Why is Python considered a good language for artificial intelligence and machine learning?

Machine learning and artificial intelligence are the most popular fields of advancement. The vision for the machines we build is to produce next generation models. These models learn from existing data and modify themselves. There are many areas involved in building such a machine. Not only coding is used, but mathematical equations, vectors and weights are used. There are many programming languages ​​that can be used to create frameworks and models of machines, including Python.

In this article, we will discuss and try to find out why Python is considered a good programming language for artificial intelligence and machine learning. Before we dive into the topic, let’s take a quick overview of this article.

Machine learning mechanism

Machine learning is a technique in which machines modify themselves by updating stored data and make accurate predictions to solve problems. Instead of providing inputs and logic, developers provide multiple input and output data to the created model, and after uploading the raw data, the machine returns the algorithm or logic.

Input + CODE/ LOGIC = Output

If it is machine learning -

Input + Output = CODE/LOGIC

The process of uploading original data is called model training.

Understanding Artificial Intelligence

We use concepts such as deep learning and machine learning to build artificial intelligence-based applications. Artificial Intelligence is a technology that creates interactive and responsive engines that automate themselves and update the data stored on the system. With the help of artificial intelligence, we can predict solutions to a range of problems.

The condition is that the question follows the same pattern as the previously uploaded dataset. If the question or response is new to the model, it stores this new information and makes better predictions next time.

The meaning of Python

Python is currently the most popular programming language due to its unique code set and efficient nature. It is actively involved in building AI-based models and algorithms.

Python is used to create regression models and draw graphs, which helps in data visualization. It is supported by a large number of developers as it is the most popular language. According to multiple reports, Python is widely used to create AI-based applications and models.

Most developers prefer Python because of its simplicity and small code size. We will discuss in detail the criteria that make Python superior to other languages. The debate about the best programming language is actually futile because none of the existing languages ​​is perfect and every language in use has advantages and disadvantages.

Comparison of Python and other languages

The different languages ​​used in Artificial Intelligence and Machine Learning are - Java, C/C, python, JavaScript, "R", etc. Let’s understand the advantages of using python over other languages ​​-

• Scalability and Flexibility - Python is a highly flexible language. It supports the use of an integrated environment that supports multiple language combinations. Python is platform independent, which is why it can run on any operating system.

• Libraries and Frameworks - Python provides multiple AI-based libraries that are pre-written in code. By using these libraries, developers can save a lot of time and improve code readability. The use of libraries provides a truly impeccable approach to abstraction. Some of the python libraries are:- “NumPy”, “TensorFlow”, “pyDatalog”, “scipy” etc.

• Syntax Style - In Python, code is usually short and precise. Best of all, they are very similar to plain English, which makes Python easier to read and understand. This is why it is favored by developers and novice students.

Now that we have discussed the advantages of python over other languages, let us also discuss its disadvantages -

• Python’s runtime is much slower than other languages. This is because Python's interpreter checks the variable type before completing the operation. On the other hand, languages ​​like Java and JavaScript perform operations directly because the type is already specified at the time of variable declaration.

• Compared with C/C, Python’s text editor is shorter.

So, the answer to the question is: Yes, Python is indeed an excellent machine learning and artificial intelligence programming language. Like every other programming language, it has its own advantages and disadvantages.

in conclusion

In this article, we discussed the topic of Artificial Intelligence and Machine Learning. We learned about their applications and mechanisms, and the significance of Python in these fields.

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