May it be an MNC or a new startup, Python has a lot of benefits to offer everybody. It is the most renowned and efficient high-level programming language which has got largely famous in the past few years. It’s growing fame has enabled it to come out of the web development sphere and dive into some of the most popular and multifaceted processes like Artificial Intelligence, Data Science, Machine Learning, etc.
With its steady rise in fame, the demand for Artificial Intelligence is at a boom as it has become an integral part of various industries like Health Care, Education, Banking, Food & Beverage Industry, E-commerce, Agriculture, Marketing, Automation, etc.
Python Is Best Fit For Artificial Intelligence in Web Development
There is no denying the fact that python plays a very significant part in the sky-rocketing of AI in the market. There are numerous reasons to opt 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 totally unparalleled when it comes to the 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 this simplicity provided by Python, the developers get to focus primarily on solving AI problems rather than wasting their time on tech-nuance of the programming languages.
Also, Python is the first choice of many developers as it is very easy to learn. The code written in Python is easily comprehensible by humans, which makes working with it very swift. Python is also more intuitive than other programming languages and is very beneficial when multiple programmers collaborate on the same code. The simplicity of the Python syntax allows quick development along with very prompt testing (without having a need for implementation). Python uses approximately a fifth if the code that might be needed to do the same task in any other language based on OOPS. The ease of code and the simplicity involved in it makes easier for a developer to work on it thereby also 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.
| TensorFlow, Scikit-learn, Keras | Machine Learning |
| SciPy | Advanced Computing |
| NumPy | Data Analysis & Scientific Computing |
| Pandas | Data Analysis |
| Seaborn | Data visualization |
| PyTorch | Natural Language Processing |
| Theano | Evaluating Mathematical Expressions |
3. Platform Independence
The Platform Independence of Python is one of the major reasons for it being on the high tide. Platform Independence implies that a python program can be made or executed on any framework or platform and afterward can without much of a stretch be utilized on the other. Python is compatible with many 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 having a requirement for 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 required 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 all over the world, there is great community support so you are likely to find answers to all your problems over the internet. It boasts a large number of 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 a great advantage of being immensely flexible. That being said, there are no rigid rules as to how a feature must be built. It also offers flexibility to choose between the OOPS approach or the scripting approach making it suitable for every purpose altogether. Also, it the most appropriate choice for combining various data structures and also supports as a great background language. It also offers immense flexibility when it comes to solving problems, which is a huge add-on for both beginners as well as professionals.
6. Minimal Coding Requirement
There are numerous calculations associated with AI (Artificial Intelligence). The simplicity of testing offered by Python makes it one of the most straightforward programming language among contenders. Python can execute a similar rationale with just 20% of the code in contrast to the other programming languages which are based on OOPS.
7. Popularity
Due to its ease of use and vast versatility, Python has emerged as the most preferred programming language among developers. 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 do 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 of them are exceptionally amazing choices for visualization. For the Al engineers, it is imperative to emphasize that in the Al, ML, and deep learning it is crucial to have the option to present to the information in an intelligible configuration that can be easily read by humans. Libraries like Matplotlib lets the data scientists assemble histograms, graphs, and plots for better information perception, representation, and viable demonstration. Besides, the different APIs disentangle the visualization procedure and this makes 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. With just a few nominal changes in the source codes, you can make your assignment or application work in various OSs. This spares developers a great deal of time to test distinctive working frameworks and move source codes. Along these lines, in the event that you need your AI task to be the best, you should the best web app development company that has experience with AI-based undertakings with Python.
Summary
Artificial Intelligence is emerging as the need of the hour and has been showing a thoughtful effect on the society we live in. Developers are opting for Python as their language of choice for the numerous benefits that it provides particularly for Artificial Intelligence and Machine Learning. Python’s specific libraries for AI increases developers’ efficiency and cuts short in the time required for the development. 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 definitely no reason left as to why one might not consider Python as the best fit for Artificial Intelligence in Web Development.
