Feb 12, 2021 · Built in “what if?” tools such as Excel Data Tables and Goal Seek are well known to power spreadsheet modelers. How might we do similar modeling and analysis using Python?

What-if analysis with Python Excel is widely used for building and using models of business problems to explore the impact of various model inputs on key outputs. Built in “what if?” tools such as Excel Data Tables and Goal Seek are well known to power spreadsheet modelers.

The whatif package helps you build business analysis oriented models in Python that you might normally build in Excel. Specifically, whatif includes functions that are similar to Excel's Data Tables and Goal Seek for doing sensitivity analysis and …

Feb 26, 2025 · Which Python GUI library should you use for your project? In this article, we will look at a selection of the most popular Python GUI frameworks currently available and why you should consider using them for your own projects.

Feb 21, 2021 · Python is proving to be quite nice for doing Excel-style “what if?” analysis. In Part 4 of this series, we’ll make some improvements and do some clean-up on our classes and functions. We’ll move everything into a single whatif.py module and learn how to create a Python package to make it easy to use and share our new functions.

analysis with Python - Part 1: Models and Data Tables¶ Excel is widely used for building and using models of business problems to explore the impact of various model inputs on key outputs. Built in "what if?"

What-If Analyzer is a web-based user interface to visualize the simulated scenarios of execution for the production process and to help in performing a what-if analysis.

We built both object-oriented (OO) and non-OO versions of a basic business model (the Bookstore Model - it's repeated below for convenience) and learned a few things about doing OOP in Python.

Mar 11, 2021 · In the first three parts of this series, we’ve developed some Python approaches to typical Excel “what if?” analyses. This whole series is aimed at those who might have a strong Excel based background, a basic familiarity with Python programming and a desire to increase their Python knowledge.

We'll create and test a model that will allow us to calculate how many years it would take for Simon's preferred level of savings to be reached. The model essentially tracks wages and savings and maintains a constant growth rate (which includes both the cost-of-living raises and regular wage increases tied to promotions).