A Brief Account of Artificial Intelligence
Before digging into the roots of why to develop AI web apps in Python, let’s the basics, including meaning, discover facts, and figures of Artificial Intelligence. Facts are the foundation of a robust success journey that proves that we are heading in the right direction. In the case of Artificial Intelligence, it could be rightly noted that the global AI market that registered a growth of $65.48 billion in 2020 is forecasted to meet a CAGR of 38% by the end of 2030.
Yes! You heard it right… During the forecast period of 2021 to 2030, the AI market value would range somewhere around $1581.70. This growth can be attributed to the burgeoning of the digital transformation trends across the industries. Moreover, the AI market is thankful to SMEs and even large enterprises for their great demand for automation solutions, such as the inculcation of AI in web apps.
Artificial Intelligence which is believed to be the evergreen advancement in the technological domain, stands for –
The tech that renders machines with the ability to imitate natural intelligence correctly is showcased by humans to perform several monotonous tasks. You can identify the presence of Artificial Intelligence when any machine automatedly displays traits similar to that of the human mind, like problem-solving and others.
Artificial Intelligence finds its presence across many applications be it the chatbots or recommendation engines. This advanced technology revolves around smart thinking, data analysis, human capabilities enhancement, data parsing, and more amongst a well-spun series. This takes us a step closer to unlocking the merits of developing Python AI web apps!
So, now that you know the base, it would be easy for you to decipher the relationship between AI and Python. Let’s take a look at it.
AI, Python, and the Great Handshake!
What’s the mystery behind merging one of the advanced technologies with one of the most popular programming languages? Yeah, you guessed it right… This section talks about the same.
Python surely reserves a vital status in the AI coding language. How? Well, it lends AI many benefits such as excellent frameworks and quick prototyping. So come and dive deep into the roots of this relationship.
A Vast and Active Library Ecosystem
Python offers a broad gamut of libraries suitable for AI and ML. Scikit-learn, Keras, Pandas, TensorFlow, PyBrain, Matplotlib, and StatsModels are a few of the many libraries that make Python the best choice for AI.
Easy to use and Quicker to Learn are world-famous traits of Python, and AI is surely to admire these! Python when used for machine learning development, can be exercised on any platform, whether it is macOS, Windows, Unix, Linux, with many more.
Python provides language flexibility by letting one opt for either Object Oriented Programming (OOPs) or scripting. Moreover, it offers ultimate leverage by eliminating the need for source code recompilation.
Python brings in the arena, the facility of easy accessibility ie low barrier to entry. This feature is what lures the data scientists as they can swiftly take up Python, to begin with, AI development without draining too much time on learning the language. Furthermore, the Python’s community is always there to rescue one in case any help is needed or advice is to be procured.
Not only this, other reasons underlie this strong alliance of Python and AI such as easy readability, exceptional visualization options, community assistance, and increasing popularity. Now, let me introduce you to the significant reasons why businesses give priority to developing AI web apps in Python.
The Impressive Integration of AI, Web Applications, and Python
Appealing!! That’s the expression that developers give when they hear about integrating AI in web apps using Python. That’s a good thing, of course. But have you ever thought about why it is so? What value does Python provide towards AI Web App development? We have curated a quick go-through of the benefits of the unison of Python and AI in the web app.
Quickly Readable Code and Comprehension
As you already know, Python is not only one of the most popular programming languages in the market but also one of the easiest to learn. This allows it to render short and easily readable codes that are also easily comprehensible by the developers.
Yes, while on one side, AI stands to be driven by complex algorithms and different workflows, what as per you makes them choose Python for development? The answer would seem simple to you now, right? Python enables developers to create reliable systems, followed by quick testing, and also provides time efficiency.
Compatibility Across Platforms
Python is congruent with numerous platforms including macOS, Windows, and many more. But what makes it considerable is the ability to deploy numerous applications across platforms. Moreover, you have the assistance of PyInstaller and other such libraries that support code devising so that they can be run on such vivid platforms.
Put simply, it could be understood that developers cherish Python for AI Web App development as it has the ability to get executed within any platform at the present moment, and at a later stage could be effortlessly utilized over the other platforms.
Nominal Coding Required
Python, famous for its simplicity and reliability, offers ease of testing to an AI-driven web app development that associates itself with various complex calculations. You seem to be on the right lines, if you’re already comparing Python with other programming languages. Mere 20% of the code is what is required by Python when checked with other OOPs programming languages to implement a homogeneous rationale. Hence, making it a great deal to integrate AI in a web app using Python.
Rich Library Ecosystem
Any doubts about this? It is well-known all around that Python possesses a rich stack of libraries that particularly cater to Artificial Intelligence. For instance, TensorFlow, Scikit-learn, Keras stand to serve Machine Learning; SciPy is meant specifically for Advanced Computing; NumPy renders utility to Data Analysis & Scientific Computing. Apart from these, there are other libraries such as Pandas, Seaborn, PyTorch, and Theano, which serve Data Analysis, Data visualization, NLP, and Mathematical expressions evaluation, respectively.
But how does this work when you need to run the algorithm? Here are the steps –
Yes! It’s that easy! And guess what! These libraries are a great time-saver as they do not require you to begin from ground up.
One of the other vital reasons why one should develop AI web apps in Python are libraries that offer exceptional options for visualization. AI professionals could easily decipher the importance of showingcasing the information in a concise and comprehensible configuration the developers could use effortlessly for reading developers could effortlessly read.
On top of this the different APIs play the role of untwining the visualization process to deliver precise and clear reports. Python is treasured with different libraries that support this thought. For example, Osuch library is Matplotlib, which enables data scientists to gather different forms of data such as graphs and histograms to present one with excellent data insights.
Whether you are a newbie learning about Python or an experienced professional stuck in any complex Python issue, the supportive community of Python has always got you! Python is backed by a rich community of experts from all over the world, who always stay on their toes to solve your programming-related concerns. With a fair amount of active users under the belt, you are assured to never lag in any of your Python projects.
A designer would better know the importance of adaptability when it comes to web development! And Python is such a versatile programming language that it allows one to practice minimal alterations in the source codes. This way, it provides web developers and designers to adapt any API from their existing programming language which is a great benefit. This ultimately enables one to easily run the project or app across different operating systems.
Dynamic in Nature
As also discussed earlier, it could be known that Python leverages one with the merit of considering either the OOPs or the scripting approach. This also means that Python effectively sets the definition of dynamism as such a facility allows developers to use it under any circumstances or for any purpose. This popular programming language also does not require one to follow any strict directives when developing a feature. What else could justify Python’s dynamic nature? It is also one of the apt languages for problem-solving and merging different data structures.
You know it well that AI-driven web app development projects would need experienced professionals, but on the contrary when you have Python in the gamut, an equilibrium is achieved. Of course! Python’s simplicity and ease of learning allow you to include developers who have no or minimal experience in your team. Does Py in your team then require any other reason to be widely prevalent among the company’s first choice for AI-based web development projects!?
Develop AI Web App in Python: The Big Brands Instances
Here are a Few Important Use Cases when we look on to Develop AI Web Apps in Python –
You are looking for real-life use-cases of how conglomerates develop AI Web Apps in Python? We got you covered! You are lucky to have big brands such as Netflix and Amazon paved the way for employing Python using AI. Check it out –
Netflix: Netflix is undoubtedly the king of the OTT platforms, with paid subscribers counting around 221.64 million (users). This globally renowned app has hit the peak of advancement by integrating AI features such as data analysis and automated alerts or notifications, amongst much more. Further, it could be rightly known that they develop AI Web Apps in Python by using it as an integrating agent for effortlessly inculcating artificial intelligence features into Netflix.
Amazon: Yes! It’s true. Amazon, the planet’s biggest eCommerce platform, has effectively leveraged Python to develop its search engine and advance its ML-related capabilities. But what’s their story of developing AI Web Apps in Python? How did they do it? Simply put, Amazon worked right by assuming the pioneering aspects such as Big Data to offer even more precise recommendations to its clientele.
Do AI Web Apps in Python Hold the Future?
The answer is YES. In this blog, we have seen many reasons why it is beneficial to develop AI web apps in Python. The world has come a long way in the technological arena with Artificial Intelligence being one of the most advanced forms of technology. On the other has, Python has climbed up the ladder to be in the top position among the programming languages amongst the various programming languages. It is undoubtedly cherished by developers all round the world, given its core merits like simple to understand, easy to learn, and quick to implement. Moreover, Python’s characteristics developers give the upper hand regarding time and cost-efficiency.