Why Python is beneficial for AI-based projects

Learn more about Python core features.

Roman ZhidkoffBlockedUnblockFollowFollowingJun 6Today it’s hard to imagine modern business without AI technologies implemented in a varying degree.

Chatbots, virtual assistants, voice search, and other innovations that factor into the market are increasing the revenue of the business and at the same time improving the customers’ experience.

If you thought to start own AI-based project, then you’d work out a strategy, the programming language (further PL) for coding and all other processes beforehand.

Why choose Python for AI-powered projects?There are no doubts that AI technologies are the future.

Considering the increasing popularity of the trend and the number of people ready to invest in it, the global AI market is going to reach $89.

8 billion by 2025.

The PL is what you should think about at first.

The complexity of coding as well as the availability of the experienced and qualified developers are crucial moments to take into account as well.

You’re to deal and process a host of data effectively when it comes to AI industry, and here we offer you to check out at least 8 reasons why you’d choose Python to develop your AI-powered projects.

Steep learning curveBeing OOP-based, an API from the utilized PL is given by Python easing the learning process and reducing the time needed for a new developer to pick up the basics and start to code for AI apps.

Also, it has a simple syntax and resembles actual English, that allows even junior or inexperienced Python developers to work with complex systems.

Great library ecosystemThe huge prebuilt libraries for every need are the next reasons that make Python so perfect for AI projects.

Choose any to match your demands.

So if your project requires advanced computing, then SciPy is what you need, for scientific computation — NumPy and for ML you’d better use Pybrain.

And the leader is AIMA or “AI: Modern Approach” that is going to save your budget by shortening the time needed for your developers on coding.

That’s only a part of built-in libraries to use for your AI-based project.

And that’s the highlight of Python.

FlexibilityBased on OOP and focused on RAD, DRY, Python is pretty adaptive to changes without the risk of duplication of logic.

Your choice is: to script or use OOPs.

The developers change a few lines of the code and get fast results.

No recompiling of the source code is required.

Besides that, there is an opportunity to utilize different algorithms and languages along with Python thanks to the capability to check the code in the IDE itself.

Platform independenceThe next highlight of Python to observe is platform independence.

Several changes can be implemented in the codes and in the way the AI application can be up and run in a new OS whatever it’s.

It’s bound to save time for migrating the code and testing the app on the different platforms like Windows, Linux, MacOS, Unix or any other.

The process becomes easier and more apparent, and, as a result, the costs are reduced.

CompatibilityThe next strong feature adds even more flexibility to the Python for the AI projects is high compatibility with other languages and various platforms.

Thanks to the Python Package Index (PyPI) which contains lots of third-party modules allows Python to interact with other languages.

It simplifies the work for developers and saves your money.

Community supportThe unique thing is a great developer community support of Python.

It’s an open source platform that gives you access to the free Python documentation online and forums that are open for newbies and experts.

There you can get a lot of useful info, libraries and tools as well as take part in discussions, solve problems, find procedures to fix errors and just get help in various issues of every phase of the development in two ticks.

Good visualization optionsAs we’ve written above, Python has a variety of built-in libraries.

The other great thing is that part of them are nothing but visualization tools.

It gives an opportunity to the developers to represent the data accessible for non-programmers by means of histograms, for instance.

In such a way, you can get an effective presentation of data and comprehensible reports to visualize the process that eases your control on every level.

Increasing popularityNobody can ignore the benefits of Python listed above.

All that provokes the increasing popularity of the PL that is going to grow until 2020 relying on the figures provided by StackOverflow.

Today it’s much easier to find and/or replace a highly experienced Python programmer than find a skilled LISP or Prolog specialist, for instance.

What’s more, the costs will be lower in this case.

What industries will benefit from AI?If you’re ready to start your own AI project, all left to do is to choose the industry to implement your future application.

It’s where you have plenty of choices.

Here we are to help you to close in and ease your decision.

Below you’ll find out 7 industries that are going to benefit from AI at most in the nearest future.

HealthCareOne of the most promising industries to implement AI technologies is healthcare.

It was reported that by 2026 up to $150 billion annually for the U.


could be saved by means of adopting AI healthcare applications.

Instant surgeries, virtual nursing assistants, an improvement on radiology tools, the automation of diagnostic tests and administrative tasks, the accuracy of treatment, prediction of disease, is a few sectors where the technology can be used.

BankingIt’s forecasted that by 2030 the banking industry will save about $1 trillion and the reduction of traditional cost will be about 22% by implementing the AI technologies.

Improved and personalized customer service, managing investments, collecting financial data, using predictive analytics, risk assessments, etc.

are the ways the AI can be applied in financial firms and banks.

EducationeSchool News reports that applying of AI technologies in education will grow by 47.

5% through 2021.

Using the AI apps for teaching promises the more personalized learning, greater efficiency and speed of the study, access to the augmented content, accurate planning, and a new level of mentoring, etc.

It’s evident that AI is going to reshape e-learning in the coming years.

AgricultureAdopting AI is a matter of survival for the agriculture industry in the world, because of the labor shortages.

So, the implementation of automation technologies for lots of processes will be a great benefit for agriculture.

It will reduce the costs and increase the revenue of the companies in such a way.

MarketingThe marketing can make use of AI by means of the tech stack of the processes that are made manually by employees can be automated, it can bring more efficiency and quickly analyze large data sets, for example.

Gartner says that by 2020 AI technologies will be used in at least one of the sales processes by 30% of companies over the world.

Besides that, according to Accenture reports, the profitability will rise by 38% by 2035 and AI will create $14 trillion of additional revenue.

AutomotiveYou’ve definitely heard about self-driving cars, so it’s about the AI technologies.

However, that’s not all ways to use AI technologies in the automotive industry:AI Driving features (driver assist and autopilot driving);AI Cloud Service (predictive maintenance, individualized marketing);Car Insurance and risk assessment;AI in Vehicle Manufacturing.

According to recent research, the experts expect that the automotive AI market will reach $10,573.

3 Million by 2025, at a CAGR of 38.

46% between 2017 and 2025.

E-commerceThe e-commerce sales are expected to be about $4.

5 trillion by 2021.

And that’s not without AI technologies used.

Thanks to the AI the sites provides the customers with 24/7 service and assistance by means of the chatbots, improve consumers experience by analyzing the CRM data in moments with AI tech, IoT, and other examples of using AI in e-commerce.

Final words: Is Python an ideal choice for AI projects?So, let’s sum up all written above.

High diversity of built-in libraries, simple syntax, readability, compatibility, rapid testing of sophisticated algorithms, accessibility to non-programmers, and other features make Python worthy of your attention.

All that ease the process, save your budget and increase the popularity of Python.

Taking to account all the advantages you get using the PL, the conclusion is obvious — Python is what you need to consider to your AI-based project.

__________________________________________________________Roman Zhidkov is CTO at DDI development company.

Roman is responsible for DDI’s technology strategy and plays a key role in driving new tech initiatives within the company.

He understands the context of the technology in terms of other technical areas, the customer’s needs, the business impact, and the corporate strategy.


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