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Most people don't understand the knowledge points of this article "Why use Python for data analysis", so Xiaobian summarizes the following contents for everyone. The contents are detailed, the steps are clear, and they have certain reference value. I hope everyone can gain something after reading this article. Let's take a look at this article "Why use Python for data analysis".

With the advent of the era of big data, data analysis related workers become more and more favored by companies of all sizes, we know that there are many programming languages can do data analysis, such as: R, Matlab, Python, etc., for beginners who want to engage in data analysis how to choose a suitable programming language? I suggest you use Python for data analysis. The main reasons are as follows:

Python's syntax is simple, the code is highly readable, and it is easy to learn; when we process data, we want to digitize the data and convert it into a digital form that the computer can manipulate. We can do this directly using a line list derivation, which is very simple.

Python has a very mature library and active community for data analysis and interaction, exploratory computing and data visualization, which makes Python an important solution for data task processing. Python has numpy, pandas, Matplotlib, scikit-learn, IPython and other excellent libraries and tools for data processing and analysis, especially pandas which have an absolute advantage in data processing.

Python has a strong general purpose programming ability, which is different from other programming languages. Python is not only powerful in data analysis, but also plays a very important role in crawlers, Web, operations and even games. Companies need only one technology to complete all services, which facilitates business integration and improves productivity.

Python is the preferred programming language for artificial intelligence. In the age of artificial intelligence, Python has become the most popular programming language. Thanks to Python's concise syntax, rich libraries, and community, most deep learning frameworks prioritize Python support.

The above is the content of this article about "Why use Python for data analysis". I believe everyone has a certain understanding. I hope the content shared by Xiaobian will help everyone. If you want to know more relevant knowledge, please pay attention to the industry information channel.

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