and complicated data, AI and ML are beneficial. They can provide reliable forecasts and perspectives that can help improve the business, reduce the cost of goods, and increase productivity. Any premium AI app development company could help you to develop such solutions for your business.
As per Statista’s report, in 2021, the worldwide AI market is predicted to be worth 11 billion dollars. Massive, isn’t it?
Moving on, let’s discuss,
What is Python?
Python is a high-level, interpreted programming language centered on OOPs. It is a versatile language that is extremely useful and focuses on rapid application design & development. It is now one of the largest growing languages owing to Python’s simplicity of learning, interoperability, and resilience. The help of Python and ever-changing libraries make it an excellent option for just about any project, be it Web Application, Mobile Application, IoT, Data Science, or AI projects.
Python seems to have a tremendous variety of services for everyone, whether it’s a start-up or a low, mid, and high business.
Nowadays, Python is used in many industries to incorporate AI and ML in their services. Take a glance:
Industry-wise use cases of Python
As python based AI solutions used in financial institutions, this could discover solutions to risk management, customized banking, optimization, detection of fraud, and other python based AI solutions that can provide consumers with advanced custom financial services. Industry analysts expect that fintech python with AI services can lower costs by 22% by 2030 and could lead to a massive $1 trillion.
Python based apps are reconstructing the health sector by assisting with convenient Smartphone apps to anticipate and scan illnesses, diagnose accidents, and help patients remain healthy even daily.
Uber developed an ML platform called Michelangelo PyML using Python. Forecasts that help address everyday tasks can also be used online and offline. Previously, they had also built a Michelangelo service that grew but lacked versatility. Its expansion is Michelangelo PyML.
A renowned travel company, Skyscanner, forecast new airplane paths’ behavior by using a Python unsupervised ML algorithm. They compared tons of origins and destinations to identify passenger demand and analyzed each route to the goal with 30 different parameters.
Companies using Python for AI Development
Well, here’s a list of several leading brands that use Python for AI and provide their end-users with A-grade services:
Using AI algorithms, the automotive sector is expelling human drivers with self-drive automotive technology. The pioneer in this move is Tesla.
- JP Morgan
There are big quality data throughout the finance industry on which AI operates effectively. It is highly proficient in detecting and preventing fraud, trading algorithms, excellent customer service, and customer care.
A very well Siri is a beautiful product of AI in Apple products. As it listens to what users say, Siri utilizes voice recognition software and natural language processing to make recommendations while performing various acts.
For generations, Facebook has been an authority in the use of AI. They use it among many others like in the Facebook app, directories, taking hold of fake accounts, and offensive content.
Microsoft has developed an assistant named Cortana using AI. Microsoft Azure and Office 365 and can be found in the context of Android and iOS mobile apps. It allows users to find information on the device and focuses on providing a seamless experience.
With the aid of advanced learning algorithms, all well-known organizations and companies use data to reinforce customer service and get a raptor view of what they’re doing and what they can do.
What Makes Python an Excellent Option for AI Development Projects?
Over a wide array of applications, developers prefer Python, but what renders it a perfect match for projects involving AI? Let’s take a peek.
In terms of usability, particularly for new programmers, Python is renowned for its lightweight, readable code and is unmatched. This has rendered it a favorite language for machine learning and AI. AI relies on highly complicated equations and multi-stage work procedures. The less a developer has to stress the nuances of coding, the more they will find solutions to problems and achieve the company’s goals.
Like our daily English, Python reads, thereby making AI development simpler and far less complicated. Python’s concise syntax ensures that it takes less programming time than most of the other programming languages and allows the programmer to evaluate algorithms quickly without running them.
2. Platform Independence
The versatility of Python contributes to its characteristics of being easy to grasp and simple to use. If you use Python for machine learning development, then you could execute it on every operating system, including Windows, Linux, UNIX, macOS, among many others. If the programmer wants to move the process from one platform to another, they have had to initiate several minor changes and modify a few code pieces, so this code can indeed be implemented on the next system.
Whenever the developer gets the code prepared to run on various platforms, packages such as PyInstaller help exceptionally. This allows programmers to save more time and money than testing on multiple platforms, making it easier and simpler for the full process.
Python offers a coherent and readable code. While also sophisticated algorithms and flexible workflows will be behind machine learning and AI, Python’s simplicity enables programmers to build reliable systems. Rather than concentrating on the language’s technical complexities, programmers should put all of their attention into addressing an ML problem. In contrast, because it’s easy to understand, Python appeals to many programmers. Python code can be interpreted by humans, which makes things simpler to construct machine learning models.
Many developers argue that Python is more expressive than most other languages used for programming. Others highlight the numerous frameworks, libraries, and plug-ins that simplify various features to be introduced. It’s widely agreed that when several programmers are involved, Python is sufficient for cooperative development.
4. Higher Compatibility
Python allows the programmer to access an API from the modern computer language, which is also a beneficial function for new Python developers. You might make your project or framework run on various operating systems because Python is open source, even with only subtle tweaks to the code snippets. If you want your AI project to be the finest, you can hire web app developers who’ve had experience with AI-based applications.
For even more than a couple of decades, Python has already been on the market, and it’s become increasingly robust with time. Among other aspects, it can be applied in processes, software creation, and working and managing cloud resources.
It also functions as a data management backend tool with Spark support to handle vast quantities of data. You could also use it in architectures, development, computing, and networking, amongst others, in addition to its widespread application in Machine Learning and data mining.
6.Massive Library Ecosystems
A library is essentially a framework or group of packages consisting of fully prepared pieces of code that allow programmers to execute or execute commands with certain features and functionality. It takes time to build AI and ML algorithms. The python library and framework ecosystem encourage such custom algorithms’ growth despite creating them from the beginning and save valuable time for development.
Python will be their first preference, as programmers need a well-structured and excellently refined atmosphere conducive to providing all the better methods. Python has a comprehensive collection of frameworks and libraries to enhance data science, artificial intelligence, and deep learning technologies.
Some of the popular libraries that are used are:
Popular Python Libraries
7. Huge Community Support
Python is a programming language that is open source and backed by many resources and leading knowledge. In contrast, it showcases a massive and diverse network of programmers ready to provide guidance and assistance at all stages of development.
When using Python for AI development, an influential developers’ group could be accommodating. Like in Python groups and forums, software developers and AI designers chat about bugs, take care of any issues, support each other out, and a lot of Python documentation is available online.
With each day, artificial intelligence is getting more complicated. Due to its shorter code line, Python makes the development phase of an AI-based project much more straightforward. Moreover, different built-in libraries really can progress the AI-based task. AI is a high technology that has revolutionized how scientists build real-life solutions. Python’s flexibility has inspired many developers to create new AI & machine learning frameworks.
We hope that you had a positive experience reading this blog post.
Suppose you don’t have a great deal of Python work experience. You could then employ a development company for Python that will direct you during your project. Matellio’s development team (a pioneering software development company) has always been at your service to fulfill your project’s requirements.
For more, visit www.matellio.com.
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