Dear SymPy Community, I am pleased to present a next open source Python Project of Interactive Calculus that uses SymPy.
https://github.com/zolabar/trendPy TrendPy is a Python package tailored to easily perform powerful regressions with linear, polynomial and sinusoidal ansatzes. Further a three-parameter "free" regression with user ansatz is possible. The free regression part is based on SymPy! The TrendPy packages is object oriented features classical aspects as returning the coefficients, coefficient of determination of the training data. Further, a web application is provided, which allows to apply different regression models on data uploaded by the user, it extends some features of Excel's trendline. https://trendpy.herokuapp.com/ or https://mybinder.org/v2/gh/zolabar/trendPy/HEAD?urlpath=voila%2Frender%2F/trendpy_webapp.ipynb Test-Data in https://github.com/zolabar/trendPy/tree/main/data This project is based on NumPy, SciPy Jupyter Notebook, Plotly and SymPy. It is yours to discover! Feedback is always welcome. The project is uploaded to Zenodo and can be cited as Lauer-Bare, Z., & Wirth, M. (2022). trendPy - Time Series Regression with Python (Version v1.0.1) [Computer software]. https://doi.org/10.5281/zenodo.7009281 Best Wishes, Zoufiné -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/e045ba9d-736f-419b-8dd7-1ef12bfda714n%40googlegroups.com.
