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    "# Looping Over a Function\n",
    "\n",
    "There are often scenarios where we need to execute a function multiple times with different inputs. This repetitive task can be efficiently accomplished in Python using a powerful construct known as a `for` loop. \n",
    "\n",
    "## Why Loop Over a Function?\n",
    "\n",
    "Consider a situation where you have a function that performs a specific task or computation, and you need to apply this function to a collection of values or items. Instead of manually calling the function for each input, which can be tedious and error-prone, you can harness the for loop's capabilities to automate this process. Looping over a function allows you to:\n",
    "\n",
    "- **Reuse Code**: You can encapsulate a specific functionality within a function and then effortlessly apply it to multiple data points without duplicating code.\n",
    "\n",
    "- **Efficiency**: Automating repetitive tasks enhances code efficiency, making it easier to maintain and less prone to errors.\n",
    "\n",
    "- **Scalability**: As your data set grows, using loops to apply a function becomes indispensable, ensuring that your code remains adaptable to various input sizes.\n",
    "\n",
    "Let's illustrate this concept with an example using a temperature conversion function, `celsius_to_kelvin`, which converts Celsius temperatures to Kelvin:"
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      "282.25\n",
      "281.95\n",
      "3.0\n"
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    "def celsius_to_kelvin(cels):\n",
    "    return cels + 273.15\n",
    "    \n",
    "for temperature in [9.1, 8.8, -270.15]:\n",
    "    print(celsius_to_kelvin(temperature))"
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    "During the loop, `celsius_to_kelvin` is executed with 9.1, 8.8, and -270.15, respectively, demonstrating the power of automating repetitive tasks through function iteration.\n",
    "\n",
    "## Use Cases\n",
    "\n",
    "- **Data Processing**: When dealing with large datasets, you can use loops to apply data transformation functions to each data point, such as converting units, cleaning data, or performing calculations.\n",
    "\n",
    "- **Batch Operations**: In scenarios where you need to perform the same operation on multiple files, records, or objects, looping over a function simplifies the process.\n",
    "\n",
    "- **Simulation and Modeling**: For simulations or mathematical models, you may need to run a function with various input parameters repeatedly to analyze different scenarios.\n",
    "\n",
    "- **Automation**: In automation scripts, you can loop over functions to perform tasks like file processing, network operations, or interacting with external APIs."
   ]
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