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 ...

A simple program written in Python, which implements function fitting through numpy and scipy, and uses PySide to write the user interface. It implements the function of fitting function parameters ...

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 ...

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 ...

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 ...

Humanity’s tools for thought have not just expanded how we think; they’ve reshaped thought itself. This cognitive evolution has followed a remarkable yet predictable trajectory, marked by four ...

Humanity’s tools for thought have not just expanded how we think—they’ve reshaped thought itself. This cognitive evolution has followed a remarkable yet predictable trajectory, marked by four ...

Any application involving a press can benefit greatly from in-process monitoring and gauging. Central to this kind of feedback-dependent pressing is something called a force vs. position “signature”—a ...

Exponential growth and decay are critical concepts in calculus, describing processes that increase or decrease at rates proportional to their current value. This video provides a clear and thorough ...