Скачать или смотреть Better Presentation of Python Financial Models - Advanced Financial Modeling

Better Presentation of Python Financial Models

Part of the lecture series "Advanced Financial Modeling":
https://nickderobertis.github.io/fin-...

Full Course Website:
https://nickderobertis.github.io/fin-...


Notes
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Presentation from a Python model is a more complex story than doing the same with an Excel model. But you also have many more possibilities
The easiest presentation method is to use the Jupyter notebook itself. You can offload code into separate .py files and just import it so that there is not much code in the notebook
You can create reports from your Python model. You could output to Excel, HTML/CSS, LaTeX, or PDF to create the report.
If you go with HTML/CSS, Jinja will be useful for templating. HTML/CSS can also be converted into a PDF with pdfkit
If you go with LaTeX, pyexlatex allows you to create Python objects which compile into LaTeX and PDFs
You can go direct to PDF with reportlab
You can have the most polished presentation of your model by building an app, which is not as hard as it sounds. Voila can directly convert your Jupyter notebook into an app. Panel will let you create a more customized app, by adding onto your existing Jupyter notebook
You can learn about building full web applications from scratch with Flask, but that is more complicated than the other approaches
Interactive plots allow the consumer of the model to view more information in a single plot by adding some dynamic behavior to it. There are many libraries for this such as Bokeh, Altair, Plotly, and Holoviews