The articles in this special section discusses the applications supported by the Jupyter Notebook. Before notebooks, a scientist working with Python code, for instance, might have used a mixture of script files and code typed into an interactive shell. The shell is good for rapid experimentation, but the code and results are typically transient, and a linear record of everything that was tried would be long and not very clear. The notebook interface combines the convenience of the shell with some of the benefits of saving and editing code in a file, while also incorporating results, including rich output, such as plots, in a document that can be shared with others. The Jupyter Notebook is used through a web browser. Although it is often run locally, on a desktop or a laptop, this design means that it can also be used remotely, so the computation occurs, and the notebook files are saved, on an institutional server, a high-performance computing facility or in the clou

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Jupyter计算科学

该特殊部分中的文章讨论了Jupyter Notebook支持的应用程序。例如，在笔记本电脑之前，从事Python代码研究的科学家可能会使用混合了脚本文件和键入交互式外壳程序的代码。外壳程序适合快速实验，但是代码和结果通常是瞬态的，并且所尝试的所有内容的线性记录将很长且不太清楚。笔记本界面将外壳程序的便利性与在文件中保存和编辑代码的一些优点相结合，同时还将结果（包括绘图等丰富的输出）合并到可以与他人共享的文档中。Jupyter Notebook通过Web浏览器使用。尽管它通常在本地运行，但可以在台式机或笔记本电脑上运行，但这种设计意味着它也可以远程使用，