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This article introduces you how to understand Python is the most suitable language for machine learning projects, the content is very detailed, interested friends can refer to, hope to be helpful to you.

Python has been performing well because of its stability and easy maintenance. In recent years, Python has attracted a lot of attention. Since its inception, TIOBE has listed Python as the language of the year four times.

Why Python?

Why is Python so friendly to machine learning? Why aren't other languages, such as CMagic Category Java, the best choice for machine learning?

This is because Python comes with a large number of libraries and frameworks for developers to use. In a field where complex algorithms are often used, we do not need to start the whole development process from scratch with Python, which saves a lot of manpower and material resources.

Just like we build a car, if you have to start from scratch, down to a screw, a tire, a rearview mirror, then it is impossible for you to build a car today. The purpose of Python is the same, to develop a complete machine learning project, you don't need to spend a lot of time making screws, but to set up each module for you and call it directly when you create the project, you only need a small amount of time to complete the project.

Take the library Sklearn, for example, which provides a series of supervised and unsupervised algorithms that can be imported directly into our code.

Why do developers like to use Python in machine learning and artificial intelligence projects?

1. Python is flexible

Python is best suited for machine learning projects because it allows a lot of flexibility in structure, and you can choose to use OOP or normal scripting, which is not important to Python.

Machine learning projects require a lot of recompilation, especially those involving neural networks. Python support platforms such as Jupyter and GoogleColab allow you to recompile part of the code instead of the entire project code, thus saving more time. Only when a person recompiles the entire project code because of a simple error, can you really understand how important this feature is.

Better yet, Python is very friendly to other languages, so you can combine Python with other languages to help developers get the output they need quickly.

2. Python is platform independent

Python is platform independent and runs on platforms such as Windows and Linux, as well as hosts on other platforms. Developers can make code run on other platforms by using packages such as Pyinstaller.

3. Python has excellent readability

If you have ever tried to read other people's code, you often can't help swearing: what junk code you wrote. Python doesn't have this feature because its code is so simple that you can easily understand, share, and copy the code, and use it in your own solutions. This leads to better algorithms, research, and tool development.

4. Python is easy to learn

Python does not have as many complex syntax and restrictions as other languages, allowing us to write code more freely. This may be why so many people switch to Python, because it is easy to receive and master. If you have ever used any syntax-driven language (such as Java), then you will appreciate Python.

5. Python allows visualization of data

Most machine learning and artificial intelligence developers need to visualize data frequently to understand what's really going on in the code, whether it's visualizing clusters in K-means or simple linear regression. Visual effects are always popular, and in many cases you can even help you relax by identifying outliers. Python libraries such as Matplotlib, Seaborn, and Plotly are very helpful when you want to visualize data.

6. Python has a growing community

The popularity of Python is growing rapidly, and a 2020 developer survey ranked Python as the third most popular language in the world. In addition to having a lot of documentation and support, Python has a very strong community of developers, and sites like real Python and Geeksforgeks have a large number of high-quality tutorials to help amateur and experienced programmers.

On how to understand Python is the most suitable language for machine learning projects to share here, I hope that the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.

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