The Python language is a great advantage in data mining, but it's the only drawback, you know?

The advantages of the Python language

For the following three reasons, choose Python as the programming language for implementing the Data mining algorithm:

(1) Python syntax is clear;

(2) Easy to operate plain text files;

(3) Widely used, there are a lot of development documents.

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Python has a clear syntax structure and is also known as executable pseudo-code (executable pseudo-code).

The Python development environment, which is installed by default, already comes with many advanced data types, such as lists, tuples, dictionaries, collections, queues, and so on, that you can use to manipulate these data types without further programming.

Using these data types makes it very easy to implement abstract mathematical concepts. In addition, you can use your familiar programming style, such as object-oriented programming, process-oriented programming, or functional programming.

Python language processing and manipulating text files is very simple and very easy to handle with non-numeric data.

The Python language provides rich regular expression functions and many libraries of functions that access Web pages, making extracting data from HTML very simple and intuitive.

Features of Python language mining

High-level programming languages such as MATLAB and Mathematica also allow users to perform matrix operations, and MATLAB even has many embedded features that make it easy to construct data mining applications, and MATLAB is fast to operate.

However, the disadvantage of MATLAB is that software costs are too high, and a single software license costs $ thousands of.

There are third-party plug-ins for Matlab, but there is no big open source project that has an impact.

Strong-type programming languages like Java and C also have matrix math libraries, but the biggest problem for these programming languages is that you write a lot of code even when you're done with simple operations.

The programmer first needs to define the type of the variable, and for Java, the getter and setter methods need to be implemented each time the attribute is encapsulated. Also remember to implement subclasses, in order to do a simple job, you have to spend a lot of time writing a lot of useless lengthy code.

The Python language is completely different from Java and C, it is clear and concise, and easy to understand, even if not programmers can understand the meaning of the program, while Java and C for non-programmers are as difficult to understand as the heavenly book.

The Python language is a high-level programming language that takes more time to manipulate the intrinsic meaning of the data without having to devote too much effort to solving how the computer obtains the data results. The Python language makes it easy to express your purpose.

The disadvantages of the Python language

The only disadvantage of the Python language is performance issues. Python programs run less efficiently than Java or C code, but you can use Python to invoke C-compiled code. In this way, you can take advantage of both C and Python to develop data mining applications incrementally.

You can first use Python to write the experimental program, if you want to implement data mining in the product, the conversion to C code is not difficult.

This article from the "CAS Computer Training" blog, declined to reprint!

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Python language is a great advantage in data mining, but it's the only downside, you know?