Which one should I learn between access and python?

Economics is an important auxiliary subject of big data. In the context of today's big data era, the integration of economic majors and big data technology is getting closer and closer. For students majoring in economics, it is necessary to master a certain amount of big data. Knowledge is very necessary, especially big data analysis technology, and Access and Python are components of big data technology.

Access is a database management system and Python is a programming language. The difference between the two technologies is quite obvious. For students majoring in economics, Both databases and programming languages ​​should be learned. (Recommended learning: Python video tutorial)

If you want to choose one between these two courses, then it is best to choose to learn Python first, the reason There are the following points:

First: Access is a relatively basic database management system.

Access is a typical desktop database management system. Microsoft classifies Access into the field of ordinary office software. From this perspective, Access is not suitable for large data management tasks.

In the era of big data, the application space of desktop databases such as Access will decrease significantly. Currently, databases used more frequently in the economic field include enterprise-level database solutions such as Mysql, Sql Server, and Oracle.

Second: Python is powerful.

Python language is currently widely used in the fields of big data and artificial intelligence, and Python is widely used to implement algorithms in the field of big data analysis. The Python language itself has a wealth of libraries, and libraries widely used in the field of data analysis include Numpy, Scipy, Matplotlib, pandas, etc.

Third: Python language is simple and easy to learn.

The Python language itself has simple syntax, and people without any computer foundation can get started smoothly. Therefore, for students majoring in economics, learning Python programming will not be difficult. In addition, the development environment of Python language is also relatively easy to set up, and it will not be too difficult for students with poor hands-on ability to learn.

The Python language has received widespread attention and use in recent years with the development of big data and artificial intelligence. I believe that with the implementation of big data, the application of the Python language will become more and more popular. universal.

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