May 29, 2021 Article blog
Python's fires have driven a number of corporate companies, and with Python there is room for improvement in many ways.
Python makes it easy to work with sounds, images, videos, animations, and more with modules like Piddle, PIL, ReportLab, and more. For example, statistical analysis icons and generating dynamic charts can all be done with Python.
Django is today's popular web development framework, using the Python language. It adopts MVC's software design model, with the key goal of making it easier to develop complex, database-driven web sites.
Python has to say that it does a good job of data processing with multiple database connections, not only commercial databases but also open source databases. There can be multiple interfaces connected to the database, including at least ODBC.
When it comes to scientific computing, most people think of MATLAB first. With the exception of some of MATLAB's more specialized toolboxes, most of its common features can find a corresponding extension library in Python.
The next 10 years will be an era of artificial intelligence, big data, when there will be a lot of data to process, Python has a huge advantage in data processing, I believe the next 10 years Python will get better and better.
That's all you can do with python.