• Test run

Python
import sys, numpy as np
print("Hello from Python")
print("Python:", sys.version.split()[0], "NumPy:", np.__version__)

• Compute something simple (replace values as needed)

Python
import math
R = 10000      # ohms
C = 100e-9     # farads
fc = 1 / (2 * math.pi * R * C)
print("Cutoff frequency (Hz):", fc)

• Plot from a CSV URL (replace with your real CSV link)

Python
import pandas as pd
import matplotlib.pyplot as plt

url = "https://your-domain.com/your-data.csv"  # must be publicly accessible
df = pd.read_csv(url)
print(df.head())

plt.figure(figsize=(6,3))
plt.plot(df["time_s"], df["value"])
plt.xlabel("time_s")
plt.ylabel("value")
plt.title("Time Series")
plt.grid(True)
plt.tight_layout()
plt.show()

• Paste your Python code, or
• Tell me the calculation/plot you need (inputs, outputs, and any file URLs).