5. Scientific collaborative computing systemΒΆ
Jupyter is an open source web application that can be used to create and share code and documentation. It provides an environment in which you can write your code, run it, view the output, visualize the data, and see the results. As such, it is an executable end-to-end data science workflow facilitator that can assist with scientific computing tasks including data cleaning, statistical modeling, building and training machine learning models, visualizing data, and more.
As the field of data science and artificial intelligence continues to evolve, Jupyter is constantly updating and improving its features and performance. In the future, we can expect to see more innovative features and tools being added to Jupyter to further advance the development of scientific computing and data analysis. As a scientific researcher, you should keep your attention and learning attitude towards new technologies and tools to continuously improve your skills and competitiveness.
This section describes how to get started with the use of the Jupyter Scientific Computing Online system. Accessed at: https://pygis.igadc.cn/
Note
This scientific computing platform is for internal use by the project team, and you need to open an account in the platform in advance. Team members should contact the project staff if they have problems logging in or using the platform.