alexlib

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:

alexlib

alexlib

alexlib

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% \embedvideo{<poster or text>}{<video file (MP4+H264)>}
% \embedvideo*{...}{...}                     % auto-play
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

\usepackage[bigfiles]{pdfbase}
\ExplSyntaxOn
\NewDocumentCommand\embedvideo{smm}{
  \group_begin:
  \leavevmode

alexlib

alexlib

alexlib

import napari
import numpy as np
import matplotlib.pyplot as pl
import h5py
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
#from qtpy.QtWidgets import QApplication, QMainWindow, QPushButton, QMenu, QVBoxLayout, QSizePolicy, QMessageBox, QWidget, QPushButton
import pyqtgraph as pg
from pyqtgraph.Qt import QtGui, QtCore
import sys

alexlib

import streamlit as st

# streamlit preparation
st.title('Four dependent sliders')

# Session state callbacks
def callback_x1():
    """The callback renormalizes the values that were not updated."""
    # Here, if we modify X1, we calculate the remaining value for normalisation of X2, X3 and X4
    remain = 100 - st.session_state.x1

alexlib

alexlib