Numerical analysis methods implemented in Python.
An open-source library for generating trajectories (multi-axis, multi-segment) using two different methods (trapezoidal, polynomial).
🚀 InterpolatePy: A fast and precise Python library for production-ready trajectory planning, offering 20+ algorithms for C² continuous splines, jerk-limited S-curves, and quaternion interpolation for robotics, animation, and scientific computing.
Python and MATLAB code to find the definite integral of a user-defined function within given limits and defined iterations.
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