The goal of this example is to show how an existing C codebase for numerical computing (here c_code.c) can be wrapped in Cython to be exposed in Python.
The meat of the example is that the data is allocated in C, but exposed in Python without a copy using the PyArray_SimpleNewFromData numpy
| import streamlit as st | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from scipy.integrate import odeint | |
| def drag_coefficient(Re): | |
| """Calculate the drag coefficient using the empirical correlation.""" | |
| if Re < 1: | |
| return 24 / Re | |
| elif Re < 1000: |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | |
| % \embedvideo{<poster or text>}{<video file (MP4+H264)>} | |
| % \embedvideo*{...}{...} % auto-play | |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | |
| \usepackage[bigfiles]{pdfbase} | |
| \ExplSyntaxOn | |
| \NewDocumentCommand\embedvideo{smm}{ | |
| \group_begin: | |
| \leavevmode |
