If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can use R-style formulas. First, you need to import statsmodels and its ...

An interactive Streamlit app for curve fitting — fit straight lines, parabolas, and geometric curves to your data using least squares. Built with NumPy, Pandas, and Matplotlib.

Choosing the right curve fit model is essential for revealing key data features, such as rate of change, asymptotes, and EC 50 /IC 50 values. The best model is the one that most faithfully reflects ...

Levi’s iconic 501 style is expanding with a long-awaited launch now in stores and online. If you’ve been struggling with a back gap, as it’s colloquially dubbed, the new 501 Curve Jeans are here, and ...

In a recent paper, Bellman showed how dynamic programming could be used to determine the solution to a problem previously considered by Stone. The problem comprises the determination, given N, of the ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

A computer-oriented method for processing and communicating numerical data is described. The Instrument Reliability Factors (IRF), which exactly define the limits of ...

ABSTRACT: Background: Changes in body position are associated with changes in functional residual capacity, elastic recoil pressure, and total lung capacity (TLC). Exponential analysis over the entire ...

Based on the measured subsidence data of the 112,201 working face in Xiaobaodang Coal Mine of Shaanxi Province, the traditional probability integral method and probability density function method are ...

More importantly, Saulsbury et al. suggest that NT can be validated by curve-fitting, despite NT’s legacy showing the opposite. The original evidence for NT, left-skewed distributions of species ...