The digital revolution has taken the whole world by storm by improving our lives and will continue to change the world for the better. Here, Artificial Intelligence (AI) and Machine Learning (ML) play an important role. They are useful to get deep insights and knowledge to predict things that have become impossible by humans. Millions of developers worldwide use AI and Machine Learning using Python to build robust and reliable software and applications.
57% of developers prefer Python over any other programming language like C++. In this blog, we will explore why Python is great for AI and ML and look at some of its benefits along with its use cases.
So let’s get started!
How AI and ML are Shaping the Future?
Currently, there is an explosion in the importance of data for businesses. Humans can also analyze data but the human eye has a limitation about the volume of data that can be analyzed. Therefore, Artificial Intelligence and Machine Learning using Python are used because they are above such limitations.
In addition, lowering the cost and drastically increasing productivity also make AI and ML vital. A business also uses ML and AI programming with Python to optimize internal and external operations through better decision-making.
Why is Python Used for AI and ML?
Python is a high-level, interpreted, and general-purpose programming language that is useful for building data structures. Developers consider Python as the best programming language for AI and ML due to numerous reasons. Some of the reasons why Python training is beneficial for AI and ML are given here.
1. Simple and Consistent
Python is a versatile programming language that can be used flexibly which is useful to analyze simple to complex data. Its simplicity enables all developers to easily write codes. Most of the students opt for using Python because it has a shallow learning curve that makes it easy to learn and master it. Understanding the coding of Python is easy because it is essential to complete a wide range of complex tasks.
2. Extensive Data Library
Python is popular among developers for having a superior library ecosystem which is crucial for the development process. This library is a collection of modules with pre-written pieces of code enabling developers to concentrate only on promoting functionalities and not on writing codes from scratch.
Some of the most powerful Python libraries include:
- Scikit-Learn: Useful to handle basic ML algorithms.
- Numpy: Handle multi-dimensional data and complex mathematical functions.
- Pandas: Open-source data analysis and manipulation.
- PyBrain: A modular machine learning library for neural network and reinforcement learning.
- Matplotlib: Data visualization library to design photos & graphs.
3. Platform Independent
Python is famous for being a platform-independent programming language. It is a big advantage of Python for AI and ML because it shows how versatile Python is. Many platforms, including Windows, Linus, Unix, and MacOS.
Do you know why Python is better than other programming languages? Here, a developer only needs to make minor changes to create standalone execution programs. It saves a lot of time and money that can be spent on various platforms.
4. Simple Readability
Python for AI and ML is helpful due to the ease of readability by Python developers. Unlike other programming languages, it enables a developer to modify and share the code as per requirement because of being less complicated. In various places, it uses common English words and comes with a relatively simple syntax.
Hence, it is a preference of many who want to start coding or those who are new at it. With Python, developers can easily make minor or major modifications to AI Python projects. Python programming language allows all developers to access concise and readable pieces of code.
5. Large Community
Python is continuously growing in popularity which is also contributing to increasing its popularity. Python is the best programming language for AI which is open-source which means that there are many resources available for the developers. Many Python documents are available online and also in communities and forums where developers can discuss errors, resolve problems, and assist each other.
6. Flexible Programming Language
Python for AI and ML is a flexible programming language used for various tasks. These tasks include scripting and data analysis. Moreover, developers don’t need to recompile source code. It allows them to quickly make changes to see the results. In addition, developers can also use Python for ML to select the programming style in which they are fully comfortable.
What are the use cases of Python for AI and ML?
Now, let’s have a look at what is Python programming used for through its use cases.
Undeniably, Python is a useful and best programming language for AI and ML and many industries use it for bulk data handling and comprehension of difficult mathematical tasks.
Major Python use cases include:
- Travel and Hospitality
- Fintech
- Transportation
- Healthcare
1. Travel and Hospitality
An interesting case that tells us why Python is better than other languages is its usage in the travel and hospitality industry. Many travel service providers use this advanced programming language for predictive analysis. This analysis is vital to ensure the flawless functioning of the giant players in the travel industry.
While travelling, travellers have different requirements when visiting various locations. Here, the travel industry can use AI and machine learning using Python to get a complete benefit of these technologies. They can compare 1000s of origins and destinations by following 30+ different criteria to make an informed decision.
2. FinTech
ML and AI programming with Python is used worldwide to reduce operating costs. It is a crucial factor that solves problems connected with risk management, fraud prevention, online banking, and automation. In addition, it is also used to provide a seamless experience through flawless financial services.
Artificial Intelligence using Python in fintech could reduce the operation cost by more than 20% (by 2030). It can act as a helping hand for businesses to level up their revenue. Users can stay connected while using AI-based applications when they make online payments through social media platforms.
3. Transportations
One of the fantastic examples of using Python for AI and ML is transportation. A transport giant. UBER developed an ML-based platform using the Python programming language that can quickly calculate and produce real-time price fluctuations. This fluctuation is based on the demand for rides and the supply of drivers. Moreover, calculate the direction of rides according to origin and destination.
4. Healthcare Industry
AI and ML are changing the healthcare industry by helping them to accurately predict diseases. It enables people to maintain good health using technology like natural language processing (NLP). This technology is useful to monitor and analyze electronic health records.
Moreover, some other software or apps are also available that use face and action recognition to ensure a patient takes the right medicine. These software or apps also use Python that’s why it is better than other programming languages.
Conclusion
AI and ML are technologies used to reshape our future with innovative solutions. These technologies are helpful as they provide various benefits to the businesses that employ them. If you want to learn and achieve mastery in using Python for AI and ML, join the AI, ML, DA, and DS using Python course now.
