Abstract
The programming foundation course which based on Python has become an important basic course for different disciplines in universities. In experimental teaching, the main difficulty is the environment configuration and rapid deployment of Python. Virtualization technology is a common method to solve this problem. However, there are some problems, such as low resource utilization, insufficient support for concurrent, slow start, and so on. So, a new method for constructing the teaching experiment platform of the course using Docker container technology is proposed. This method can quickly realize the dynamic allocation, deployment and management of the running environment image according to the needs of students. Experimental results show that this method has obvious advantages in terms of resource utilization, concurrent users, response time, construction cost and so on, compared with virtual machine technology
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