Using fundamental constants is a key part of scientific computing. SciPy provides the `scipy.constants` module, which gives you access to many of the most important physical constants, such as **Planck's constant** (`h`) and the **speed of light** (`c`). These constants are essential when you need to solve physics or engineering problems that require precise calculations. One common scenario is calculating the **energy of a photon** when you know its frequency, which is a practical task in physics, chemistry, and engineering.


import unittest
import user_code
import ast
import re   
import unittest
import importlib
import math

class TestTask(unittest.TestCase):
    def test_photon_energy_5e14(self):
        import user_code
        importlib.reload(user_code)
        result = user_code.photon_energy(5e14)
        expected = getattr(user_code, 'h', None) * 5e14
        _dynamic_test(
            self,
            math.isclose(result, expected, rel_tol=1e-12),
            "Function returns correct energy for frequency 5e14 Hz",
            f"Expected {expected}, got {result}",
        )

    def test_photon_energy_zero(self):
        import user_code
        importlib.reload(user_code)
        result = user_code.photon_energy(0)
        _dynamic_test(
            self,
            result == 0.0,
            "Function returns 0.0 for frequency 0",
            f"Expected 0.0, got {result}",
        )

    def test_photon_energy_1e15(self):
        import user_code
        importlib.reload(user_code)
        result = user_code.photon_energy(1e15)
        expected = getattr(user_code, 'h', None) * 1e15
        _dynamic_test(
            self,
            math.isclose(result, expected, rel_tol=1e-12),
            "Function returns correct energy for frequency 1e15 Hz",
            f"Expected {expected}, got {result}",
        )

def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message
        test_case.assertTrue(True, success_message)
    else:
        test_case._testMethodName = failure_message
        test_case.fail(failure_message)

def normalize_text(text):
    text = text.lower()
    text = re.sub(r"\s{2,}", " ", text)
    text = re.sub(r"\s*([,:?])\s*", r"\1 ", text)
    return text.strip()

def change_var(code: str, var_name: str, value: str) -> str:
    tree = ast.parse(code)
    lines = code.splitlines()
    for i, node in enumerate(tree.body):
        if isinstance(node, ast.Assign):
            for target in node.targets:
                if isinstance(target, ast.Name) and target.id == var_name:
                    start_line = node.lineno - 1
                    line = lines[start_line]
                    indent = ' ' * (len(line) - len(line.lstrip()))
                    lines[start_line] = f"{indent}{var_name} = {value}"
                    next_line = len(lines)
                    for next_node in tree.body[i+1:]:
                        if hasattr(next_node, 'lineno'):
                            next_line = next_node.lineno - 1
                            break
                    if next_line > start_line + 1:
                        lines[start_line+1:next_line] = []
                    
                    return '\\n'.join(lines)
    return code

if __name__ == "__main__":
    unittest.main()


test_main.py

A comprehensive course designed for students with strong math backgrounds and intermediate to advanced Python skills, focusing on leveraging SciPy for scientific computing, optimization, integration, and advanced mathematical operations.

Explore the structure, core modules, and essential features of SciPy for scientific computing.

Dive into SciPy's powerful linear algebra capabilities for solving real-world mathematical problems.

Master optimization techniques and root-finding algorithms using SciPy for scientific and engineering problems.

Explore advanced mathematical operations including integration, interpolation, and basic signal processing with SciPy.

Challenge: Constants in Scientific Calculations

Solution

Awesome!

Challenge: Constants in Scientific Calculations

Solution