![]() Juno provides an exceptional programming environment for those using (or learning to use) Python for data analysis, machine learning, or computational science. You can use a Jupyter notebook as a document with optional executable code, or simply as a programming playground for data manipulation and experimentation. This structure makes notebooks both human-readable documents containing analysis descriptions and results (figures, tables, etc.), as well as executable scripts for data analysis or general programming. They are particularly convenient for coding in Python for data analysis, machine learning, or computational science in general.Ī notebook comprises a sequence of cells, each representing either narrative text in markdown or HTML format, or a coding script with text or media output. Notebook documents keep a record of all inputs and outputs from an interactive programming session, and the rich output generated by running Python scripts (including HTML, images, video, and plots) is embedded within the Jupyter notebook document. This versatility makes Jupyter notebooks an exceptional learning tool, whether you're learning to code or honing your data analysis skills.
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