Why Is Python The Best For Artificial Intelligence And Machine Learning?

Why Is Python The Best For Artificial Intelligence And Machine Learning?

As organizations have started developing AI-based applications, it has become essential to use a programming language that is easy to implement and reduces code complexity. Python could be the best example of such a programming language. Its outstanding libraries, flexible tools, and frameworks have proven to leverage Artificial Intelligence and Machine Languages (ML). Python caters to complex AI and ML modules which is essential to make ML and AI-driven applications. This article is to explain why Python is the best for Artificial Intelligence and Machine Learning and how it stacks up against other programming languages.

What is Python?

Python is an object-oriented high-level programming language that emphasizes code readability with high-level built-in data structures. Its combined dynamic typing and dynamic binding make it a primary choice for Rapid Application Development. Python has a simple and easy-to-learn syntax that reduces the cost of program maintenance. Its modules and packages encourage program modularity and code reuse. The increased productivity Python provides is why it consistently ranks as one of the most popular programming languages among developers. As there is no compilation step, debugging Python programs is easy and incredibly fast.

How Artificial Intelligence and Machine Learning Are Important Technologies?

Artificial Intelligence and Machine Learning are continued to evolve and these two technologies are one of the most trending topics today. AI and ML are extremely useful processes and analyze large and complicated data. Unlike we humans, they can handle data infinitely. Artificial Intelligence and Machine Learning provide precise predictions and insights that contribute to boosting business productivity which is why organizations from every industry have started applying AI and ML to improve performance. Artificial Intelligence and Machine Learning are the technologies of the future. According to Deloitte, companies using AI and ML for higher efficiency and business growth will go up within two years.

Why Is Python the Best for Artificial Intelligence and Machine Learning?

Python is the most popular programming language that developers use to develop artificial intelligence and machine learning applications. According to Python Developers Survey done on 28,000 developers, 85% of developers used Python as their primary programming language. Python has been proven to be the most efficient programming language for Artificial Intelligence and Machine Learning solutions. Below are listed 5 reasons why Python is the best for Artificial Intelligence and Machine Learning.

  • Simple and Easy-to-use

Python is pretty straightforward to use as it provides developers with concise and reasonable code. Artificial Intelligence and Machine Learning require complex algorithms and versatile workflows and the simplicity of Python makes it easy for developers to write the codes. The major reason why Python is popular among developers is that it is easy to use. Python helps everyone to understand the basics of artificial intelligence and machine learning more easily.

  • Extensive Libraries and Frameworks

Another reason why Python is the best for artificial intelligence and machine learning is that it is packed with extensive libraries and frameworks that are crucial for the development process. A library refers to a module or group of modules with a pre-written code set that promotes functionality and offers base-level items to help developers perform different actions. Machine learning requires data processing constantly and Python provides the benefit of handling crucial data efficiently. Below are examples of the most common Python libraries used in artificial intelligence and machine learning.

  • Scikit-learn, Keras, and TensorFlow for machine learning.
  • NumPy for scientific computing and data analysis.
  • Pandas for general-purpose data analysis.
  • SciPy for advanced computing.
  • Seaborn for data visualization.
  • Flexible

One of the main reasons businesses choose Python developers to build AI and ML applications is the flexibility that the programming language offers. It provides you with the option to choose between OOPS and scripting. It also allows you to choose from different programming styles and recompile the source code to bring changes. Depending on your needs, Python allows you to combine various styles.

Here are a few crucial styles you can use in Python for artificial intelligence and machine learning.

Imperative Style: It provides you with commands to describe the commands of a computer. With it, you can define the computation sequence and make changes in program states. 

Object-Oriented Style: It follows two concepts depending on the object and class. The only drawback is that Python does not completely support this style, and thus, you should not always rely on it.

Functional Style: The functional style is also referred to as the declarative style. This is mostly because it declares information about the sequence of performing operations and only the statements as mathematical equations. 

  • Better Visualization Option

As we know Python offers a variety of libraries online, and you may know that most of these libraries feature exclusive visualization tools as well. Highlighting visuals accurately is vital in artificial intelligence and machine learning. It helps you present the data in a readable and attractive format. Libraries such as Matplotlib helps data scientists to create histograms, charts, and plots for better data comprehension, representation, and visualization, which enables building better reports.

  • Less Coding

Artificial intelligence is rapidly developing and as a result, AI applications require developers to indulge in a massive amount of algorithms. As you use Python for AI and ML application development, you have access to numerous pre-defined packages which allows you not to code algorithms. Its ‘check your code’ feature makes the development process much easier. as you can relieve yourself from the responsibility of testing the code.

Conclusion

Artificial Intelligence and Machine Learning are constantly growing in various industries and Python has great capability for AI and ML development to provide us with solutions for real-life problems. From rapid prototyping to diverse standard libraries, performant numerical libraries, open-source machine learning libraries, and multi-paradigm, Python has everything one can imagine for artificial intelligence and machine learning. Looking at all the advantages, we can conclude that Python is the best for artificial intelligence and machine learning. If you are willing to learn Python and want to start a career in AI and machine learning then you can connect with TechAxis for a Python training course in Nepal.